International Journal of Logistics Systems and Management (161 papers in press)

Regular Issues

• How Supply Chain Resilience is achieved in SMEs of Dubai, UAE? Considering the Flexible Supply Chain Practices as a Mediator  
  by Anas Abudaqa, Rashed Alzahmi, Mohd. Faiz Hilmi, Gouher Ahmed 
  Abstract: This study explores the role of supply chain design (SCD), supply chain collaboration, and supply chain risk in achieving supply chain resilience in manufacturing small and medium-sized enterprises (SMEs) in Dubai. The 323 responses received were analysed through structural equation modelling using SmartPLS 3.0 software. The findings indicate that SCD, collaboration, and risk management enhance supply chain resilience in manufacturing SMEs in Dubai. The flexible practices of the supply chain, with its constituent dimensions of information sharing and postponement extent, are not significant for any examined relationship. Furthermore, the mediating effect is positive but not strong for all the intervening relationships. The study has practical implications for shaping corporate policy for manufacturing SMEs. Relevant management and policymakers can use the findings to consider effective designs of a collaborative system of supply chain and supply chain risk management in achieving supply chain resilience.
  Keywords: supply chain resilience; supply chain flexibility; supply chain design; SCD; supply chain collaboration; SCC; supply chain risk; small and medium-sized enterprises; SMEs; Dubai.
  DOI: 10.1504/IJLSM.2021.10039112
   
  
• A general variable neighborhood search for the commodity constrained split delivery vehicle routing problem  
  by Taicir Loukil, Cheikh Mohamed 
  Abstract: The commodity constrained split delivery vehicle routing problem (C-SDVRP) is a relaxed version of the classical VRP. This problem emanates where customers request several commodities that can be delivered separately using a set of vehicles. With limited capacity, these vehicles can convey any mixed commodities set. More than one vehicle may visit one customer, and in each visit, each product must be delivered in its entirety. The objective is to minimise the total cost of the vehicle routes. To solve the C-SDVRP, we propose a general variable neighbourhood search (GVNS) that uses a random variable neighbourhood descent (RVND), in which we explore five neighbourhood structures. Computational experiments on large-sized instances show that the proposed approach finds several new best-known solutions, together with some improvement on the number of used vehicles. The results demonstrate that GVNS has a fast convergence rate and high computational accuracy.
  Keywords: vehicle routing problem; multiple commodities; split delivery; metaheuristics; variable neighbourhood search.
  DOI: 10.1504/IJLSM.2021.10039186
   
  
• Mode choice problem in context of freight transportation: A systematic review and bibliometric analysis  
  by Vipulesh Shardeo, Anchal Patil, Jitendra Madaan, Ashish Dwivedi 
  Abstract: The planning for freight transportation comprises of several activities that facilitate the transportation process but expends complexities. Mode choice problem (MCP) is one of the crucial activity affecting the performance of the freight transportation. A strong consideration for the decision process in mode choice/selection issues might reduce the complexities of managing transportation network in case of disruptions such as COVID-19. Therefore, it becomes essential to understand the complexities of MCP in facilitating the transportation system and prepare lessons for future disruptions. A content and bibliometric analysis is presented on previous studies specific to MCPs in context of freight transportation. The contribution of this study is in threefold: Firstly, bibliometric analysis is presented to highlight the research trends. Secondly, the classification of focus research areas are presented. Lastly, the identification of challenges and issues are projected for future research domains.
  Keywords: bibliometric analysis; content analysis; freight transportation; intermodal transportation; mode choice.
  DOI: 10.1504/IJLSM.2021.10039381
   
  
• A macro-view of the supply chain management adoption status in India: Insights from manufacturing firms  
  by Srichandan Sahu, Narayana K.V.S.S. Rao 
  Abstract: A macro-view of the supply chain management (SCM) adoption status in India is absent. Insights on the quantum SCM adoption, the process areas of adoption, the reasons for the adoptions and non-adoptions, and a comparison of the adopter and non-adopter firms in terms of process capabilities and firm performance are also not covered in the previous literature. The present study has created a comprehensive macro-view of SCM adoption in India based on a survey of the large manufacturing firms in India. This study finds that SCM adoption in India is low. The findings also emphasise that business case preparation is an important precursor to SCM adoption. SCM adoption results in a positive return on investment (ROI), with a lag of one to five years. Adopter firms were found to have higher operational performance, and market share than non-adopter firms. The findings of this study have practical managerial implications for practitioners, SCM vendors, consultants, researchers, and industry bodies.
  Keywords: supply chain management; SCM; adoption; diffusion; barrier; SCM macro-view; India; survey; process capability.
  DOI: 10.1504/IJLSM.2021.10039819
   
  
• A Proposal of Selection and Analysis of Criteria for Sustainable Supplier Selection Based on Fuzzy DEMATEL  
  by Leticia R. Rodrigues, Lucas Calache, Lauro Osiro, Gilberto Miller Devós Ganga 
  Abstract: The proper sustainable criteria selection is an essential phase in the decision-making process for sustainable supplier selection. This study presents a decision-making model based on the application of the fuzzy DEMATEL technique to select sustainable criteria and evaluate the relationships among them for supplier selection problems. The criteria used were based on the triple bottom line dimensions (economic, environmental, and social). The DEMATEL operations were performed using triangular fuzzy numbers to represent the linguistic terms of experts’ judgments. The DEMATEL causal diagram shows the degree of importance and influence of each criterion, which is analysed by managers to select the most relevant ones. The proposed model was applied to a real case of a glass packaging company. The application results show a consensus among expert’s perspectives and a clear understanding of sustainable criteria importance and their interrelationships, which can be used for the development of company sustainable strategies.
  Keywords: sustainable supplier selection; fuzzy set theory; FST; DEMATEL; multi-criteria decision making; MCDM.
  DOI: 10.1504/IJLSM.2021.10040210
   
  
• Qualitative exploration of issues of Indian generic medicine supply chain using ISM-MICMAC  
  by Shweta ., Dinesh Kumar 
  Abstract: The current research scenario necessitates an integrated supply chain, as integration would result in improved transparency and flexibility and reduced waste. To develop an integrated supply chain, efforts are made to build a qualitative model based on an Indian generic medicine company’s case study. Field survey, interview and brainstorming sessions identified 20 essential issues that function in integration. A structural model using the interpretive structural modelling (ISM) technique has been developed to show the interrelationships among the issues of generic pharmaceutical supply chain (GPSC). Results reveal that the total cost to the customer has been driven by time to fulfil customers’ orders, vendor selection process and transportation cost. Warehouse design consumes maximum time, cost and resources driven primarily by quality control, monitoring and stock-keeping units.
  Keywords: pharmaceutical supply chain; PSC; interpretive structural modelling; ISM; qualitative analysis; healthcare; generic medicine.
  DOI: 10.1504/IJLSM.2021.10040224
   
  
• Methodology for the supplier selection and valuation problem by using a combined grouping and multi-criteria approach  
  by Anyi Reyes, John Wilmer Escobar, Julio Londoño 
  Abstract: The supplier selection problem (SSP) determines the choice of the best suppliers by considering qualitative and quantitative criteria. This paper proposes a two-stage hybrid methodology for selecting suppliers using the K-means grouping technique and the multi-criteria decision-making technique for order performance by similarity to ideal solution (TOPSIS). In particular, suppliers are grouped according to the K-means algorithm using diverse purchase categories of services and goods. Once the groups of suppliers with the best performance have been generated by considering several criteria, the TOPSIS algorithm establishes their ranking. The proposed approach seeks to minimise the purchase cost by selecting the suppliers with the best results under different criteria. The former methodology has been tested in a real case on a company belonging to the agro-industrial sector in Colombia. The obtained results show the efficiency of the proposed approach.
  Keywords: supplier selection; k-means grouping method; MCDM; supply chain management; TOPSIS.
  DOI: 10.1504/IJLSM.2021.10040262
   
  
• The effects of information technology-enabled supply chain ambidexterity and their indirect effect on firm performance: An empirical study conducted under environmental turbulence  
  by Adilson C. Yoshikuni, Frederico Ribeiro Galvão 
  Abstract: This study draws on the dynamic capabilities view and examines how information technology capabilities (ITC) enhances supply chain ambidexterity (SCA) and firm performance (FP); in which SCA is a combination of market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) geared at addressing changing customers’ needs under environmental turbulence. This survey is based on data from 235 Brazilian companies and analysis done using partial least squares path modelling (PLS-PM). The results suggest that ITC influences SCA in sequence to enhance FP. SCA in environments with higher turbulence enables firms to gain superior performance. The survey shows that this is more prevalent in the manufacturing sector compared to other industries. Additionally, the findings demonstrated that the relationship between ITC and FP was mediated by SCA. The study is one of the first to develop a supply chain ambidexterity measure that integrated market sensitivity (exploration capabilities) and operational adjustment (exploitation capabilities) enabled ITC.
  Keywords: information technology; IT; information technology capabilities; ITC; supply chain ambidexterity; SCA; operational adjustment; environmental turbulence; market sensitivity; firm performance.
  DOI: 10.1504/IJLSM.2021.10040264
   
  
• Energy inefficiency in last mile logistics: a solution proposal in Smartcities  
  by Rubén Sainz González, Valeriano Martinez, Ingrid Mateo-Mantecón 
  Abstract: The population increase in urban areas poses a great challenge for public authorities and it has intensified the search for innovative ways to handle urbanisation with minimal impact on environment, citizen lifestyle and governance. Smart city emerged as a solution to address the challenges posed by urbanisation and population growth and can be very useful to reduce energy inefficiency derived from last mile freight. The integration of information and communication technology (ICT) with city operations provides an opportunity to develop new and innovative solutions to meet urban challenges. In this context, the Spanish city of Santander developed the SmartSantander Project, funded by the European Commission, to improve energy efficiency and traffic regulation through the internet of things (IoT). This paper aims at improving last mile logistics by proposing alternatives that take advantage of smart city infrastructure to reduce the negative side effects of transport activities.
  Keywords: urban freight; last mile; logistics; urban consolidation centres; UCCs; superblocks; energy efficiency.
  DOI: 10.1504/IJLSM.2021.10040265
   
  
• EXPLORATORY ANALYSIS OF THE VIABILITY OF CROWDSOURCED DELIVERY IN EGYPT: DEVELOPING A PEER-TO-PEER PLATFORM  
  by Karim Soliman 
  Abstract: Peer-to-peer (P2P) crowdsourced delivery is considered one of the services offered through the crowdsourced delivery platform by pairing locals willing to dispatch small packages and parcels with dedicated couriers or commuters travelling the same way. The main aim of this research is to assess the viability of the crowdsourced delivery notion in Egypt through a P2P platform to link parcel owners and commuters who are willing to participate in such a process for an easy, smooth, quick and ecological parcel delivery. This study is considered an exploratory analysis adopting a deductive approach and relying on quantitative research methodology based on a quantitative data collection method using a questionnaire. The respondents’ reactions towards applying such innovation in Egypt were quite encouraging and promising great chances of success. This research adds to the concept of crowdsourcing delivery in Egypt, while critically exploring opportunities and challenges for all stakeholders involved in the P2P process.
  Keywords: peer-to-peer; P2P; crowdsourced delivery; commuters; last-mile delivery; Egypt.
  DOI: 10.1504/IJLSM.2021.10040470
   
  
• Green Supply Chain Management Influences on the Environmental and Operational Performance: A Case study of the Printing Industry  
  by Mohammed Obeidat, Nader Theeb, Muna Bellih 
  Abstract: Environmental awareness has recently increased dramatically worldwide. This results in adopting several environmental preservation methods, such as the green supply chain management (GSCM) practices. This paper discusses the impacts of implementing GSCM practices on the environmental (EP) and operational performance (OP) considering a printing press industry in Jordan. Several GSCM practices were implemented at a printing press in Jordan. Collected data before and after implementing the GSCM practices were analysed statistically considering the multivariate analysis of variance (MANOVA) and the analysis of variance (ANOVA). Results showed that the internal environmental management (IEM) has positively decreased waste generation and increased operational quality. However, IEM has negatively decreased the associated noise. This was quite the opposite of waste management and green procurement methods, which showed positive effects on decreasing noise. Waste management also participated in decreasing diesel consumption. In addition, green transportation has a negative effect on decreasing new order’s delay.
  Keywords: green supply chain management; GSCM; environmental performance; operational performance; printing industry; statistical analysis.
  DOI: 10.1504/IJLSM.2021.10040502
   
  
• Mitigation of High Consequence Supply Chain Disruptive Effects on Stores and Consumers  
  by Varinder Sharma, Dinesh S. Dave, Ajay Aggarwal, Kiran S. Sharma 
  Abstract: High consequence supply chain disruptions adversely affect stores and consumers. The stores inherit prolonged stockouts resulting in loss of consumer trust and commitment and their patronage leading to substantial losses. Consumers feel compelled to pay inflated prices at grey markets, patronise other outlets, or learn to live without them. There is a dearth of studies offering strategies to mitigate such disruptive effects quickly and cost-effectively thereby leaving a gap in supply chain strategies, which this study attempts to fill by offering a novel implementable model using the repurposed marketing strategies. The model suggests that the stores can mitigate such disruptive impacts by regaining consumer trust and commitment. This study contributes substantively to the supply chain strategies and builds a bridge for future development and testing applications of re-purposed strategies to specific types of high consequence disruptions. This study furnishes purposeful managerial implications and directions for future research.
  Keywords: supply chain; high consequence disruption; mitigation; marketing strategies; trust; commitment.
  DOI: 10.1504/IJLSM.2021.10040591
   
  
• Dairy Industry in India  
  by Narassima MS, S.P. Anbuudayasankar, Vineesh D 
  Abstract: Dairy manufacturing is one of the oldest sectors that involve the production of liquid milk, ghee, curd, butter, etc. The sector has witnessed transformation with ages by serving people with many dairy-based products as needed. Dairy farmers have been resilient in handling the pandemic with the support of the government through societies. Yet, risks could be handled better by redefining the traditional production process and attracting more farmers to join societies. The present study is structured into three phases. The first phase assesses the economic impact of the pandemic on the Indian dairy sector in terms of gross production value. The second phase involves a case study conducted on a dairy manufacturing unit using a simulation approach. Recommendations based on supply chain. The final phase involves an empirical study with dairy farmers to understand various aspects of dairy farming. Implications have been provided to improve the sustainability of the sector.
  Keywords: dairy industry; simulation modelling; economic impact assessment; empirical study; supply chain management.
  DOI: 10.1504/IJLSM.2021.10040592
   
  
• Theoretical relationship between the cluster size of orders in the materials requirement planning  
  by Fabricio Orlando Sanchez Varretti, Tania Daiana Tobares, Margarita Miguelina Mieras, Ricardo Raúl Palma 
  Abstract: In times of globalisation and competitive markets, it is crucial for organisations to focus their activities on processes planned to promote efficiency. Material requirements planning addresses the need to consider various alternative techniques of organisation in order to acquire the capacity for constant adaptation to demand. The objective of our work is to develop a model that allows us to determine the optimal lot sizing with lower costs by using a mathematical model applicable to all the options of material requirement. The study focuses, analytically and graphically, on the behaviour of the system when clusters are carried out in certain set of orders. It is intended that organisations take advantage of the generation, integration and analysis of data throughout the production process for real-time decision making.
  Keywords: lot sizing; materials; clusters; optimisation.
  DOI: 10.1504/IJLSM.2021.10040859
   
  
• Supply Chain Versus Value Chain: Mapping the Boundaries within a Hirschmanian Framework  
  by Prosper K. Hoeyi  
  Abstract: Among the many contributions made to supply chain theory are those related to the topography of supply chains. While this paper agrees that different supply chains may be shaped differently, it finds it difficult to accept the notion of a supply chain whose terminal point is not the customer. Therefore, this theoretical paper argues that a supply chain will remain largely vertical in shape even if aspects of it take different shapes. To bring clarity to this argument, the paper defers to Hirschmann’s framework where supply chain is discussed alongside the related concepts of economic sector, linkages, and industry. Doing so results in a conceptual framework that maps the place of the supply chain in the wider economy and proving that a supply chain is essentially vertical in shape and that value chain is associated with backward linkage whereas supply chain is associated with forward linkage.
  Keywords: diversification; industry; integration; linkages; sector; synergy.
  DOI: 10.1504/IJLSM.2021.10040902
   
  
• Modeling the Factors Affecting the Adoption of Mobile Supply Chain Management in the Food Distribution Industry  
  by Ameneh Khadivar, Hamideh Nazarian, Saiedeh Salemi 
  Abstract: Mobile supply chain management (mSCM) can be considered as a solution to reduce costs and increase competitive advantage. Thus, this study aims to identify the key factors affecting the adoption of mSCM systems and explore their importance in the food distribution industry. For this purpose, a survey has been conducted among 90 companies active in the food field, and the required data was collected through a questionnaire distributed among experts and managers of these companies. Data analysis was carried out via structural equation modelling. Constructs of the research model are obtained from the combination of technology, organisation, and environment (TOE) theory and inter-organisational relationships theory (IOR), which is prioritised from the users’ point of view as IOR factors, environmental factors, organisational factors, and technological factors. Besides, research findings show that in the IOR dimension, as the key factor in the adoption of mSCM, 'information sharing' is far more substantial.
  Keywords: supply chain management; SCM; mobile supply chain management; mSCM; adoption model.
  DOI: 10.1504/IJLSM.2021.10040905
   
  
• Reference Framework for Material Handling Equipment Selection in Distribution Centers  
  by German Guillermo Torres-Hernández, Rafael Guillermo García-Cáceres, John Escobar-Velásquez 
  Abstract: The current paper proposes a methodology intended to facilitate decision making in material handling equipment selection (MHES) contexts in which distribution centre (DC) design or redesign is needed. A list of 119 decision criteria and 134 equipment alternatives is presented, all of them obtained from a survey on the material handling systems market and a literature review. The focus of the present work is the introduction of a MHES methodology comprising 12 steps and a series of components that provide a solid reference when it comes to facilitating the decision-making process. A study case is developed in a well-known Colombian 3PL (Third-Party-Logistics) firm. In it, seven usually unheeded equipment alternatives were qualified by means of 18 criteria. As one of the few existing public environment decision techniques, SMAA-O was selected as the current multi criteria decision making (MCDM) procedure due to its capability to handle different types of information simultaneously.
  Keywords: distribution centre; DC; design; material handling equipment selection; MHES; multiple criteria decisions making; MCDM; SMAA-O; storage racks; supply chain.
  DOI: 10.1504/IJLSM.2021.10041006
   
  
• Enterprise production activity modeling with performance and risk criteria of working capital structure  
  by Mark Gorskiy 
  Abstract: he objective of the study is to develop and adapt mathematical models and methods for optimising its production and financial sectors’ parameters for a production company in the construction industry, with the efficiency and risk criteria and restrictions on production, technological, financial and resource potential. The article presents the rationale for the proposed approach, the formulation and mathematical models of choosing the optimal options for the production programs of the enterprise and their financing; numerical algorithms for solving the problems in continuous and integer versions, including new methods for solving nonlinear discrete NP-complete problems; implementation scenarios, implementation options and conclusions based on empirical calculations using the developed models and methods.
  Keywords: production enterprise; working capital; cost efficiency; capital structure risk; capital leverage; optimal capital structure; linear programming; nonlinear programming; convex programming.
  DOI: 10.1504/IJLSM.2021.10041007
   
  
• Reducing the Carbon Footprint of Road Freight Transport for Egyptian Companies: The Application of the Analytic Hierarchic Process  
  by Sahar Elbarky, May Salah 
  Abstract: Transportation is a significant source of carbon emissions and other toxic discharges. This study investigates and ascertains the most appropriate strategies to minimise carbon emissions caused by the transportation sector in Egypt. The analytic hierarchy process (AHP) was applied as a multiple-criteria decision-making tool. A survey was developed to collect information on a pair-wise comparison of predefined reduction criteria for carbon emissions and determine viable alternatives. A case study was also conducted to validate the findings obtained through AHP. The results of the applied methodology indicated that transportation management recorded the highest preference score of 40%, followed by the logistics system design at 28%, model choice at 14%, vehicle technology at 9% and the use of alternative fuel at 6%. A massive reduction of the carbon footprint was registered in the case study of implementing the best-selected strategy. The research assists logistics practitioners in enhancing their environmental performance.
  Keywords: carbon footprint; CO2 emission mitigation strategies; climate change; analytic hierarchy process; AHP; green transportation.
  DOI: 10.1504/IJLSM.2021.10041040
   
  
• Developing a supply chain management maturity model based on the process approach: An adaptive framework for improving operations performance  
  by Gholam Reza Nasiri, Behrooz Karimi, Mohammad Najjartabar Bisheh, Jalil Heidari 
  Abstract: In this study, a hierarchical framework for enhancement of supply chain performance has been developed based on maturity model concepts. The proposed structure consists of five integrated levels, and after evaluation each supply chain will be placed in one of these maturity levels. The most important feature of the developed model is creating an exact relationship between various supply chain management areas and supply strategies. Therefore, the position and transposition of each component will be carefully determined. In addition, some statistical hypotheses have been designed and experimental analysis of the maturity levels has been conducted to further model property analysis and discussion. To this end, a comprehensive questionnaire was distributed between supply chain/logistics experts from 20 companies to evaluate the level of maturity and organisation capability. Considering the identified weaknesses, strategies and action plans to improve the level of maturity are defined and the main output of the model is discussed.
  Keywords: supply chain; maturity model; excellence of networks; network efficiency; supply chain adaptability; sustainable; operations performance; assessment of performance.
  DOI: 10.1504/IJLSM.2021.10041132
   
  
• Enhancing operational performance through supply chain integration: the mediating role of resilience capabilities under COVID-19 pandemic  
  by Mahmoud Barakat, Ahmed Ali, Tarek Madkour, Ahmed Eid Awad Allah 
  Abstract: Today’s business environment is characterised by rapid market fluctuations because of COVID-19. Drawing on resources-based view and resilience theory, this research proposes a framework in which supply chain integration (SCI) (internal, supplier and customer integration) can be used to enhance operational performance (OP) through four resilience capabilities (flexibility, redundancy collaboration and visibility) under COVID-19. Structural equation modelling was used to investigate the relationships among the research variables using 468 questionnaires from SMEs in the Egyptian market. Results indicated that there is a lack of direct impact from SCI to OP, except for internal integration and cost performance. In addition, resilience capabilities can significantly mediate the relationship between SCI and OP. Testing the relationships among the research variables under COVID-19 conditions will help in extending the theories. in addition, this will offer in depth understanding of the interrelationships between supply chain integration, resilience and operational performance.
  Keywords: operational performance; supply chain resilience; SCR; supply chain integration; SCI; environmental uncertainty.
  DOI: 10.1504/IJLSM.2021.10041208
   
  
• Evaluating Supply Chain Resilience: A Resilience Capacity Perspective  
  by Zikai Zhou, Seyedmohsen Hosseini 
  Abstract: Supply chain resilience (SCR) is the ability of a supply chain to maintain, resume, and recover operations aftermath of a severe disruptive event, which is one of the key factors within the field of supply chain management. This study reviews and summarises the existing literature on SCR and proposes a conceptual model for the evaluation of SCR from a resilience capacity perspective. Measurements for three resilience capacities were developed and data were collected from supply chain managers across different industries in the USA to evaluate the proposed research model. This research provides a new framework for the evaluation of SCR in terms of three lines of defence from the empirical perspectives and provides the companies with a useful and substantial tool in dealing with potential threats or disruptions from those supply chain risks.
  Keywords: supply chain resilience; SCR; supply chain risks; resilience capacities; risk management performance; absorptive capacity; adaptive capacity; restorative capacity.
  DOI: 10.1504/IJLSM.2021.10041377
   
  
• Logistical outsourcing in a virtual digital world: the dilemma for logistics service providers  
  by Mauro Vivaldini 
  Abstract: This paper contextualises the impact of the transformations, arising from an increasingly virtual digital world, on logistics service providers (LSPs). The influence of changes driving logistical services to ever-increasing immediacy is also examined. As this paper addresses a still recent topic in the literature, with a restricted and limited research focus (logistical immediacy), this paper adopts a systematic literature review as the research method. A proposition concerning the dilemma faced by LSPs is constructed by highlighting aspects related to opportunities and implications, questioning the current model of logistical services adopted by companies. In addition to this contribution, the study presents several insights capable of leading to new ideas and new research avenues.
  Keywords: digital technology; e-commerce; logistic platforms; logistic service; logistical immediacy; logistics service providers; LSPs.
  DOI: 10.1504/IJLSM.2021.10041380
   
  
• Operational Efficiency in Brazilian Airports: An Analysis through the Hierarchical Linear Modeling with Repeated Measures  
  by Patrícia Belfiore, Luiz Paulo Lopes Fávero, Ricardo G. Serra, Rafael Freitas Souza 
  Abstract: We analysed the efficiency of the 30 largest Brazilian airports during 20142018 using a two-stage model. In the first stage, we determined the airports operational efficiency; in the second stage, we identified variables explaining that efficiency. The first stage used data envelopment analysis and the second stage estimated a three-level hierarchical linear model with repeated measures. We concluded that: 1) location played an important role in airport efficiency; 2) efficiency decreased, on average, over the analysed period; 3) the interest rate (the only significant economic factor) negatively affected efficiency; 4) the number of aircraft parking positions, airport years of experience, and number of airlines positively affected efficiency; 5) the governance structure (public, private, or mixed), airport size, number of commercial establishments, and number of vehicle parking lots did not significantly affect efficiency variability; 6) our novel approach produced a better prediction in comparison to traditional regression methods.
  Keywords: data envelopment analysis; performance analysis; three-level hierarchical linear model with repeated measures; efficiency and productivity; airport: Brazilian.
  DOI: 10.1504/IJLSM.2021.10041560
   
  
• An integrated methodology based on machine-learning algorithms for biomass supply chain optimization  
  by Duy Nguyen Duc, Narameth Nananukul 
  Abstract: This paper presents an integrated methodology for biomass supply chain planning, using a stochastic optimisation model and machine-learning algorithms. A methodology that integrates machine-learning algorithms with the optimisation process was proposed in order to generate solutions for large-scale supply chain optimisation problems. Models based on artificial neural network (ANN) and Bayesian network were developed by using the knowledge from previously-solved problems, to define good starting points for the search for solutions in the optimisation process. With this novel approach, the search space can be reduced and optimal solutions found with a shorter runtime. The applicability of the proposed approach was evaluated with a case study relating to biomass supply chain planning in the Central Vietnam region. The results from the proposed framework reveal that the optimal biomass plan for biomass supply chain can be determined with accuracy up to 96%, with a decrease in runtime by 37.19% on average.
  Keywords: machine learning; optimisation; relaxation induced neighbourhood search; biomass supply chain planning; artificial neural network; Naïve Bayes; Bayesian network.
  DOI: 10.1504/IJLSM.2021.10041561
   
  
• The influence of supply chain strategies on manufacturing competitiveness  
  by Benitha M. Myamba, Deusdedit A. Rwehumbiza 
  Abstract: The current shift of competition from between firms to supply chains makes supply chain strategies a valuable way of improving manufacturing competitiveness across the globe. However, the relationship between the supply chain strategies and manufacturing competitiveness has been treated piecemeal. This study examines the relationship between the supply chain strategies and manufacturing competitiveness through the resource-based view (hereinafter RBV). The study adopts a positivist philosophy and survey strategy. With the assistance of partial least squares structural equation modelling (PLS-SEM) the hypothesised relationships between the supply chain strategies and manufacturing competitiveness are tested with data from 300 manufacturers. The findings indicate that the supply chain strategies are positively related to manufacturing competitiveness. These findings provide support to the RBV, that internal resources are crucial for devising efficient and effective supply chain strategies. This study advances the existing knowledge of supply chain management and firm performance by linking supply chain strategies to manufacturing competitiveness. Furthermore, the results may help manufacturers to allocate resources to key supply chain strategic areas for superior competitiveness.
  Keywords: supply chain; supply chain strategies; efficiency; responsiveness; risk hedging; agility; manufacturing; manufacturing competitiveness; resource-based view; RBV.
  DOI: 10.1504/IJLSM.2021.10041634
   
  
• Reliable and Flexible Supplier Selection Problem: A Genetic Algorithm Inspired Simulation Approach  
  by Sangeeth P. Das, VISHNU C. R., M.N. Anish, Rajagopalan Sridharan, P.N. Ram Kumar 
  Abstract: Strategic decision making in a supply chain commences with a proper sourcing plan. Disruptions in the supply side will certainly inflict cascading effects throughout the chain. To minimise this vulnerability, the procurement system should be incorporated with strategic risk mitigation capabilities like reliability and flexibility. However, the financial implications for improving risk management capabilities and the absence of a suitable decision support system to handle the inherent computational complexities restrained enterprises from upgrading their systems. The present research intends to meet this requirement by proposing a novel multi-objective mathematical model to prepare a procurement plan that optimises reliability and flexibility together with different cost components. Since the proposed model contains nonlinear constraints and mixed-integer variables, we present a simulation-based optimisation methodology inspired by genetic algorithm to solve the model. An illustrative problem is solved, and the managerial implications are discussed to exhibit the scope of the proposed model.
  Keywords: supplier selection; order allocation; multi-objective; reliability; flexibility; simulation.
  DOI: 10.1504/IJLSM.2021.10041692
   
  
• DYNAMIC MODELS OF TRANSPORT RESOURCES MANAGEMENT  
  by Aleksandr Mishchenko, Oleg Kosorukov, Olga Sviridova 
  Abstract: The article discusses various models for managing transport resources, the purpose of which is to distribute a finite number of transport units along several routes of land urban transport. The values reflecting the timeliness of transport services provided to the population were taken as the optimisation criteria when searching for a solution. So, for example, models were considered when it was required to minimise the total loss of time waiting for transport services, as well as the number of passengers whose waiting time exceeds a certain critical value. In addition, a stochastic model of transport resource management was considered, when various scenarios of the development of events were taken into account (different intensities of passengers arriving at stops). Methods for assessing the stability of solutions obtained using the branch and bound methods were proposed.
  Keywords: optimisation problem; urban passing of transport; branch-and-bound method; stochastic model.
  DOI: 10.1504/IJLSM.2021.10041729
   
  
• Covid-19 Pandemic Supply Chain Disruption and Simulation of Retail Store Resilience  
  by Varinder Sharma, Ajay Aggarwal, Dinesh S. Dave 
  Abstract: The uncontrollable spread of the COVID-19 pandemic and countries’ countervailing responses to mitigate its impact on their people led to prolonged stockouts of essential consumer products, resulting in consumer panic buying, which further exacerbated the stockout crisis. The retail stores were unable to mitigate this crisis. This study offers a conceptual framework for retail stores to become resilient to such disruptions in the future using their existing resources and capabilities. Later, we illustrate the testing of the framework using simulation methodology. The results demonstrate that stores can quickly and cost-effectively mitigate stockouts by deploying appropriate substitute products, discounts, return policies, demand containment, and effective communication with consumers. Finally, we furnish implications for supply chain resilience and retail managers and describe the study’s limitations.
  Keywords: supply chain resilience; prolonged stockout; high consequence disruptions; HCDs; simulation of resilience; extant resources and capabilities.
  DOI: 10.1504/IJLSM.2021.10041792
   
  
• Cooperative advertising in manufacturer  
  by Amin Zaheri, Majid Rafiee 
  Abstract: This paper considers one manufacturer’s and one retailer’s behaviours in a two-level supply chain under cooperative and non-cooperative relationships. The non-cooperative relationships are modelled through three games including Stackelberg-manufacturer, Stackelberg-retailer, and Nash game; moreover, the cooperative relationships are modelled by one cooperative game. In the two-level supply chain, the demand is sensitive to national brand name advertising, local advertising, and price. Furthermore, inventory costs including holding costs, shortage costs, and ordering costs are considered. The aim of this research is to compare the members’ behaviours and profits in the different types of relationships, and in a situation, we find out whether the members prefer to transfer from a game to another game or not. A numerical example is presented in an effort to analyse the members’ decision in the different types of relationships; in addition, a method is presented in order to improve variables which are determined by a contract.
  Keywords: cooperative game; Stackelberg game; inventory costs; supply chain coordination; co-op advertising.
  DOI: 10.1504/IJLSM.2021.10041795
   
  
• A Systematic Review and Research Direction on the Interaction between Organisational Factors, Supply Chain Risk Management, and Biodegradable Plastics  
  by Taofeeq Durojaye Moshood, Gusman Nawanir, Fatimah Mahmud, Fazeeda Binti Mohamad, Mohd Hanafiah Ahmad, Airin AbdulGhani 
  Abstract: Supply chains have become more dynamic, intertwined, and interdependent due to this process of globalisation. These supply chains are also marked by external uncertainties, such as fluctuations in the currency exchange rate, adjustments in the import tax rate and so on. Thus, a business needs to achieve a strategic edge to handle global supply chain uncertainty and related risks. This study focused on the link between organisational factors and the management of biodegradable plastics supply chain risk management to sustainability, as well as the role of coercive pressure as a moderating variable. The use of intelligent supply chain risk management of biodegradable plastics is critical to focus on environmental challenges while also managing economic and social advantages. This research will also determine the level of biodegradable plastics risk management in the supply chain and build a risk management supply chain system to help Malaysia’s biodegradable plastics increase substantially.
  Keywords: biodegradable plastics industry; supply chain risk management; coercive pressure; organisational control theory; contingency theory.
  DOI: 10.1504/IJLSM.2021.10041860
   
  
• Framework for warehouse receiving process design and implementation  
  by Bruno Machado, Carina Pimentel, Sara Costa 
  Abstract: The warehouse management is one of the main tasks to be performed in an industrial company since it guarantees the efficiency of the processes linked to the warehouse, satisfying the needs of the downstream areas within the company. The receiving process is crucial to the management of a warehouse and it was found as a lack of literature since few articles have this topic within its scope. The purpose of this paper is to present a conceptual framework and provide practitioners and project managers with a step-by-step method when designing a warehouse receiving process. Furthermore, a case study is also presented where the main objective is the implementation of the framework and test its validity. The main contribution of this paper is the conceptual framework as a guideline for warehouse receiving process design and also the detailed description of a successful implementation of the framework in a real case study.
  Keywords: warehouse management; receiving process design; framework; case study; discrete-event simulation.
  DOI: 10.1504/IJLSM.2021.10041863
   
  
• Deep learning in Logistics: systematic review  
  by Khaoula Sahraoui, Samia Aitouche, Karima Aksa 
  Abstract: Logistics is one of the main tactics that countries and businesses are improving in order to increase profits. Another prominent theme in today’s logistics is emerging technologies. Today’s developments in logistics and industry are how to profit from collected and accessible data to use it in various processes such as decision making, production plan, logistics delivery programming, and so on, and more specifically deep learning methods. The aim of this paper is to identify the various applications of deep learning in logistics through a systematic literature review. A set of research questions had been identified to be answered by this article.
  Keywords: logistics; deep learning; state of the art; systematic literature review; SLR.
  DOI: 10.1504/IJLSM.2021.10041942
   
  
• The impact of green and sustainable supply chain management practices on sustainable performance: A comparative analysis  
  by Imane TRONNEBATI, Fouad Jawab 
  Abstract: The objective of this paper is to provide a comparative analysis of the impact of green supply chain management (GSCM) and sustainable supply chain management (SSCM) practices on sustainable performance (SP) (economic, environmental and social). This analysis will help companies to choose between GSCM and SSCM practices according to their needs. This study has provided a classification of the 16 supply chain (SC) practices influences on the three performances. Another categorisation of GSCM and SSCM practices among 16 SC practices was established based on literature articles. Finally, a comparison was made between the effects of GSCM and SSCM practices on each sustainable performance. The results found a positive relationship between SSCM practices and the three dimensions performance: economic (50%), environmental (34%), and social performance (33%). Moreover, the GSCM practices have a significant impact on the environmental performance (58%) and economic performance (29%), but no influence on social performance was discovered.
  Keywords: green; sustainable; supply chain management; SCM; supply chain; SC; GSCM; SSCM; practices;.
  DOI: 10.1504/IJLSM.2021.10041967
   
  
• Maintenance Excellence and CMMS Criteria Choice in The Context of Small Hospital and Health Care Organizations  
  by Said Echchakoui, Jean-Philippe Dion, Noureddine Barka, Sasan Sattarpanah Karganroudi 
  Abstract: As medical equipment has become more complex and expensive, the maintenance of this equipment requires special attention to improve outcomes and reduce costs notably in the small hospital and healthcare organisations (SHHOC). This research explores how SHHOC can improve maintenance management according to the maintenance employees’ views, and what characteristics of CMMS can help these organisations to reach maintenance excellence. Based on qualitative research method, specifically a multi-case study, the research is conducted on 43 of 68 maintenance employees of small material maintenance services in three regions in the Est of Quebec. This research is a very beneficial source of information both for maintenance managers and stakeholders in making decisions about the maintenance excellence program and selection of CMMS. To the best of the author’s knowledge, this paper is the first to address maintenance excellence and CMMS software selection criteria from the maintenance employees’ perspective in the SHHOC context.
  Keywords: maintenance excellence; small hospital and healthcare organisations; SHHOC; computerised maintenance management system; CMMS; maintenance employees; multi-case study.
  DOI: 10.1504/IJLSM.2021.10042106
   
  
• Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization  
  by Risto Heikkinen, Juha Sipilä, Vesa Ojalehto, Kaisa Miettinen 
  Abstract: We study data-driven decision support and formalise a path from data to decision making. We focus on lot sizing in inventory management with stochastic demand and propose an interactive multi-objective optimisation approach. We forecast demand with a Bayesian model, which is based on sales data. After identifying relevant objectives relying on the demand model, we formulate an optimisation problem to determine lot sizes for multiple future time periods. Our approach combines different interactive multi-objective optimisation methods for finding the best balance among the objectives. For that, a decision maker with substance knowledge directs the solution process with one’s preference information to find the most preferred solution with acceptable trade-offs. As a proof of concept, to demonstrate the benefits of the approach, we utilise real-world data from a production company and compare the optimised lot sizes to decisions made without support. With our approach, the decision maker obtained very satisfactory solutions.
  Keywords: inventory management; data driven optimisation; multicriteria optimisation; interactive methods; Bayesian models; demand forecasting; lot sizing; Pareto optimality; decision support.
  DOI: 10.1504/IJLSM.2021.10042370
   
  
• Analysis of Machine Learning integration into Supply Chain Management  
  by Elen Y. Aguirre Rodríguez, Elias C. Aguirre Rodríguez, Aneirson F. Da Silva, Paloma M. Rocha Rizol, Rafael De Carvalho Miranda, Fernando A. Silva Marins 
  Abstract: The application of machine learning (ML) techniques in supply chain (SC) processes has been gaining popularity over the last years, because ML significantly helps making the SC faster and more efficient, automatising its processes, improving decision making, and mitigating risks, among other benefits that results in cost savings or more profits. The goal of this work was to analyse the existing studies about the integration of ML into supply chain management (SCM), exploring gaps and trends, from a bibliometric analysis of the articles published. The analysis consisted of assessing the total number of published documents between 2000 and 2020. The main contribution of this research was the identification of significant details about the studies conducted involving the integration of ML and SCM, which will help in the development of new studies in this important area.
  Keywords: machine learning; supply chain management; SCM; classification; trends; gaps.
  DOI: 10.1504/IJLSM.2021.10042452
   
  
• An Optimization Model to Increase the Cross-Dockings Operational Utilization  
  by Vahid Ghomi, Farnaz Ghazi Nezami, Sina Shokoohyar, Mina Ghofrani Esfahani MBA 
  Abstract: Introducing a new version of a cross-docking assignment problem when forklifts carry bulk materials, we address an operational solution to reduce the impact of forklifts congestion in centre of terminals. We develop a mixed-integer bilinear programming model, a Tabu-search algorithm, where the main objective of the model is still to minimize the total transshipment costs, and additionally trying to minimize the weighted forklifts travelled distance (WTD) and the weighted unloading/loading labour costs at inbound and outbound doors (WLC). We hypothesize that longer WTD could shift the location of weighted forklift congestion concentration from the centre of the terminal toward the sides. We assuming four cost pattern’s distributions, all are supposed to lead high flows to doors with low labour costs, which ultimately impact the total WTD, WLC, and TTC. The proposed Tabu-search outperform CPLEX by finding a set of a diverse and high-quality solution within a reasonable computing time.
  Keywords: cross-docking assignment problem; CDAP; Tabu-search algorithm; optimisations.
  DOI: 10.1504/IJLSM.2021.10042903
   
  
• A Systematic Review of Motivators, Determinants and Parameters for the Adoption of Electric Freight Vehicle  
  by Sükrü Imre, Dilay Çelebi 
  Abstract: The objective of this article is to contribute to the understanding of factors playing a role in the wider adoption of EFVs in commercial fleets by exploring motivational factors leading to fleet managers adopting EFVs. This exploration is based on a review and analysis of the electric vehicles literature, particularly related to commercial fleets and freight transport. Our study differs from the previous studies by providing a more comprehensive literature review and by identifying the factors impacting systems of EFVs over a two-dimensional framework, including financial, operational and behavioural issues. The highlights of the study are provides a comprehensive literature review about the diffusion of electric freight vehicles in commercial fleets, suggests a two-dimensional framework for identifying the factors in adoption of electric freight vehicles in commercial fleets, and gives a summary of factors which is corresponding to the adoption of electric freight vehicles.
  Keywords: electric vehicles; freight transportation; literature review; electric vehicle adoption.
  DOI: 10.1504/IJLSM.2021.10043347
   
  
• Customers Loyalty to the Retail Pharmacy: Present and Future of the Portuguese Market  
  by Leandro Ferreira Pereira, Letícia Quental, Renato Lopes Da Costa, Álvaro Dias, Rui Gonçalves 
  Abstract: Pharmacies should retain their customers to ensure their sustainability. The most relevant factors for this are store experience, technological evolution, digital presence, portfolio of services and quality of counselling. The analysis of the methodology was carried out by the
  Keywords: pharmacy; customer; engagement; communication; proximity; loyalty.
  DOI: 10.1504/IJLSM.2021.10043555
   
  
• GSCM Barriers to Sustainable Development in Indian Manufacturing Organizations: A Mixed-Method Approach  
  by Deepak Kumar Pathak, AJAY VERMA, Vimal Kumar 
  Abstract: The objective of this study is to identify the major roadblocks to green supply chain management (GSCM) techniques in order to achieve India’s industrial sectors’ long-term development goals. MICMAC analysis and an interpretive structural modelling (ISM)-based methodology were utilised to categorise the reciprocal interaction of these identified barriers into four groups. Fifteen significant hurdles have been identified based on previous research and expert comments from industry professionals in order to achieve sustainable development goals in GSCM processes. The findings of this study reveal that, of the fifteen barriers identified, the absence of government support systems (AGSS) is the most dependent and influential barrier, while the lack of innovative green practices is the least important barrier. This research also aids in establishing a key foundation for developing a greener manufacturing platform. The findings of the study will aid practitioners, policymakers, and managers in making informed decisions about how to improve the long-term sustainability of Indian manufacturing sectors using GSCM techniques. These GSCM barriers will be implemented with an emphasis on GSCM techniques for a better knowledge of how to prevent significant bottlenecks in today’s manufacturing sectors. The uniqueness of this study stems from the necessity of GSCM since most manufacturing companies set up their facilities to be sensitive to economic, social, and environmental changes in order to improve organisational performance.
  Keywords: green supply chain management; GSCM; MICMAC; analysis; driver dependence power analysis; interpretive structural modelling; Indian manufacturing industry.
  DOI: 10.1504/IJLSM.2021.10043653
   
  
• Sustainable Urban Planning using Green Logistics and Effective Garbage Disposal  
  by Kiruthiga S, Bharat Kumar Sridharan, Balaji K. S, Karthick K, Narassima MS, S.P. Anbuudayasankar 
  Abstract: Green logistics relates the social, economic, and environmental aspects that form a significant part of the sustainable development model. Considering the aforementioned aspects, the present study examines the use of electric commercial vehicles as part of the
  Keywords: green logistics; sustainable cities; green vehicle routing problem; G-VRP; electric commercial vehicles; ECVs.
  DOI: 10.1504/IJLSM.2021.10043654
   
  
• Ant colony algorithm for heterogonous green vehicle routing problem with split delivery  
  by Ilkan Sarigol 
  Abstract: Logistic activities in urban areas are one of the leading reasons for greenhouse gas emissions. A mixed?integer linear programming model is proposed for heterogeneous green vehicle routing problem with split deliveries and time windows by considering different vehicle speeds and types. Random problems are generated and solved with the ant colony optimisation algorithm and compared with the CPLEX solver to validate the algorithm. Finally, a case problem is studied to determine managerial insights. The results suggest that vehicle capacity and type impose GHG emissions. If vehicle type is kept the same, emission released to the environment will decline with increasing vehicle capacity. Higher capacity vehicles generate less GHG emissions in scenarios with increasing demand and traffic intensity. However, small-capacity vehicles perform better in strict time windows. Finally, a reduction in emission with heterogeneous fleets is limited. Homogeneous fleets perform better and generate less emission in most of the scenarios.
  Keywords: green vehicle routing; heterogeneous fleet; split delivery; vehicle speed; time windows; ant colony algorithm.
  DOI: 10.1504/IJLSM.2021.10043958
   
  
• Design of Flexible Truck Appointment System based on Machine Learning approach  
  by Maurício Randolfo Flores Da Silva, Enzo Morosini Frazzon, Vanina Durski 
  Abstract: Smart ports are adopting Industry 4.0 concepts and technologies so that more efficient and resilient operations emerge. Real-time data acquired from smart technologies can be deployed to anticipate disruptions and to actively manage hinterland
  Keywords: smart ports; smart logistics system; truck appointment system; TAS; flexible schedule; machine learning.
  DOI: 10.1504/IJLSM.2021.10043983
   
  
• Logistics Performance Index: Internal Influential Approach  
  by Saleh Fahed Alkhatib  
  Abstract: This study aims to analyse the influencing factors of logistics performance index (LPI) based on the system theory approach, to further enhancing the superb uses of this index to support economic growth and competitiveness. This study constructs the LPI influencing factors system, and then analyse the comprehensive influence degree, causal relationships, and establish the first LPI influential relationships map using the fuzzy DEMATEL method. This new perspective helps to understand the LPI influencing impact relationships and how each factor affects and affected by the logistics system. International shipment and logistics service quality are the most important factors; infrastructure, logistics service quality, and customs are causal factors. Tracking and tracing, timeliness, and international shipment are effect factors. A new weighting system have been developed and compared with the normal LPI and other studies ranking approaches. New acumens for academia, business, and policy maker have been highlighted.
  Keywords: logistics performance index; LPI; fuzzy DEMATEL; logistics factors influential map; logistics and transport policy.
  DOI: 10.1504/IJLSM.2021.10044015
   
  
• Application of Grey Number to solve Multi-Stage Supply Chain Networking Model  
  by Abhijit Baidya 
  Abstract: The grey number is an indeterminate number that takes the value within an interval under probability. In this paper, taking multiple time periods, multi-stage solid transportation problem (MSSTP) are formulated and solved under crisp and grey environment. The deterministic forms of the grey constraints of the grey model are so obtained taking six different situations of grey inequality. The interval objective function renewed into two different objective functions and these multi-objectives converted into a single-objective using mean-width technique. The models are illustrated with numerical examples and solved using the LINGO.13.0 optimisation solver.
  Keywords: time-varying network; multi-stage transportation; solid transportation problem; STP; grey number.
  DOI: 10.1504/IJLSM.2021.10044249
   
  
• Identifying and Modeling Focus and control drivers for Transporter’s Performance in Downstream logistics of the Indian Oil Sector  
  by Raj Singh Malik, Manoj Kumar Srivastava, Shailendra Kumar Rai, Imlak Shaikh 
  Abstract: The objective of this research is to develop an integrated model by identifying and classifying the focus and control drivers for transporters’ performance in oil industry in India and establish their contextual relationships using interpretive structural modelling (ISM) and MICMAC analysis. Sequential mix method design is used for the study. The expanding petroleum sector and increased completion in Indian markets, has motivated the oil companies to bring in effectiveness in performance to reduce costs to improve their bottom-line. Down-stream logistics cost, that is cost of delivery of product from Terminals/ depots to the retail network and bulk customers, is in focus and exemplary performing transportation system shall ensure the same. The model designed, shall enable the Oil industry management to move from Performance measurement to performance management with clear directions for interventions for exemplary transporters performance as the linkages between the focus and control drivers of transporters performance will help managers to know what is to be focused and how to control and the academicians shall understand the complexity of transporters performance in oil industry in India and instigate them for further research.
  Keywords: transportation; interpretive structural modelling; ISM; performance management; focus drivers; control drivers.
  DOI: 10.1504/IJLSM.2021.10044250
   
  
• Supply chain disruption for crude oil due to the effect of Covid-19 pandemic: Evidence from Vietnam  
  by Ngoc Vu-Thi-Minh, Bui-Duy Linh, Luan Thanh Le, Giang Hoang-Huong, Son Ta-Anh 
  Abstract: The operation of the crude oil supply chain under the influence of the pandemic has not been extensively examined, despite its importance as a strategic commodity. Based on a powerful simulation model using real-time data parameters, this study investigates the effects of a worldwide pandemic on the crude oil supply chain. The study indicates a downturn in performance and a disruption in the supply chain, as revealed by the outcome of key performance indicators (KPIs). Green field analysis (GFA) experiments are furtherly implemented for different scenarios to investigate the variation of KPIs. As a result, we propose contingency rerouting as a potentially proactive solution that can support crude oil businesses in the resilience process during the pandemic.
  Keywords: supply chain disruption; COVID-19 pandemic; simulation models; greenfield analysis; key performance indicator; financial KPI; customer KPI; crude oil; Vietnam; contingency rerouting.
  DOI: 10.1504/IJLSM.2021.10044296
   
  
• Exact approach for the Aggregate Production Plan Problem of Machine-Dependent Production Systems by considering stochastic parameters  
  by Juan Camilo Paz, John Wilmer Escobar, Rafael Guillermo García-Cáceres 
  Abstract: This paper considers the variability of specific parameters in the aggregate production plan (APP) problem for machine-dependent production systems. The core issue emerges when assessing the APP’s configuration by considering such decisions as to the staff size, overtime and subcontracting, and inventory accumulation while reducing the overall production costs. We developed a deterministic mathematical model (MILAPP) and a stochastic mathematical model (SMILAPP) with the minimisation cost as the objective function. The stochastic model’s decisions are performed in one stage, considering a penalised objective function for unsatisfied and surplus demand due to demand variation. The stochastic model’s solution strategy is referred to as the sample average approximation (SAA). The effectiveness of the proposed approach is tested in the case of a Colombian multinational corporation. The results show that the proposed approach, which considers the predicted contribution of products and the uncertainty of many parameters, is a strong reference for decision support of APP problems.
  Keywords: aggregate production planning; APP; production systems; variability of parameters; sample average approximation; SAA; stochastic linear programming.
  DOI: 10.1504/IJLSM.2021.10044419
   
  
• Dynamic planning design of three level distribution network with horizontal and vertical exchange  
  by Abdennour Ilyas Benfriha, Lamia Triqui-Sari, Aimade Eddine Bougloula, Mohammed BENNEKROUF 
  Abstract: Inventory management in distribution networks remains a challenging task due to the demand nature and the limited storage capacity. In this work, we study a three-level, a multi-product and a multi-period distribution network consisting of a central warehouse, three distribution centres and six wholesalers. Each of them faces a random demand. In order to optimise the inventory management in the distribution network, we first propose to make a horizontal cooperation between actors of the same level in the form of product exchange; then we propose a second approach based on vertical-horizontal cooperation. Both approaches are modelled as a MIP model and solved using the CPLEX solver. The objective of this study is to analyse the performance in terms of costs, quantities in stock and customer satisfaction.
  Keywords: inventory management; distribution network; supply chain; product exchange; cooperation.
  DOI: 10.1504/IJLSM.2021.10044470
   
  
• Comparison of Metaheuristic Approaches for Parcel Delivery Problem  
  by Shamine Moganathan, Siti Noor Asyikin Razali, Nabeel Almaalei, Kavikumar Jacob 
  Abstract: Ever since the coronavirus disease-2019 (COVID-19) outbreak, people plump for e-shopping, and it causes the delivery company to receive bulks to be delivered to customers. The complication arises when the delivery man needs to transport parcels to a vast number of houses in a trip. Due to this, they seek the shortest path in the trip to minimise the delivery cost and also the time. Hence, this study aims to scrutinise the shortest path, including runtime because the delivery problem has been categorised as an NP-hard problem. Thus, we proposed two metaheuristic techniques to be compared in this study which are ant-colony optimisation (ACO) and genetic algorithm (GA). In a nutshell, the results show that the GA technique performs better than the ACO technique in terms of distance, price, and runtime for moderate data size, which is less than 50 locations, as there were some enhancements on the methods used.
  Keywords: ant-colony optimisation; ACO; genetic algorithm; delivery problem; comparison; cost; runtime.
  DOI: 10.1504/IJLSM.2021.10044479
   
  
• Evaluation of Green Suppliers in Garment Industry in Jordan Using Multi-Criteria Decision Making Methods in Fuzzy Environment  
  by Khalid Alzoubi, Esraa Abdel All, Bahaa Al-Migdady 
  Abstract: This study utilises a comprehensive fuzzy multi-criteria decision making (FMCDM) approach to evaluate and select green suppliers considering environmental criteria. In this work, two approaches were used to calculate the weights of environmental criteria used in the evaluation of suppliers; fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). Seven green criteria and three alternative suppliers were considered in this study. The two methods have revealed that supplier 2 was the most favourable supplier with the highest weighted score. The sensitivity analysis has shown that both FAHP and FTOPSIS produce robust results. However, FTOPSIS method has proven lower variability with fewer computational steps.
  Keywords: fuzzy analytic hierarchy process; FAHP; FTOPSIS; green supply chain; supplier selection; multi-criteria decision making; MCDM; supply chain management.
  DOI: 10.1504/IJLSM.2021.10044480
   
  
• The COVID-19 pandemic impact on supply chains: A systematic literature review  
  by Ilias Vlachos 
  Abstract: This study conducts a comprehensive literature review of 259 studies investigating the pandemic impact on supply chain across the globe. This study provides a thematic analysis of the pandemic impact at: 1) countries; 2) sectors (manufacturing, services, maritime); 3) product supply chains (food, pharmaceutical); 4) sustainability (social, environmental). It further uncovers four areas of interest: 1) increased awareness of supply chain vulnerabilities; 2) lack of appropriate supply chain designs; 3) the potential benefits from the right usage of technology; 4) a supply chain paradigm shift on how consumers, companies, and governments perceive supply chains. The study discusses the managerial implications of the pandemic impact. Although there is literature reviews published in this topic to our knowledge, this is the first study that reviews comprehensively the relevant literature from different fields and disciplines.
  Keywords: supply chains; COVID-19; pandemic; impact; literature review.
  DOI: 10.1504/IJLSM.2021.10044481
   
  
• Industry 4.0 and its Enablers and Barriers: A Systematic and Bibliometric Review of Literature  
  by Kanagi Kanapathy, Azmin Azliza Aziz, Arsalan Najami 
  Abstract: Industry 4.0 is highly debated and discussed among academicians and practitioners with respect to its nature, scope, and practicality. With a high involvement of digitisation and technology, the transformation of an organisation from conventional to Industry 4.0 is highly complex especially during current organisational operations. By the help of in-depth systematic and bibliometric analysis, this study highlights the significant contributions made by the authors, institutions and countries across 1,554 studies which further lead to the identification of the important phenomena and areas that can further expand the literature. In addition to this, the review also identified essential components, key enablers and barriers, whereas key enablers identified will complement the adoption. Since Industry 4.0 is still at the introduction stage, the barriers that may hinder the industrial transformation are accentuated; practitioners need to work on reducing these barriers, for the success and sustainability of Industry 4.0.
  Keywords: Industry 4.0; digitisation; components; enablers; barriers.
  DOI: 10.1504/IJLSM.2021.10044571
   
  
• Managing supply chain risks in emerging economies  
  by Luca Urciuoli, Thi Thu Hien Phan, Juha Hintsa 
  Abstract: This paper performs an exploratory case study with Vietnamese timber firms, to discover what supply chain risks are perceived by companies. Emerging economies like Vietnam enjoy important advantages like low labour and production costs, access to internal resources, favourable geographic position and trading schemes issued by the European Union. Yet, diverse supply chain risks may hinder further growth, including risks related to access to supplies, compliance management, infrastructure, obsolete production machinery, and lack of skilled workforce. Compared to previous research, this paper contextualises existing knowledge in supply chain risks and mitigation strategies in an emerging economy like Vietnam. From a practitioner viewpoint, decision makers can boost the timber sector through targeted investments in modern infrastructure and adapting timber plantations to existing quality standards.
  Keywords: supply chain risks; risk mitigation strategies; international trade; timber supply chain management; Vietnam supply chain risks; emerging economies supply chain; Vietnam.
  DOI: 10.1504/IJLSM.2021.10044572
   
  
• A Clustering Search approach for the Train Timetabling Problem  
  by Eggo Pinheiro, Enrico Miranda, FRANCISCO CLIMACO, Alexandre C. M. De Oliveira 
  Abstract: Freight railways are the major means of transportation of bulk material. Since for the last few years there has been a fast-growing demand and railway infrastructure capacity increasing is very expensive, the improvement of the train scheduling process is needed to ensure the quality of services. This work deals with the train timetabling problem (TTP) composed of mixed traffic railways both cargo and passenger trains sharing the same resources with different priorities. We propose a new formulation for the TTP, which considers the parallel multi-track context and overtaking in a planning horizon for ongoing and just planned trains. Besides, a novel application of an evolutionary clustering search (ECS) is presented to solve large TTP instances. Finally, we have built a new set of instances derived from real-world scenarios. The findings encourage the future development of ECS-based expert systems that can provide information to decision-making teams of mining companies.
  Keywords: genetic algorithm; evolutionary clustering search; ECS; metaheuristic; train timetabling problem; TTP.
  DOI: 10.1504/IJLSM.2021.10044573
   
  
• Performance Measurement of Cold Chain Exporting: Fresh Longan Exporting  
  by Narathip Titlo, Apichat Sopadang, Nilubon Chonsawat 
  Abstract: Thai fresh longan is a significant product from Northern Thailand, of which the biggest export is to China. Poor performance of cold chain exporting will lose the potential and quality of a perishable product. In this sense, this research aimed to develop the cold chain performance measurement for Thai fresh longan exporting and identify the critical performance factors. To achieve this research objective, the researchers developed the hierarchy of cold chain performance factors. Then, five experts in the fresh longan export supply chain are interviewed to identify the weight factors prioritisation using the fuzzy AHP technique. After that, this performance measurement was applied with two case studies exporters in Thailand. The result indicated that the most critical cold chain performance efficiency factors were quality and safety, cost, traceability, and reliability. It was concluded that this performance measurement was practical and could support decision-makers on export cold chain logistics performance.
  Keywords: cold chain; exporting; fuzzy analytic hierarchy process; logistics performance; north-south economic corridor; performance measurement; perishable products.
  DOI: 10.1504/IJLSM.2021.10044608
   
  
• Deep learning based a genetic algorithm for the robust hub allocation problem with discrete scenarios.  
  by Achraf BERRAJAA 
  Abstract: Over the last decade, big data have changed the work and research strategies of several areas, in particular the hub location problems (HLP). The HLP have been extended to handle uncertain data, giving rise to robust HLPs. In a RHLP with discrete scenarios, the unique set of requests is replaced by a set of discrete scenarios. In a robust optimisation approach, making appropriate decisions for all scenarios must be intelligent and optimal. The purpose of this study is to show that such problems can be solved in a reasonable computing time and with an intelligent solution, using a RNN based on GA to approximately solve the problem. The proposed RNN has been trained on a big dataset of 20,000 instances. The performances of the proposed RNN are very interesting such that the success rate is 91% and able to resolve large instances while the traditional approaches are fail to resolve them.
  Keywords: robust HLP; discrete scenarios; deep learning; recurrent neural network; RNN; genetic algorithm.
  DOI: 10.1504/IJLSM.2021.10044719
   
  
• New Fuzzy Subtractive Clustering Approach: An Application of Order Allocation in E-Supply Chain System  
  by Nhu Nguyen Vu Quynh, Hop Nguyen 
  Abstract: This study proposes a so-called new fuzzy subtractive clustering (NFSC) algorithm to allocate orders to the appropriate hub with three criteria, namely, traveling distance, delivery time, order quantity. The main contribution of this paper is that the proposed clustering method improves the previous subtractive clustering algorithm by using mean squared error (MSE) instead of the ratio for accepting or rejecting cluster centres. Besides, the cluster radius is adapted automatically to get the minimum MSE with the fixed cluster centres in advance. A case study of a multinational company in Vietnam is investigated to compare the proposed algorithm with K-means clustering. The obtained results are very promising to give distinction clusters of delivery points.
  Keywords: order allocation; K-means clustering; subtractive clustering.
  DOI: 10.1504/IJLSM.2021.10044725
   
  
• Risk Factors Related to Vegetable Wholesalers’ Opportunistic Behaviours Influencing Relationship Termination amongst Business Partners in Vegetable Supply Chain  
  by Sirion Son-ong, Bhuk Kiranantawat, Santi Ditsathaporncharoen, Mohd Rizaimy Shaharudin, Anchalee Hiranphaet 
  Abstract: This study aims to analyse the risk factors related to vegetable wholesalers’ opportunistic behaviours influencing relationship termination amongst business partners in a leafy vegetable supply chain. Three key variables were explored, which were the opportunistic behaviours, impact of opportunistic behaviours, and relationship termination. The quantitative research method was employed. The sample was selected from vegetable farmers of the top five most cultivated leafy vegetables in the Nakhon Pathom and Ratchaburi provinces, Thailand which was 146 vegetable farmers. A questionnaire survey was conducted for data collection. The data analysis was performed using descriptive and inferential statistics. The results indicated that the opportunistic behaviours of vegetable wholesalers directly and indirectly influence the relationship termination of business partners. In addition, opportunistic behaviours of vegetable wholesalers directly influence the impact of opportunistic behaviours of vegetable wholesalers and the impact of the opportunistic behaviours of vegetable wholesalers directly affects the relationship termination of business partners.
  Keywords: structural equation modelling; SEM; risk factor; leafy vegetable; buyer opportunistic behaviours; supply chain management; relationship termination; vegetable wholesaler.
  DOI: 10.1504/IJLSM.2021.10044760
   
  
• IS LOGISTICS SERVICE QUALITY A PATHWAY TO CUSTOMER LOYALTY IN THE INTERNATIONAL FREIGHT FORWARDING INDUSTRY?  
  by G. YOGANANDAN, M. Vasan 
  Abstract: This study aims to examine the quality of services rendered by freight forwarders. The respondents of this study comprised 220 regular business to business (B2B) customers of freight forwarders in Chennai. The service quality measurement instrument developed by Parasuraman et al. (1988) was suitably modified and used in this study. The study proved that the dimensions such as tangibles and responsiveness highly influenced the perceived service quality (PeSQ). Also, an attempt was made to find out the inter-relation among the dimensions of PeSQ by using bivariate correlation. It was found that there existed a significant interlink between PeSQ, customer satisfaction (CSAT) and customer loyalty (CL). It indicated that the COVID-19 pandemic scenario and subsequent lockdowns did not affect the service rendered by the freight forwarders. Based on key study findings, we recommend the allocation of more funds for the improvement of logistics infrastructure to deliver enhanced quality services.
  Keywords: Customer Satisfaction; Freight Forwarders; Logistics Services; Loyalty; Shipping Agent; Perceived Service Quality; PeSQ; Service Quality.
  DOI: 10.1504/IJLSM.2021.10044951
   
  
• A review and classification of ambulance deployment and redeployment models in emergencies  
  by Youness FRICHI, Fouad Jawab 
  Abstract: This paper is a literature review of ambulance deployment and redeployment modelling approaches in emergency medical services (EMS): mathematical programming, queuing theory, and simulation. The three approaches are presented and compared, highlighting their applications, advantages, and limitations. Mathematical programming has undergone considerable evolution over the years in a continuous effort to propose models considering stochastic aspects of the environment. Therefore, this paper pays special attention to mathematical models and their solution methods. Queueing and simulation models are descriptive and allow the evaluation of the system performance. Recent trends in modelling tend to combine several approaches, sequentially or iteratively, to take advantage of the benefits of each approach.
  Keywords: emergency medical service; ambulances; deployment; redeployment; modelling; location models; mathematical programming; queuing theory; simulation.
  DOI: 10.1504/IJLSM.2022.10045194
   
  
• Responsive Production Planning and Replenishment Consolidation Scheduling for a Two-Echelon Supply Chain  
  by Sepideh Alavi, Matthew Petering, Anthony Ross 
  Abstract: This paper introduces a new mathematical model for production planning and replenishment scheduling in a two-echelon supply chain. The problem addresses production and replenishment coordination, and shipment consolidation decisions in a supply chain that consists of a manufacturer who provides inventory replenishments to multiple distribution centres (DCs). The consolidation activities in this problem are not restricted to specific policies such as aggregation of shipments at regular times or consolidating when a predetermined quantity has accumulated. Rather, we consider the construction of a detailed shipment consolidation schedule over a planning horizon. The problem sheds light on the trade-off between transportation costs, manufacturer inventory holding costs, DC inventory holding costs, and DC backorder costs. We develop a mixed-integer quadratic optimisation model to identify the shipment consolidation schedule that minimises total cost. A genetic algorithm is developed to handle large problem instances. Experimental results show the effectiveness of the proposed solution methods.
  Keywords: inventory; shipment consolidation; coordinated inventory replenishment; inventory control; supply chain management; consolidation schedule; production.
  DOI: 10.1504/IJLSM.2022.10045297
   
  
• Assessment of Multidimensional Drivers of Blockchain Technology (BoT) in Sustainable Supply Chain Management (SSCM) of Indian Cement Industry: A Novel PLS-SEM Approach  
  by Gaurav Kumar Singh, Manish Dadhich 
  Abstract: This research investigates the multidimensional drivers of blockchain technology in sustainable supply chain management (SSCM). A sample of 185 industrial suppliers was taken. The information is gathered through a structured questionnaire based on a five-point Likert range and convenience sampling. Six constructs with 31 items are discovered, hypotheses are evaluated using factor analysis, and the model fit is achieved through structural equation modelling (SEM). It is evident that supply chain transparency, flexibility, SCM operation, sustainable haulage, competitiveness, and relative advantage are the positive and major constructs for blockchain technology utilisation (BTU). Thus, modern blockchain technology will positively impact the supply chain of the cement industry since it offers anonymity, security, scalability, and immutability. As a result, blockchain models should be implemented throughout the supply chain, which would benefit all stakeholders. The results also reveal that implementing blockchain in SCM netted novel insights that significantly benefited users, policymakers, and stakeholders.
  Keywords: lockchain technology; BoT; PLS-SEM; supply chain flexibility; sustainable haulage; supply chain management; SCM.
  DOI: 10.1504/IJLSM.2022.10045308
   
  
• CONCEPTUAL FRAMEWORK TO MODEL AND ANALYSE THE DISTRIBUTION STRUCTURE DECISIONS IN LOGISTICS  
  by Rajiv Kumar Sharma 
  Abstract: The purpose of this research paper is to present a conceptual framework to model and analyse the structural relationship among various dimensions which affect distribution structure decisions in logistics. Based upon the critical scrutiny of literature studies eight dimensions associated with the selection of distribution structure decisions in logistics are identified. These dimensions are validated through questionnaire survey followed by the hypothesis testing using non-parametric statistical tests. The dimensions are used to build the structural relationship model using interpretive structure modelling. From the ISM model it is observed that demand level, service level, logistics cost, and business strategy are placed at the topmost level in the ISM model followed by product characteristics and labour and land availability at middle level and location accessibility, and organisational factors at bottom level of the model. MICMAC analysis depicts the driving and dependence power among the dimensions. Further, based upon fuzzy logic approach the effect of dependent dimensions on the selection of distribution structure is analysed. It is evident from the simulation experiments that the proposed model successfully narrows down the intricacies involved in distribution structure selection.
  Keywords: logistics; distribution networks selection; structural model; supply chain management.
  DOI: 10.1504/IJLSM.2022.10045563
   
  
• Optimization of Logistics operations in Healthcare Systems using Predictive Data Analytics  
  by Divya Agarwal, Aditi Sharma 
  Abstract: Healthcare organisations from worldwide are under continuous pressure to provide the best treatment to the patients yet keeping in mind the cost of treatment. Predictive analysis is an approach towards the efficient management of logistics where algorithms are performed on the data collected from electronic health records, wearable medical devices or from any trusted sources. Later, optimisation can be done by analysing the result. This would result in positive patient outcomes and ensure the smooth functioning of healthcare systems worldwide without putting the extra pressure on them. Importance of predictive data analytics in healthcare and various ways to optimise patient’s outcomes are discussed in this paper.
  Keywords: predictive data analytics; logistics; healthcare systems; supply chain; operations management; algorithms; optimisation; patient stay; hospital resources; analysis.
  DOI: 10.1504/IJLSM.2022.10045672
   
  
• Modelling of Energy Conservation and Carbon Reduction Indicators for the Hotel Industry  
  by Manpreet Singh, Vinod Yadav, Milind Kumar Sharma 
  Abstract: Recently, environmental issues in the hospitality sector have gained more attention. This study identifies and selects the most relevant energy conservation and carbon reduction (ECCR) indicators for the hospitality industry. The ECCR indicators’ interrelationships and priorities assess using an integrated interpretive structural modelling
  Keywords: hospitality sector; energy indicators; carbon reduction; environment management; ISM-ANP integrated approach; energy conservation and carbon reduction; ECCR.
  DOI: 10.1504/IJLSM.2022.10045746
   
  
• CRITICAL ASSESSMENT OF SUPPLY CHAIN RISK, VULNERABILITY AND UNCERTAINTIES IN INDIAN AGRICULTURE DURING PANDEMIC  
  by SELVAKUMAR M 
  Abstract: The developing countries are highly dependent on agriculture and agriculture businesses whereas agricultural supply chain in all these countries is facing unpredicted risks due to COVID-19. The objective of this research is to identify the supply chain risk in agriculture business, problems in Agriculture supply chain business faced during COVID-19 and to explore the drivers of supply chain sustainability that tackles the supply chain disruptions in India. Based on the purposive sampling method, this paper describes the various factors and risks involved in agriculture supply chain business and the data obtained various districts of Tamil Nadu in India. The results have shown that supply chain risk is measured by six constructors: monetary risk, lack of infrastructure, demand and supply, quality control, climate and food safety risks. During the COVID-19 access to credit facilities is low and to build in sustainable procurement strategies for supply chain sustainability.
  Keywords: agriculture business; sustainability; supply chain risks; factor analysis; COVID-19; sustainable procurement.
  DOI: 10.1504/IJLSM.2022.10045815
   
  
• Identifying The Drivers And Barriers For The Implementation Of Sustainable Manufacturing  
  by Naveen Daniel, Rahul Sindhwani, Ravinder Kumar, K. Mathiyazhagan 
  Abstract: Manufacturing units have contributed for the economic growth and development of the country in a significant amount. The success of any organisation depends on its efficient manufacturing performance. As most of the manufacturing units use non-renewable resources of energy which generate large amount of wastes during the processes leading to various types of pollution, it has become essential that the sustainable manufacturing practices are adopted by these units. The present study aims to identify various drivers and barriers for implementation of sustainable manufacturing practices in the manufacturing units across the globe. For this a systematic literature review is carried out where the scholarly work done by the researchers on sustainable manufacturing was analysed, synthesised and critically evaluated. Based on the analysis, the authors have put forward the propositions for drivers and barriers of sustainable manufacturing.
  Keywords: sustainable manufacturing; drivers; barriers; green manufacturing.
  DOI: 10.1504/IJLSM.2022.10045956
   
  
• Analysis of Sustainable Performance Indicators in Dairy Supply Chain using Fuzzy -DEMATEL  
  by Mukesh Kumar, Vikas Kumar Choubey 
  Abstract: Sustainability has been always a major issue in businesses over the years, as it integrates the triple bottom line goals of the environment, social, and economic aspects. Dairy is an important sector in many nations since it generates a large number of jobs and economic activity. This article identifies key sustainable performance indicators (SPIs) that may be used as a decision-making variable in the assessment of dairy supply chain performance. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) approaches has been utilised to analyse the SPIs. The total supply chain cost is the most significant SPI, with a weightage of 6.32% which is influenced by all indicators. Profit sharing and stakeholder relationship management are regarded as the least significant SPIs, with a weight of 4.28%. The findings might be used to further understand the SPIs along with sustainability measurement.
  Keywords: sustainable dairy supply chain; sustainable performance indicators; SPIs; decision-making trial; evaluation laboratory; DEMATEL.
  DOI: 10.1504/IJLSM.2022.10046116
   
  
• The C-Suite of Supplier Collaboration: A Configurational Analysis of the Hows and Whys  
  by Hakim Lyngstadaas, Terje Berg 
  Abstract: This study empirically investigates how supplier collaboration (SC) can be configured for developing competitive capability. The configurational solutions are classified according to Lejeune and Yakova’s (2005) typology of supply chain management and value creation as explanatory channel mechanism. This makes it possible to explain why competitive capabilities are effective. A survey with 159 respondents from the Norwegian manufacturing sector is analysed by using a fuzzy set qualitative comparative analysis. The survey was conducted in 2018. Three types in Lejeune and Yakova’s (2005) typology are verified through competitive capability based on product quality, while all four types are verified in competitive capability based on low cost. However, there are several equally effective ways of configuring different types to achieve competitive capabilities. The results may be ascribed and theorised according to different value creation channels.
  Keywords: supply chain management; supplier collaboration; performance; configurational analysis; fuzzy set qualitative comparative analysis; fsQCA; factorial analysis.
  DOI: 10.1504/IJLSM.2022.10046580
   
  
• The Effects of COVID-19 Pandemic on the E-shopping Logistics in Jordan  
  by Mohammed Obeidat, Oraib Alshraiedeh, Dua' Al-Quran, Hala Alsliti 
  Abstract: Since its inception, e-shopping has grown rapidly around the world. People’s attitudes about e-shopping have shifted with the COVID-19 pandemic and as a result of the quarantine imposed in countries. This paper explores the relationship between the COVID-19 and the resurgence of e-commerce in Jordan. The data were statistically examined and based on the analytical hierarchy process. According to the findings, the most important factors prior COVID-19 pandemic was age and bad e-shopping experience. During the pandemic, however, bad experiences in e-shopping remained significant, and people’s belief in virus transmission with orders and logistics variable was borderline significant. Furthermore, gender was the main significant factor contributing to the change in the consumer’s shopping behaviour during the pandemic. Precisely, females were significantly different than males regarding the change in consumers’ shopping behaviour due to the COVID-19 pandemic. Moreover, throughout the pandemic, consumers’ preferences were mainly food and grocery products, with a focus on fast delivery. This was not the situation before the pandemic when their primary focus was on high-end products.
  Keywords: e-shopping; COVID-19; decision-making; category data analysis; Jordan.
  DOI: 10.1504/IJLSM.2022.10046583
   
  
• Collaborative Purchasing Framework for Medical Product Procurement in Thai Hospitals  
  by Bundid Kungwannarongkun, Jirapan Liangrokapart 
  Abstract: An increase in business competition and the cutting price has occurred in every industry globally. Organisations have shifted their awareness to the efficiency of their procurement processes and the significance of collaboration with other organisations to save costs. Hospitals also require an efficient procurement process and cultivate partnerships with their stakeholders to secure and control hospital expenses. We conducted exploratory research investigating factors for developing a collaborative purchasing framework for medical product procurement in Thai hospitals. The key messages were extracted from stakeholders who had direct and indirect experience in medical product procurement through in-depth interviews. The triangulation method was applied in this study to assure the research validity. Eight factors including government intervention, ethical components, corporate governance, expertise, corporate strategy, information technology infrastructure, educational environment, and general agreement between suppliers and purchasers are identified as the essential factors for the collaborative purchasing framework in this study.
  Keywords: collaborative purchasing; medical product procurement; hospital; exploratory research; triangulation.
  DOI: 10.1504/IJLSM.2022.10046588
   
  
• The Reliability of Green Supply Chain Management Practices in the Printing Industry based on the PSI and IPA Approaches  
  by Mohammed Obeidat, Muna K. Beliah 
  Abstract: This paper aims to determine the most reliable green supply chain management (GSCM) practices, which could positively affect the environmental performance (EP), and the operational performance (OP) of organisations. The most reliable practice is that of higher level in both its importance and applicability. Seven GSCM practices are evaluated by integrating the preference selection index (PSI) multi criteria decision-making with the importance-performance analysis (IPA) approaches. These GSCM practices were the internal environmental management (IEM), cooperation with customers (CC), green procurement (GP), green manufacturing (GM), green warehousing (GW), green transportation (GT), and waste management (WM). A printing firm in Jordan was selected as a case study. The opinions of several experts were collected. Based on the results of both the PSI and the IPA approaches, the GW and GP GSCM practices were of high contribution to the improvement of the EP and OP in the printing industry.
  Keywords: green supply chain; environmental performance; operational performance; printing industry; preference selection index; PSI; importance-performance analysis; IPA.
  DOI: 10.1504/IJLSM.2022.10046597
   
  
• An Integrated Production & Distribution model for the supply of relief kits in Flood Relief Supply Chains  
  by ABYSON SCARIA, Brijesh Paul 
  Abstract: Relief supply chains should provide the relief supplies quickly and efficiently to maximise the survival rate, and hence, the integration of supply chain operations is extremely critical. In this work, we consider a single echelon relief supply chain for the supply of relief kits and model it as an integrated production and outbound distribution scheduling (IPODS) problem. The mixed integer programming model formulated is solved using a mathematical solver to obtain optimal solutions. For realistic sized problems, a heuristically initialised genetic algorithm (HIGA), using a nearest first greedy (NFG) heuristic is proposed. The data from the massive floods that occurred in 2018 in the State of Kerala, India is used to evaluate the model. The proposed new algorithm produces near optimal solutions for the test problems in relatively short computation times and is fast enough to be used interactively in a decision support system.
  Keywords: relief supply chain; integrated production and outbound distribution scheduling; IPODS; nearest first greedy; NFG heuristic; heuristically initialised genetic algorithm; HIGA; decision support system.
  DOI: 10.1504/IJLSM.2022.10046609
   
  
• Optimizing the process of storage and transport of grains and feeds  
  by Piotr Gorzelanczyk, Kinga Wawrzyniak 
  Abstract: The aim of the article is to propose solutions aimed at optimising the existing warehouse and transport processes in the production company. Therefore, it presents the problems faced by production companies in terms of the correct organisation of warehouse and transport processes. Theoretical aspects of warehouse management and transport were also described, the production company was characterised and the processes of storage and transport were analysed. Three optimisation solutions were proposed to be implemented in the analysed enterprise, which were the subject of the study. The main conclusion of the study is that the company needs changes to eliminate bottlenecks. Most of the respondents believe that the company needs additional loading and unloading stations.
  Keywords: warehousing; warehouse process; handling; optimisation of the storage process.
  DOI: 10.1504/IJLSM.2021.10046651
   
  
• Predicting the reverse flow of spare parts in a complex supply chain: contribution of hybrid machine learning methods in an industrial context  
  by Hamza E.L. GARRAB, David Lemoine, Bruno Castanier, Adnane Lazrak, Robert Heidsieck 
  Abstract: A key goal of after-sale services is to achieve customer satisfaction by providing a high-quality of service post-sale. In this context, repairable spare parts play a considerable role in balancing between service level and inventory value considering their relative cost compared to new buy parts. This article deals with forecasting the load of a repair centre in a closed-loop service parts supply chain. Since this supply chain is subject to variabilities and experts are modifying replenishment decisions, it is difficult to forecast this load and especially its peaks, this lack of visibility is creating difficulties to organise the repair centre. Thus, a methodology based on a hybrid machine learning method is proposed and then tested on real data from General Electric Healthcare. These tests showed a real improvement of the accuracy compared to simple machine learning methods or traditional forecasting methods.
  Keywords: forecast; hybrid machine learning; methodology; real data; spare parts; closed-loop supply chain.
  DOI: 10.1504/IJLSM.2021.10046661
   
  
• Impact of Supply Chain Management Tools on Customer Satisfaction: A Study on Readymade Garments Industry of Bangladesh  
  by Sunny Saha 
  Abstract: Bangladesh ready-made garments (RMG) industry is the leading source of foreign currency and also the second leading contributor to GDP in Bangladesh. The paper scrutinises the impact of supply chain management (SCM) tools (flexibility, delivery, quality and cost) on customer satisfaction (CS) concentrating on Bangladesh readymade garments industry. This topic was the focused factor for various scholarly studies. However, no paper tested the influence of SCM tools on CS basing on Bangladesh RMG industry. This study will concentrate on the stated research gap. In this paper, 170 customers of garments sectors were surveyed to collect primary data. For data analysis, I used SPSS and AMOS. From the analysis, I find that flexibility, delivery and Cost have direct impact on CS. I expect that the paper facilitates the concerned business persons who are related to garments business in effective and efficient decision making for the betterment of SCM tools implementation.
  Keywords: ready-made garments; RMG; supply chain management; SCM; Bangladesh; customer satisfaction; flexibility.
  DOI: 10.1504/IJLSM.2022.10047141
   
  
• Improvement of freight consolidation through a data mining based methodology  
  by Zineb Aboutalib, Bruno Agard 
  Abstract: Freight consolidation is a complex logistics practice supported by a broad spectrum of strategies and methods to improve supply chain cost-effectiveness. It consists of grouping products in a single batch to reduce distribution costs. Literature review revealed that operational research (OR) is typically used for freight consolidation, and their inputs are often aggregated over time. While necessary to accommodate computationally expensive OR algorithms, such data simplifications are responsible for losing valuable data patterns. Our contribution is a novel data mining methodology that uses association rules to leverage data patterns in the context of intermittent demand. Our approach is compared to a typical operational research approach from a literature case study. Simple to implement, our methodology gives good results and can flexibly accommodate and exploit data patterns while being able to scale to a much larger amount of data, making it a more suitable approach for the big data world.
  Keywords: transportation; association rules; cost reduction; data mining; freight consolidation; intermittent data; decision making; logistics; big data; pattern extraction.
  DOI: 10.1504/IJLSM.2022.10047155
   
  
• INDUSTRY 4.0 TECHNOLOGIES APPLIED TO SUPPLY CHAIN: A SYSTEMATIC LITERATURE REVIEW  
  by Bruno Da Costa Ferreira Gameiro, Eduardo G. Satolo 
  Abstract: The transformations and changes in society’s habits have resulted in advances that accelerate the speed of information, making the future unpredictable and hindering planning for companies. To support the flexibility and speed demanded by the market, technologies emerge in the context of industry 4.0 (I4) and consequently, in supply chain 4.0 (SC4). Considering the literature on SC4, gaps can be found as no current research exhibits the representativeness of each technology or that has listed the I4 technologies applied in the supply chain (SC). Therefore, the goal of this study is to map the state of the art of I4 technologies applied to SC, using as methodology a systematic literature review (SLR). As a result, this article elaborates on the state of the art of SC4, lists and discusses the technologies covered, shows which countries are studying this topic, and presents how these technologies are being applied to SC.
  Keywords: big data; CPS; IOT; smart factory; supply chain management; SCM; systematic literature review; SLR; technologies.
  DOI: 10.1504/IJLSM.2021.10047333
   
  
• Analysis of critical success factors in supply chain management based on different market scenarios: a systematic literature review  
  by César Perusso, Guilherme Bergmann Borges Vieira, Mateus Panizzon, Pietro Cunha Dolci, Gabriel Vidor 
  Abstract: This article presents a systematic literature review about critical success factors in supply chain management related to different market scenarios. For the selection of studies, the search terms were supply chain, scenarios, market scenarios, success factors, critical success factors and some combinations among these terms. We used Science Direct, Web of Science and Emerald databases. The selected articles were submitted to bibliometric and content analysis procedures. From the results of the review, we identified the success factors most mentioned in the supply chain management literature and defined the main market scenarios to which such supply chains may be related. The analysis of the relationship between critical success factors and market scenarios in supply chains proved to be an incipient theme, indicating a gap and a research opportunity to be explored.
  Keywords: supply chain management; critical success factors; CSF; market scenarios; systematic literature review; SLR.
  DOI: 10.1504/IJLSM.2022.10047626
   
  
• Innovation in ports - a systematic literature review  
  by Moema Pereira Nunes, Dusan Schreiber, Guilherme Bergmann B. Vieira, Alexandre Querino Da Rosa 
  Abstract: Over time, ports have ceased to be mere cargo handling agents to become key elements and transforming agents. The need for innovation has become fundamental. Given this relevance, port innovation was addressed in this study through a systematic literature review of articles indexed in Scopus database from 2000 to 2021. The application of the dined search terms resulted in 212 articles. We analysed the sample following the previously established inclusion and exclusion criteria. As result, we selected a sample of 86 articles. We conducted an in-depth analysis of the sample. The analysis indicated that most publications consider the port innovation in a broader way and the container port logistics chain as the main research subjects. However, other emerging port-innovation subjects were also found, such as environmental aspects, personnel development, and skills management.
  Keywords: port; innovation; port innovation; systematic literature review; innovation management; logistics innovation; container; container logistics; technology.
  DOI: 10.1504/IJLSM.2022.10047627
   
  
• PLANNING THE DISTRIBUTION OF EMPTY WAGON BATCHES FROM MARSHALLING YARDS TO MEET MINE LOADING DEMAND.  
  by Hendrigo Venes, Rodrigo Rosa, Leandro Resendo, Rodrigo Pestana Pirola 
  Abstract: The daily management of empty wagons is one of the key factors to improve the railway network performance and to manage the railway facilities. The aim of this paper is to propose a mathematical model of mixed integer linear programming to manage the distribution of empty wagons from marshalling yards to meet the demand in iron ore mines, reducing the breaking up of trains in the marshalling and origin yards and minimising the travel time. Using real data from EFVM, an important Brazilian railway, it was possible to obtain the optimum solution with CPLEX at very low execution times. The results showed that CPLEX was able to reduce 40.42% of the trains breaking ups when compared to the plan proposed by the EFVM planners.
  Keywords: railway operations; railway transportation; empty wagon distribution.
  DOI: 10.1504/IJLSM.2022.10047683
   
  
• AIR LOGISTICS IN THE DIGITAL ERA: A CONTENT ANALYSIS FOR CURRENT TRENDS AND FUTURE DIRECTIONS  
  by Volkan Yava?, Yesim Ozkan-Ozen 
  Abstract: Digitalisation through the new industrial revolution results in a great transformation in all stages of the supply chains, and air logistics industry under logistics need to embrace these changes to achieve smarter processes and higher efficiency. Current literature related to digitalisation in air logistics lacks in providing a holistic perspective in the field. From this perspective, this study reveals current approaches and future trends in digitalised air logistics by conducting a two-staged content analysis. First, using VOSViewer software, a visualisation is performed with co-occurrence network analysis through keywords in related studies in WOS and SCOPUS databases, respectively. Then, qualitative data analysis is carried out with MAXQDA and related studies were evaluated in detail. Because of the evaluation of all three analyses together, the keywords
  Keywords: air logistics; digitalisation; Industry 4.0; content analysis.
  DOI: 10.1504/IJLSM.2022.10047711
   
  
• Vendor Managed Inventory Model in a Supply Chain with Single Vendor and Multiple Retailers Considering Price and Shelf Space Aspects  
  by Mansureh Mohammadi, Mohammad Reza Gholamian 
  Abstract: Coordination decisions in the supply chain is challenging especially for manufacturers who are looking for a minimum cost and reaching to maximum profit. There are many policies for achieving coordination and integration in supply chain. Vendor managed inventory (VMI) is one of the most practical policies in this area. In VMI, retailers share their inventory data with a vendor and instead, vendor manages the retailers’ inventory level through the provided information. In this study, a new VMI model with price- and shelf space-dependent demand has been presented. Meanwhile, role of brand and promotional effects have been considered in this demand function. The general research method employed in the study, is based on mathematical modelling and numerical analysis. In this regard, a supply chain with one manufacturer and two retailers has been examined. Numerical results show the performance improvement of the supply chain, by means of revenue-sharing contract in VMI policy.
  Keywords: vendor managed inventory; VMI; shelf-space; brand image; advertising; revenue-sharing contract; Stackelberg game.
  DOI: 10.1504/IJLSM.2022.10047741
   
  
• International Journal of Logistics Systems and Management (2004-2020): An Analytical Retrospective  
  by Santosh Baheti 
  Abstract: International Journal of Logistics Systems and Management (IJLSM) is a journal of international repute that publishes original and peer-reviewed research in the business, management, accounting, and decision sciences domain. The journal reached its 18th year of publishing in 2021. This study provides a comprehensive overview of 962 publications using the bibliometric data analysis technique. The study focuses on the contribution of IJLSM to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Cooccurrence of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOS viewer software. The findings of the study emphasise the relationship of IJLSM to different fields. The analysis also provides key insights into the evolution of the domain over time.
  Keywords: bibliometrics; scopus; logistic management; VOS viewer.
  DOI: 10.1504/IJLSM.2021.10047742
   
  
• Current state of process automation in internal logistics - A Germany-wide expert survey  
  by Konstantin Mühlbauer, Sebastian Meissner, Stephanie Baeuml 
  Abstract: The ongoing digitalisation enables the use of new technologies for automation within material and information flow to make them more efficient and effective. For the future development and implementation of process automation technologies, it is important to evaluate the current state and identify obstacles as well as further potentials. The article presents the results of a Germany-wide survey of companies with regard to process automation in material flow and information processing within logistics systems. The results indicate that the material flow in the areas of storage and internal transport are already frequently automated. The generated data in these areas offers new potential for the implementation of further automation technologies in information processing for more efficient and higher-quality planning and control.
  Keywords: automation technology; artificial intelligence; expert survey; information processing; internal logistics; logistics systems; materials handling; process automation.
  DOI: 10.1504/IJLSM.2022.10047858
   
  
• Modelling of Truck Logistics Provider Based on Attitude of Truck Operators and Drivers: Mixed method approach  
  by Thanapong Champahom, Panuwat Wisutwattanasak, Rabil Ponphai, Sajjakaj Jomnonkwao, Amphol Karoonsoontawong, Vatanavongs Ratanavaraha 
  Abstract: Current transportation problems are challenging. Service qualities and policies of third-party logistics derive from the executives or the directors’ visions, from which all concepts originate without any driver’s participation. This study aims to build the transport indicators generated from visions of the operators consisting of controllers and drivers. This research uses mixed methods research including qualitative and quantitative analysis. For the qualitative analysis, the interviews were conducted by transport controllers. The questionnaires were used with truck drivers for quantitative analysis. Regarding the results from the quantitative method, this study illustrated that the components of operation consist of four factors including safety, revenue, transport, and policy. The results indicated that these factors are statistically significant. This study can be used as a guideline to provide improved policies for organisations within the public and private sectors that are involved in truck transportation.
  Keywords: mixed method; confirmatory factor analysis; CFA; exploratory factor analysis; EFA; truck agency.
  DOI: 10.1504/IJLSM.2022.10048022
   
  
• Distribution in the Large-Scale Retail Trade industry: requirements for Vehicle Routing Problems  
  by Sebastiano Di Luozzo, Michela Vincenzi, Massimiliano Maria Schiraldi 
  Abstract: The purpose of this paper is to outline and establish the characteristics and requirements of vehicle routing problem (VRP) in the large-scale retail trade (LSRT) industry. Characteristics and operational constraints of the VRP for the LSRT industry are described, after analysing some variants of the state-of-the-art models in the present literature. Successively, a comprehensive definition for this specific class of problems is provided, along with taxonomy and a new VRP formulation. The research reveals that state-of-the-art VRP models often fail to thoroughly describe real-world LSRT instances, leading to seldomly applicable models. For this reason, the paper provides guidance to design and apply a model for solving real-world transportation problems in the LSRT industry. Hence, our paper establishes requirements and criteria for obtaining a VRP applicable to real-world instances of the LSRT industry.
  Keywords: distribution; logistics; routing; nonlinear programming; retailing.
  DOI: 10.1504/IJLSM.2022.10048026
   
  
• Agri-fresh Food Supply Chain Quality (AFSCQ) and Organizational Sustainability (OS): An empirical investigation  
  by M.A.N. MOHAN SIDDH, Gunjan Soni, R.K. Jain, Milind Kumar Sharma, Vinod Yadav, OmJi Shukla, Pravendra Tyagi 
  Abstract: The purpose of this paper is to cultivate a base for agri-fresh food supply chain quality (AFSCQ) and organisational sustainability (OS) and to present a paradigm that incorporates the effect of AFSCQ practices on AFSCQ and OS. AFSCQ practices were defined from literature survey. These practices were grouped as: upstream side management (USM), logistics management (LM), downstream side management (DSM) and supporting practices like top management leadership (TML) and supply chain coordination using IT (SCCIT). The study promotes an innovative framework for AFSCQ and OS regarding the learning phase. The conceptual model was empirically tested with the help of structural equation modelling (SEM) approach and results provide support to consider the AFSCQ practices as a trustworthy mode for AFSCQ and OS.
  Keywords: sustainability; supply chain quality; food; review; framework; model; blockchain.
  DOI: 10.1504/IJLSM.2022.10048411
   
  
• PLANNING THE FUEL DISTRIBUTION IN URBAN CENTERS USING MULTI-COMPARTMENT TRUCKS UNDER RESTRICTIONS ON THE DELIVERY PERIOD AND THE MODEL OF THE TRUCK  
  by João H. B. Barbosa, Jéssica S. Lourenção, Rodrigo Rosa 
  Abstract: Distribution companies need to improve their distribution strategies to meet the increasing fuel stations demand, respecting restrictions on the delivery period and on the truck’s model, both defined by fuel stations and/or local authorities. Currently, these companies plan one trip per truck and divide the whole distribution region in several small regions, on the other hand, our paper proposes to plan several trips per truck and consider one global distribution region. We propose a mathematical model and an algorithm integrating in the fuel replenishment problem characteristics as: multi-compartment, multi-trip, site dependent, time windows and heterogeneous fleet. Tests were done using data from a Brazilian fuel distribution company. Results showed that planning considering a global distribution region brought financial gains for the company. The access constraint highly impacted the transport costs.
  Keywords: fuel replenishment problem; FRP; city logistics; urban logistics; vehicle routing problem; fuel distribution company; truck transport; management.
  DOI: 10.1504/IJLSM.2022.10048414
   
  
• A HYBRID APPROACH TO EXAMINE THE POTENTIAL OF ADDITIVE MANUFACTURING TO COPE WITH SUPPLY CHAIN DISRUPTIONS DURING COVID-19 PANDEMIC  
  by RAJAT LATT, Rajiv Kumar Sharma 
  Abstract: The COVID-19 pandemic has created lots of uncertainties, one of which is dealing with the ripple effect (supply chain disruptions) across multiple industries (like automotive, healthcare, aerospace, etc.). This work proposes a hybrid approach for identifying various enablers across three supply chain decision-making phases (strategic, tactical and operational) that aid in the organisation’s implementation of additive manufacturing. The work is divided into three phases: first, the variables are identified through a literature review; second, the questionnaire’s validity and reliability are checked; and third, the variables are prioritised using fuzzy entropy and fuzzy technique of order preference by similarity to ideal solution (TOPSIS) methods, which convert linguistic values (obtained via questionnaire survey) to crisp values for the research variable dimensions. The outcomes of this discussion assist managers in making more informed and effective decisions about how to implement additive manufacturing in their organisation in order to minimise supply chain disruptions.
  Keywords: additive manufacturing; supply chain disruptions; fuzzy entropy; fuzzy TOPSIS; strategic; tactical; operational.
  DOI: 10.1504/IJLSM.2022.10049126
   
  
• The Optimal location of the wireless charging infrastructure for electric vehicles with heterogeneous batteries in the highway  
  by Mohammed Bourzik, Ahmed E.L. HILALI ALAOUI 
  Abstract: Dynamic wireless charging makes it possible to charge electric vehicles without contact while in motion from the transmitters buried under the road (segments and inverters). Our contribution to this work is to study the problem of locating wireless charging infrastructure on a long highway road between origin O and destination S with heterogeneous battery vehicles. Each type of vehicle requires its allocation of segments in the road because of the heterogeneity of batteries, which increases the number of recharge transmitters on the highway; for this purpose, we search to ensure the trip of each type of vehicle without remaining out of load, by the minimum number of segments and inverters on the road. We propose to model the problem as a mathematical problem and validate it with a CPLEX optimiser for limited instances. In the last step of this work, we will solve the problem using a multi-agent metaheuristic.
  Keywords: mathematical programming; transportation problem; metaheuristic methods; electric vehicles; EVs; heterogeneous batteries; long road.
  DOI: 10.1504/IJLSM.2022.10049303
   
  
• Logistics Service Quality Satisfaction and Impacts on Financial Performance  
  by Assadej Vanichchinchai, Nonglak Limsomkiat 
  Abstract: The purposes of this research are to explore shipper satisfaction about logistics service quality (LSQ) of freight forwarders, to evaluate resource allocation efficiency for LSQ, and to explore the effects of LSQ on financial performance of shippers. A modified SERVQUAL with additional cost dimensions was used to collect data from 237 furniture exporters in Thailand. Descriptive statistics, gap analysis with paired sample t-test, importance-performance analysis (IPA), priority nonconformity index (PNCI) and multiple regression were utilized for data analysis. It was found that there was significant shipper dissatisfaction with overall LSQ, every dimension and indicator. Shippers were dissatisfied most and least about cost and tangibles, respectively. Although the IPA revealed no over performed or underperformed LSQ dimensions, PNCI further suggested transfer of resources from reliability and tangibles to improve cost and assurance. Reliability, tangibles, responsiveness and cost significantly increased sales. However, no LSQ dimension had a significant effect on shipper profitability.
  Keywords: service quality; logistics service quality; LSQ; SERVQUAL; logistics service provider; priority non-conformity index; PNCI; financial performance.
  DOI: 10.1504/IJLSM.2022.10049401
   
  
• Development and Application of a Cost-Driven Decision Model for Store Replenishment Logistics in the Fast-Food Sector  
  by Alejandro Vigo Camargo, Yavuz Bozer 
  Abstract: In this paper we address the store replenishment problem (SRP) in the fast-food sector, which is concerned with minimising the logistics costs associated with replenishing stores in a network over a fixed time horizon. We develop a cost function that captures transportation, labour, truck availability, and route-time overage costs and compare its performance against traditional, one-dimensional objectives, such as minimising only the travel distances or the fleet size. We formulate the SRP as a mixed-integer program and present a modified nearest-neighbour-based clustering heuristic to pre-generate a set of potential delivery routes. The model concurrently determines the fleet size, the delivery routes, and chooses between single-driver and team routes. Using real-world data from our industry collaborator we show that the proposed heuristic yields solutions with lower costs than the industry baseline. Furthermore, we show that superior results are obtained from an objective with multiple cost components compared to traditional one-dimensional objectives.
  Keywords: store replenishment; clustering heuristic; supply chain logistics; fast-food supply chain.
  
  
• Predictive Modelling for Smart and Sustainable Logistics  
  by Chuks Medoh, Arnesh Telukdarie 
  Abstract: Logistics systems (LS) are complex networks that are indiscriminately interconnected and comprising facilities, data, raw material, and product. Quantifying the performance of LS requires a comprehensive understanding of the structure and behaviour of these systems. This is subject to technological complexities. This paper aims to develop a predictive modelling suitable to quantify the performance of LS. The components of the SSLM consist of, business process based, influencing factors and associated activities. This paper adopts a mixed-method approach to quantify the relative performance of each factor via simulation and design of experiment (DOE) approach. The approach provides for the modelling of the statistical significance of the interactions and effect of each factor. The results demonstrate the ability to integrate LS in forecasting the SSLM network optimisation. The innovations reinforce the context of smart and sustainable logistics practices. The SSLM facilitates managers capacities beyond traditional approaches to quantifying the performance of LS.
  Keywords: logistics; sustainability; simulation; smart and sustainable logistics model; SSLM; logistics systems; LS.
  DOI: 10.1504/IJLSM.2022.10049519
   
  
• Antecedent factors in supply chain relationships: Evidence from Thailand  
  by Thananya Wasusri, Supakit Piyapattamakarn 
  Abstract: This study explores the factors influencing trust, commitment, and firm performance in Thailand’s textile and apparel supply chains. The factors influencing supply chain relationships and performance may vary in terms of infrastructure, information technology, and culture across different industries and countries. In this study, exploratory factory analysis, analysis of variance, and regression analysis were conducted to analyse the data of 149 Thai firms, collected via questionnaires, online surveys, and postal surveys. The results show that information sharing, information availability, and information quality are important in improving trust among supply chain members. Additionally, higher levels of information quality and trust lead to higher levels of commitment, which in turn can improve performance. Further, the perception of supply chain relationships is higher in the upstream than in the downstream. Therefore, suppliers, or the upstream, concentrate more on enhancing information sharing, trust, and commitment compared to buyers, or the downstream supply chain.
  Keywords: supply chain relationship; information sharing; information quality; information availability; trust; commitment; performance; textile; Thailand; factor analysis.
  DOI: 10.1504/IJLSM.2021.10049592
   
  
• Annotated methodological review of freight logistics supply chain risk management  
  by Kim Yoke Ong, Suhaiza Zailani, Kanagi Kanapathy 
  Abstract: The content analysis approach was used in the literature review paper, which focused on freight logistics supply chain risk management. Several aspects of the literature review were investigated and analysed. The goal of the study, years of publishing, journal names or publications, techniques, theories used, country of study, crucial success elements, obstacles and barriers, and article contributions by universities were all thoroughly reviewed. The analysis uncovered ten key findings, including: a high proportion of empirical (survey interview and modelling) based studies in the field of freight logistics supply chain risk management; a lack of empirical validity on the fusion of freight logistics and supply chain risk management; a lack of theoretical based studies, and so on.
  Keywords: freight logistics; logistics; supply chain; supply chain risks; supply chain risk management; SCRM.
  DOI: 10.1504/IJLSM.2022.10049712
   
  
• The response of the logistics and supply chain industries to two different crises a Google trends econometric approach  
  by THEODOROS DAGLIS 
  Abstract: In this paper, we test whether Google searches provide useful forecasting ability on some of the biggest logistics and supply chain companies’ stocks, during two crises of different origins, namely, the crisis of 2008, and the COVID-19 crisis. We also examine the spillover effects among these stocks for both periods. Additionally, we compare the aforementioned results regarding the two crises. Based on our findings, the examined keywords provide useful information for the forecasting of logistics and supply chain companies’ stocks for both crises. Especially for the crisis of COVID-19, Google trends contribute to the forecasting of these stocks’ performance, even in some cases that the pandemic data did not provide. Finally, there are spillover effects for both crises, but for the COVID-19 era are less in multitude than those during the crisis of 2008.
  Keywords: COVID-19; crisis; Google trends; stringency lockdown index; logistics; supply chain.
  DOI: 10.1504/IJLSM.2022.10049732
   
  
• An Innovative Method to Solve Classic and Dynamic Multi-Depot Vehicle Routing Problem  
  by Reza Rahimi Baghbadorani, Mohammad Haeri 
  Abstract: significant part of distribution companies’ final interest and cost is related to delivering goods to customers. Due to constraints on service hours and service distances, logistics companies usually build multiple depots to serve a large number of dispersed customers. This is why multi-depot vehicle routing problems (MDVRP) win more and more companies’ attention to thrift their cost. In this research, first, we address a classic form of MDVRP and ponder its solution. A tuning parameter is introduced to trade-off between the final and computation costs. Then, considering issues like traffic congestion variations, increasing or decreasing number of customers, and other uncertainties, dynamic MDVRP is analysed. A receding horizon approach is proposed, and its performance in three scenarios is investigated. Simulation results show that the proposed algorithm is feasible and efficient to solve the dynamic MDVRP.
  Keywords: vehicle routing problem; VRP; classic MDVRP; receding horizon; dynamic MDVRP; capacitated clustering.
  DOI: 10.1504/IJLSM.2022.10049733
   
  
• The Impact of Forecasting Error, Stream Level, and Control Mechanism of the Supply Chain Enhanced by Theory of Constraints on the Order Fill Rate and the Inventory Level  
  by Hokey Min, Bih-Ru Lea 
  Abstract: This research aims to validate the usefulness of the Theory of Constraints (TOC) principles for supply chain management. Such validation starts with the assessment of the impact of forecasting error, the stream level of supply chain partners, and the choice of supply chain control mechanism on the performance of a supply chain enhanced by TOC. Specifically, throughput dollar days (TDDs) and inventory dollar days (IDDs) were used as supply chain control measures. The results revealed that TOC-enhanced supply chain performance hinges on the extent of demand forecasting error and that the stream level (being in the upstream or downstream) of the supply chain partner tended to influence its inventory size and the subsequent inventory carrying cost, whereas the stream level had little to do with the supply chain partner’s order fill rate. Furthermore, the dynamics of the supply chain control mechanism with regard to supply chain performance have been analysed.
  Keywords: supply chain performance; theory of constraints; TOCs; throughput dollar days; TDDs; inventory dollar days; IDDs; supply chain disruption.
  DOI: 10.1504/IJLSM.2022.10049765
   
  
• Operational Solutions to Improve Relief Logistics Management  
  by Maryam Aliei, Mansoore Hoorali 
  Abstract: Islamic Republic of Iran with the climate, geography, socio-economic characteristics, and coordinate its military security policy context is very much prone to natural and human-made disasters. International statistics available indicate that in the past 40 years, the country has undergone a great disaster, and suffered heavy personal injury and economic losses are huge. This paper has a brief review of the applications, container transport logistics, rescue and temporary accommodation trauma and design studies and strategies implemented derived from this concept in rescue operations in the disaster, innovative development container rescue as a solution for rescue of innovative offers. The relief container is a concept whose design is based on the application of changes in the forty-foot shipping container and has the ability to provide transportation, storage, residential and service functions in disaster communities.
  Keywords: disaster; natural disasters; rescue housing; rescue logistics; transport container; rescue container.
  DOI: 10.1504/IJLSM.2022.10049801
   
  
• A two-echelon sustainable supply chain model for third-party-logistics and warehouse financing using multi factor-dependent demand under revenue sharing and consumer segmentation  
  by Malleeswaran Balasubramani, R. Uthayakumar 
  Abstract: In this model, we consider that customer demand depends on multi-factors such as quality, price, and logistics service level, and the manufacturer can decide the product’s quality degree. Further, we develop this model by combining supply chain management with two financial approaches. Namely, third-party logistics and warehouse financing practices developed. This study aims to understand the relationship between supply chain management and third-party logistics under revenue sharing and consumer segmentation. This paper is developed under two models. Model I analyses the impact of an integrated two-echelon SC without market segmentation. Similarly, model II analyses the impact of an integrated two-echelon SC with market segmentation. The revenue-sharing contract is a type of agreement that specifies how earnings and losses are shared among partners in a supply chain. This paper investigates the manufacturer’s and retailer’s profits in a supply chain management system with third-party logistics and warehouse financing services. Moreover, we obtain the optimal solutions for the given decision variables by classical optimisation methods.
  Keywords: third-party logistics; TPL; warehouse financing; revenue sharing; consumer segmentation; multi-factor sensitive demand.
  DOI: 10.1504/IJLSM.2022.10049974
   
  
• Demand Management: the essence of the Theory of Constraints?  
  by Fernando Bernardi De Souza, Lucas M. Ikeziri 
  Abstract: Several studies confirm that successful implementations of the theory of constraints (TOC) are expressive to the extent that the constraints are no longer internal and move into the market, making demand management (DM) a key role. Thus, the DM process is understood by the TOC as a way to identify a significant market need, build a decisive competitive edge (DCE) based on this by excellence in operations, capitalise on it, and sustain the DCE achieved from a fine synchronisation amongst some functions of an organisation, especially operations, sales, and marketing. A theoretical framework outlining the main practices of DM given the TOC is proposed and discussed under the global supply chain forum perspective. The results show that the TOC way of managing operations supports the sub-processes and their activities in the DM process, but they are carried out in a unique way.
  Keywords: strategy and tactic tree; supply chain management; SCM; unrefusable offer; URO; simplified drum-buffer-rope; make-to-availability; MTA; dynamic buffer management; DBM.
  DOI: 10.1504/IJLSM.2022.10050065
   
  
• Designing a closed-loop supply chain network with a focus on the circular economy concept  
  by Fatemeh Jaferi, Arash Shahin, Mohammadreza Vasili, Omid Boyer 
  Abstract: This paper aims to propose a multi-objective planning model to optimise the closed-loop supply chain network considering the circular economy concept. The intended mathematical model can view all aspects of sustainability, including economic, environmental, and social factors. Objective functions have become a one-objective planning problem using the additive weighing method. The designed mathematical model is solved by GAMS software. Designing a mathematical planning model to optimise the sustainable closed-loop supply chain network focusing on the circular economy concept and considering a framework for validation and solution of the developed model with an appropriate computational method are the main contributions in this paper. The results show that acceptable results are obtained by implementing the proposed model.
  Keywords: circular economy; sustainable development; closed-loop supply chain; CLSC; supply chain.
  DOI: 10.1504/IJLSM.2022.10050073
   
  
• A framework for comparing the sustainable practices in retail sector: Towards attaining SDGs  
  by Shalini Singh, Himanshu Mishra, Ajay Jha, Ashish Dwivedi 
  Abstract: Sustainability has become a powerful value proposition to achieve competitive advantage in current environment conscious world. Retailers occupy a unique position in the lifecycle chain of products serving and influencing consumption and production pattern. There is dire need to research on the cost benefit analysis of sustainable approaches taken by retailers in terms of additional expenses, customer acquisition/retention, business practices and promoting sustainable manufacturer brands. The present study explores the contribution of organised retail players in meeting the sustainability objectives laid down by the United Nations as 17 sustainable development goals (SDGs). The study looks into existing literature, retailers’ annual and sustainability reports, and global trends news to identify and compare the sustainability efforts undertaken by prominent organised retailers. In addition, this study also develops a theoretical framework that can guide the retailers to assimilate sustainable business practices in their operations for attaining SDGs.
  Keywords: sustainability; sustainable development goals; SGDs; retail; United Nations; sustainable business model; SBM.
  DOI: 10.1504/IJLSM.2022.10050351
   
  
• A multi-objective green supply chain network design with price-dependent demand  
  by Abolfazl Kazemi, Marzieh Karimi, Mahsa Oroojeni Mohammad Javad 
  Abstract: For many years, various businesses have used the supply chain management system to survive in a competitive market and have a more realistic vision for their business. Designing an optimal supply chain network determines supply chain efficiency and customer satisfaction. In this paper, a multi-objective model for designing a multi-product green supply chain network is proposed considering price-dependent demand conditions. The first objective function aims to maximum profit of the whole chain, including the difference between the revenue from the sale of products and the total operating cost, including fixed costs and variable costs. The second objective function minimises the supply chain’s production and transportation pollution. For solving the NP-hard model, multi-objective algorithms based on Pareto, multi-objective simulated annealing algorithm (MOSA), and multi-objective variable neighbourhood search algorithm (MOVNS) is used. Finally, the statistical hypothesis test and the five standard indicators are applied to evaluate and compare algorithms.
  Keywords: green supply chain network design; price-dependent demand; Pareto-based algorithms.
  DOI: 10.1504/IJLSM.2022.10050352
   
  
• Impact of COVID-19 on Supply Chain Management: A Study on Food Industry  
  by Sunny Saha, S. S. M. Sadrul Huda, Nurun Naher Popy 
  Abstract: Pandemics always have their disastrous impact on global economy. COVID-19 has paralysed the world economy by obstructing supply chain harmony. Considering the food supply chain (SC) which is one of the major sectors of economy, our paper scrutinises the impact of COVID-19 on the different factors (import uncertainty, change of diet, panic buying and long lockdown) that can affect the food products’ supply chain of Bangladesh. Numerous scholarly studies were completed on COVID-19 topic. However, no paper tested the impact of COVID-19 on food SC of Bangladesh. This paper will concentrate on the mentioned research gap. In this paper, 250 retailers of food products were surveyed to collect primary data. For analysing the data, the study used SPSS and AMOS. From the analysis, we find all the mentioned factors have direct impact on food SC of Bangladesh. The study can help the concerned business persons in making effective decisions.
  Keywords: COVID-19; food supply chain; supply chain; SC; Bangladesh; import uncertainty; change of diet; panic buying; long lockdown.
  DOI: 10.1504/IJLSM.2021.10050451
   
  
• PORT VALUE ANALYSIS FROM THE IMPORTERS' POINT OF VIEW: A COMPARATIVE STUDY BETWEEN TWO CONTAINER PORTS LOCATED IN SOUTH BRAZIL  
  by Nayara R. Grison, Guilherme Bergmann Borges Vieira, Jonas Constante, Erica C. Roos 
  Abstract: This study aimed to analyse the competitiveness of two container ports located in the South of Brazil for the imports of containerised cargo to the Serra Gaucha region. For this purpose, the comparative evaluations of Tecon Rio Grande and Portonave conducted by importers were assessed and the most important attributes were identified through multiple regression analysis. The two ports were then compared on the statistically significant attributes (port tariffs, shipping calls and port infrastructure) based on the available evidence on their websites, government agencies and shipowners. In general terms, the results indicated similarity between the two ports. Port tariffs were found to be a critical issue for Tecon Rio Grande, since this was the only factor in which this terminal was considered worse or much worse than Portonave. On the other hand, the commercial performance in the studied region is a point to be considered by Portonave.
  Keywords: port value; attributes; perception of importers; South Brazil.
  DOI: 10.1504/IJLSM.2021.10050529
   
  
• New approach for sustainable and resilient dairy farmer selection under uncertainty  
  by Chaima Benabdallah, Adnen EL-AMRAOUI, François DELMOTTE, Frikha Ahmed 
  Abstract: In this paper, we propose a hybrid multi-criteria decision making (MCDM) model under fuzzy environment to select sustainable and resilient suppliers for a real case study of dairy industry in Tunisia. Initially, 12 criteria are applied for categorising of suppliers into four indexes including social, environmental, economic, and resiliency index through literature review and experts’ opinions. A fuzzy analytic hierarchy process (FAHP) is proposed to calculate the weight of each criterion, which is used as input in a new fuzzy multi-attribute border approximation area comparison (FMABAC) method for ranking suppliers. The proposed approach may help decision-makers to naturally express their preferences for evaluating supplier selection criteria and to identify the most efficient dairy farmers. Finally, obtained results are discussed by using two sensitivity analysis methods, namely, changing the weights of criteria and comparative analysis with other fuzzy MCDM methods.
  Keywords: sustainable-resilient supplier selection; fuzzy sets; fuzzy AHP; fuzzy MABAC; dairy farmers.
  DOI: 10.1504/IJLSM.2022.10050679
   
  
• Selecting the best network design for COVID-19 healthcare waste disposal using fuzzy analytic hierarchy process  
  by Khalid Alzoubi, Nader Theeb, Tasneem Al-khalailah 
  Abstract: The COVID-19 pandemic has dramatically affected our lives and impacted healthcare systems and the global economy. Therefore, it has become necessary to limit the spread of the virus. The proper disposal of medical waste is one of the important ways to reduce the negative effect of the virus. This study focuses on selecting the best network design for COVID-19 waste disposal in Jordan. Fuzzy Analytic Hierarchy Process (FAHP) was used to select the best network design based on quantitative criteria of Total Cost and Response Time, and qualitative criteria of Customer Experience, Safety Practices in Waste Handling, and Effect on the Environment. Three reverse-logistic networks were considered; Direct Shipping, Shipping with Milk Runs, and Shipping with Cross Docking. The findings have revealed that Shipping with Cross Docking was the best network design with a weighted score of 0.478. Therefore, the use of FAHP approach helped in selecting the best network configuration for disposing of COVID-19 waste under conditions of high uncertainty.
  Keywords: Distribution Networks; Waste Disposal; COVID-19; Reverse Logistics; Sustainability.
  DOI: 10.1504/IJLSM.2022.10050713
   
  
• Eliminating food loss and waste using lean tools in the agri-food supply chain  
  by Sahar Elbarky, Rawan Elbary, Rawan Alhaddad 
  Abstract: The purpose of this study is to investigate the factors and root causes of the increasing percentage of food loss and waste in the agri-food supply chain activities in the Egyptian market and propose a solution to eliminate such wastes using lean tools and techniques. Multiple case studies have already been conducted in the agri-food sector employing structured interviews with stakeholders in Egypt to identify the factors and root causes of agri-food waste in a real-life context using Pareto analysis. As per our findings, it was determined that the poor arrangement of boxes on trucks, temperature, the distance between farm and place of delivery, exposure to sunlight, and poor handling practices are the root causes for loss. The researchers developed work instructions and training programs to educate the stakeholders on how to eliminate the sources of potential wastes in the supply chain activities.
  Keywords: agri-food sector; agri-food loss and waste; lean tools; work instructions; training programs.
  DOI: 10.1504/IJLSM.2022.10050725
   
  
• Reverse logistics sustainability performance: from a systematic review to an assessment framework  
  by Maquele Antunes De Oliveira, Marina Hernandes De Paula e Silva, Orlando Henrique Batista Junior, Juliana Veiga Mendes, Luis Antonio De Santa-Eulalia 
  Abstract: Concern about sustainability has increased companies awareness of the importance of reverse logistics (RL) and its related opportunity as a competitive advantage. Despite the importance of this subject, the literature provides a limited number of frameworks on sustainability performance measurement in RL. There is a lack of studies in the literature that provide a clear overview about sustainable performance generating a practical model from it. To contribute to reducing this gap, this paper aims to propose a framework, classifying different indicators according to the triple bottom line (TBL) and through the RL stages - collection, analysis and classification, processing and final destination. A systematic literature review in the intersection of RL stages and sustainability performance was conducted to accomplish the objective. Results include indicators organised into a framework, covering the TBL and RL stages. Our findings also suggest the TBL social dimension is understudied in RL and that more studies indicating how to calculate the indicators are needed.
  Keywords: sustainable development; operations management; performance indicators; triple bottom line; TBL.
  DOI: 10.1504/IJLSM.2022.10050806
   
  
• Practical Optimisation Model for SMEs of Last Mile Delivery Service  
  by Marcello Fera, Mario Caterino 
  Abstract: The delivery business is growing rapidly and consistently in the whole world. This is leading small and medium enterprises (SMEs) to join the business of the last mile delivery service. SMEs are different from the big players in services and products offered; thus, also the optimisation objectives of the SMEs are different from the big partners: often, SMEs do not possess vehicles and outsource to external partners the last mile deliveries, thus they aim to optimise the assignment of the deliveries for minimising the costs. Hence, the development of methods to find feasible solutions for assignation problems related to last mile delivery becomes fundamental for SMEs. This paper aims to address the problem of cost minimisation when outsourcing the last mile delivery service by mathematically representing the assignment decision problem and by proposing the genetic algorithm (GA) as metaheuristic to solve the problem. The tests revealed the effectiveness of the GA.
  Keywords: last mile delivery service; assignment problem; genetic algorithm; small-medium enterprise; optimisation.
  DOI: 10.1504/IJLSM.2022.10050860
   
  
• Analysis of enablers for the adoption of blockchain for net-zero supply chain  
  by Nidhi Yadav, Dixit Garg, Sunil Kuma Luthra 
  Abstract: In response to Indias commitment to achieving net-zero carbon emission by 2070, supply chain researchers and practitioners are keen to transform their conventional supply chain into net-zero supply chain (NZSC). Digitalisation of the supply chain such as the use of blockchain technology (BCT) is one strategy to reduce carbon emissions of the supply chain. Despite its potential and years of fanfare, BCT is yet to gain widespread recognition and adoption. Fifteen blockchain adoption enablers for NZSC have been identified based on an extensive literature review. Further, the technique for order of preference by similarity to ideal solution (TOPSIS) is used for ranking identified enablers based on multiple-criteria decision-making (MCDM). The results showed that 'transparency and traceability' are the most critical enablers for implementing BCT for NZSC. This research has also recommended many theoretical and managerial implications for future research in this field.
  Keywords: net-zero supply chain; NZSC; blockchain technology; BCT; multiple-criteria decision-making; MCDM; TOPSIS.
  DOI: 10.1504/IJLSM.2022.10050934
   
  
• Effects of Duration of Visits on Covid-19 Infection Using a Multi-agent Simulation and Lean Concept  
  by Woramol C. Watanabe, Patchanee Patitad 
  Abstract: In the COVID-19 pandemic, social distancing become a critical issue. People need to avoid spending time in crowded places. However, some activities cannot be postponed such as an appointment in a hospital. For geriatric care, there are many processes that mean elderly patients need to spend a long time. While they also have a higher risk of serious illness from COVID-19 in a limited space. To decrease time spent, this research aims to improve the case study in Thailand by using value-added analysis and the lean concept with the ECSR technique. Besides, an analysis of the effects of the duration of patient visits on the infection is presented by using a multi-agent simulation. The result presents that the duration of patient visits is decreased by 12.82% from the current operation. The simulation also declares that if the duration is decreased, the number of COVID-19-infected patients is significantly decreased.
  Keywords: lean healthcare; value-added analysis; COVID-19; multi-agent simulation.
  DOI: 10.1504/IJLSM.2022.10051018
   
  
• Identifying trends in Trade and logistics performance: A systematic literature review  
  by ASHISHKUMAR BHATT, Bijal Zaveri 
  Abstract: The logistics performance index (LPI) of the World Bank is a useful tool for countries to assess their current situation and evaluate their performance in the global logistics industry. The findings of the study confirm the link between logistics performance and a country’s economic growth. For Africa, Europe, and Asia, literature has found a favourable relationship between logistical performance and international trade. The study looked at 151 research publications and analysed them by year, region, and income, as well as citations of research articles and authors, top journals with citation data, and methodologies employed in research articles with suggestions. The findings shed light on the current situation of LPI and foreign trade. The study suggested that the new researcher focus more on low-income groups using new statistical tools and approaches, as well as new factors such as logistics cooperation and collaboration.
  Keywords: logistics performance index; LPI; trade; competitiveness; sustainability; bibliometric analysis; VOSviewer; Scopus.
  DOI: 10.1504/IJLSM.2022.10051302
   
  
• Literature Review on Supply Chain Transportation and Disruption Factors  
  by Mahmood Ahmad, Ammar Al-Bazi 
  Abstract: Transportation is a primary key factor for the operations of any successful supply chain. However, transportation management must be efficient and well organised, even though the possibility of damaging and interrupting an event is more likely to happen due to the competitive and globalise environment nowadays. This study conducts a comprehensive literature review focused on the transportation aspects of the supply chain precisely. The aim is to classify the recent literature on different aspects of supply chain transportation and to address the consideration of disruptions in transportation studies. Therefore, a conceptual framework is developed to analyse the interrelated relationship among the disruption factors, identify the research gaps and recommend future works for researchers.
  Keywords: supply chain; supply chain transportation; disruption factors; transportation disruption.
  DOI: 10.1504/IJLSM.2022.10051406
   
  
• An analysis of the natural gas production supply chain in the Permian Basin using Goldratt’s theory of constraints  
  by Pinyarat Sirisomboonsuk, James Burns 
  Abstract: A theory of constraints (TOC) model of supply-chain capacity and its limiting effect on natural gas production capacity coming from the Permian Basin is developed and presented. The authors use the model to better understand production capacity limitations and to explore the possible impediments that may be preventing the capacity of the Permian Basin from increasing. From this model numerous suggestions (solutions, injections) are made as to how to alleviate the impediments related to the extraction, transport, refining and distribution of natural gas coming out of the Permian Basin. Major issues associated with the Permian Basin are addressed
  Keywords: bottleneck; current reality tree; CRT; future reality tree; FRT; gas production; logistics; Permian Basin; supply chain.
  DOI: 10.1504/IJLSM.2022.10051713
   
  
• Improving Warehouse Operations Efficiency in a Retailer: A Case Study Employing a Systemic Approach  
  by Khalid Aljohani 
  Abstract: Researchers continuously develop effective approaches to improve warehouse management systems. This study presents an efficient warehouse management framework that aims to improve the warehouse layout planning, smooth the flow of warehouse operations and facilitate the efficiency in accessing and deploying of materials, while at the same time establishing additional safety procedures in retail warehouses. With the help of empirical data collected from a case study company that manufactures perfumes and aromatic products based in Jeddah, Saudi Arabia, a framework for developing and refining an optimal warehouse management system is outlined. The suggested framework was then implemented at the case study company which resulted in a revised warehouse layout plan, a reorganised inventory, and improved material handling operations. The study observed for three months the performance of operations under the revised warehouse layout. The evaluation concluded with a risk assessment to ensure a safe and secure warehouse working environment.
  Keywords: logistics; warehouse management; warehouse layout; material handling; operations improvement.
  DOI: 10.1504/IJLSM.2022.10051994
   
  
• Omnichannel Transportation, Warehousing, and Manufacturing Quality Characteristics in a Post-Covid Environment: Case and Empirical Study  
  by Alan D. Smith, Gabriel Moreno 
  Abstract: The transportation and warehousing industry includes industries providing logistical services of passengers and cargo, warehouses for storage, and support activities related to transportation
  Keywords: artificial intelligence; AI; business cloud intelligence; case study; empirical study; manufacturing quality; omnichannel; supply chain management; SCM; supply chain management solutions software.
  
  
• Mitigating Supply Chain Disruptions, Risks, and Vulnerabilities  
  by John Jeong Kim  
  Abstract: The global supply chain has made numerous strides in improving processes to keep the supply chain functional. However, supply chain businesses suffer disruptions from many different factors, which impact the supply chain businesses and customers. The purpose of this research was to understand the various ways the supply chain disruption occurs and to develop potential ideas on mitigating disruptions. The background of the issue was researched, followed by the interview of 11 high-level supply chain managers and employees to obtain data for understanding the disruption factors and the strategies that were developed and implemented to mitigate the risks and impact of disruptions. After the interviews were conducted, a thematic analysis was used to analyse the data collected to discover several themes. Each theme involved a general strategy that supply chain businesses can implement and develop based on the different organisational culture while keeping the priorities and goals the same.
  Keywords: supply chain industry; supply chain disruptions; risk management; disruption mitigation; supply chain vulnerability; supply chain security; supply chain management; SCM.
  DOI: 10.1504/IJLSM.2022.10052161
   
  
• An application of R’DEMATEL approach and Sensitivity analysis for Identifying significant barriers for horizontal collaboration implementation in logistics  
  by Biswaroop Chakraborty, Sujan Mondal, ANKITA RAY 
  Abstract: Implementation of horizontal collaboration (HC) between competing companies will influence environmental and socio-economic objectives of sustainable development in logistics transportation sector. Real application of HC is challenging, and past literature identified significant barriers related to HC implementation and suggested to evaluate the relative importance of the identified barriers and interactions of the barriers by using causal analysis approaches. Therefore, our study addressed this research gap and try to present inter-relationship of the significant barriers of HC implementation in logistics by using rough set theory (closely related to fuzzy set theory and used to determine structural relationship within vague and deafening data) along with decision-making trial and evaluation laboratory (DEMATEL) method. The sensitivity analysis is performed to determine the impact of expert’s weight coefficient on the final evaluation result. Outcome of the study helps logistics manager to focusing on to improve inter-organisational environment to adopt this sustainable business strategy.
  Keywords: horizontal collaboration; rough set theory; DEMATEL; sensitivity analysis; decision making.
  DOI: 10.1504/IJLSM.2022.10052162
   
  
• An integrated approach based on classification and forecasting intermittent demand model for urban pick-up: A case study of Moroccan carrier  
  by Leila Bourrich, Saâd Lissane Elhaq 
  Abstract: Pick-up links play a crucial role in logistics chains. It is the most expensive and polluting part of urban logistics. Management and decision-making must be optimised to improve their performance, and develop urban logistics sustainably. Several factors make its management difficult. Due to that, this process produces intermittent demand series. Our aim in this paper is to improve the pick-up chain by anticipating customers’ requests. Based on K-means clustering, the integrated approach proposes two novel estimation models for demand occurrence, followed by a forecasting model derived from benchmarking studies between three methods: SES, Croston, and SBA on a real dataset. Our approach demonstrates the value of the classification model and the outperformance of SBA over other methods. This area has not been researched. Thus, this study contributes to urban logistics durability and freight transportation. Consequently, carriers will be provided with new-and-improved benefits in the future based on this relevant context.
  Keywords: forecasting methods; intermittent demand; K-means clustering; pick-ups’ demand-anticipation; freight transportation.
  DOI: 10.1504/IJLSM.2023.10052257
   
  
• Evaluation of suppliers’ performance of a cosmetic company in Brazil  
  by Priscilla Cristina Cabral Ribeiro, Helder G. Costa, Thamires E. Duarte, Vitor M. Dos R. Almeida 
  Abstract: The outsourcing of manufacturing activities has been used as a vertical disintegration manner that aims to yield advantages like cost reduction and flexibility gains. A problem that arises in this subject is to evaluate the suppliers’ performance. In this regard, this study applies modelling to evaluate the performance of contract manufacturing suppliers that produce promotional kits for a multinational company in the cosmetics industry in Brazil by some criteria. To that end, qualitative and quantitative research was conducted with semi-structured interviews in areas of the company that interface with three suppliers, analysing the results by the constructs found in the literature review, and by the software ELECTRE TRI ME. It could be concluded that suppliers had a low evaluation in criteria such as flexibility and that one supplier’s performance is considerably lower when compared to the others. We could also identify integration issues between teams.
  Keywords: outsourcing; suppliers’ evaluation performance; criteria; contract manufacturing suppliers; Brazil; cosmetics industry; quali-quanti approach; ELECTRE TRI ME.
  DOI: 10.1504/IJLSM.2021.10052414
   
  
• Location of Multi-Product and Multi-Resource Capacity Facilities in Green Logistics  
  by Maryam Aliei, Mansoore Hoorali 
  Abstract: The issue of facility location is one of the most important and practical issues in the field of decision-making issues. Reducing costs has always been one of the main goals of these issues. In recent years, with the increase of environmental concerns, attention to the mission of harmful gases and the pollution caused by them has become another effective criterion in locating facilities and allocating customers to them. In this paper, the two-objective problem of locating multi-source and multi-product capacity facilities with simultaneous consideration of financial costs and carbon dioxide emissions is investigated. First, the mathematical model of the problem is presented and then the stable analysis method using Monte Carlo simulation is used to solve the problem. By using this method, the degree of stability for Pareto optimal solutions can be achieved in order to make better decisions for establishing warehouses and allocating customers to them. Finally, the computational results are presented and analysed.
  Keywords: facility location problem; green logistics; multipurpose optimisation; stability analysis; multi-products; multipurpose.
  DOI: 10.1504/IJLSM.2022.10052605
   
  
• An Integrated Framework for Third Party Logistic Evaluation by using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution  
  by Asmaa Galal, Hesham Elawady, Noha Mostafa 
  Abstract: This paper provides an integrated approach for evaluating and selecting third party logistics (3PLs) service providers. It contains two phases: the first phase employs a fuzzy analytical hierarchy process to specify the weights of the evaluation criteria, while the second phase uses the technique for order preference by similarity to ideal solution to evaluate the alternatives, sequence them, and select the best option. Finally, the proposed approach was implemented for a case study with four criteria and three alternatives. After that, sensitivity analysis was developed to get deeper insights. The results manifest the impact of using different methods to find the fuzzy sets on the value of criteria. The most important factors in 3PL selection were found to be compatibility (47.17%), financial performance (25.49%), reputation (16.52%) and long-term relationship (10.82%). The paper compares between using the extent analysis method and the geometric mean technique to find the fuzzy numbers.
  Keywords: third party logistics; 3PLs; multi-criteria decision making; MCDM; fuzzy analytic hierarchy process; FAHP; TOPSIS; extent analysis method; geometric mean technique; outsourcing.
  DOI: 10.1504/IJLSM.2022.10053039
   
  
• Third party purchase: an empirical study from the Chinese automotive industry  
  by Yangyan Shi, Luying Liu, Walter Glass, Yangfei Gao, Eias A.I. Humdan 
  Abstract: Third-party purchases (3PP) offered by third-party logistics (3PL) providers are a new concept in the contemporary business context. The primary objective of our study is to explore a possible method of improving relationships between 3PP service providers and suppliers in China’s automotive industry. We analyse a 3PP service provider by interviewing its employees and suppliers. A qualitative research method was employed using a single case study protocol. We deliberately selected a 3PP service provider operating in the automotive industry. We then collected empirical data via face-to-face interviews with well-informed 3PP employees and a cross-section of 32 suppliers. The major finding of this study is that 3PP service providers not only help to improve operational efficiency, but they also reduce prices for their clients. The study comprehensively analyses the implementation of 3PP in the automotive industry in China.
  Keywords: outsourcing; third-party purchase; 3PP; automotive industry; case study; China; third-party logistics; 3PL.
  DOI: 10.1504/IJLSM.2022.10053184
   
  
• The Technological  
  by Alaa Ghurbal, Rateb Sweis, Baraa Allan 
  Abstract: In the healthcare setting, radio frequency identification (RFID) has myriad applications such as tracking medical equipment and hospital assets, identifying and monitoring patients, and enhancing healthcare facilities’ management and supply chains. 52 factors based on the technological-organisational-environmental (TOE) framework were identified to be ranked according to importance by respondents. In total, 637 respondents participated from five groups; top managers, middle managers, physicians, pharmacists, and nurses. The findings showed that
  Keywords: radio frequency identification; RFID adoption; healthcare; Jordan; TOE framework.
  DOI: 10.1504/IJLSM.2022.10053390
   
  
• INFLUENCE OF ELECTRONIC PROCUREMENT PRACTICES ON THE SUPPLY CHAIN PERFORMANCE OF PUBLIC INSTITUTIONS IN GHANA  
  by Bright Tanzubil Junior  
  Abstract: This study was conducted to determine the impact of e-procurement practices on the supply chain performance of public institutions within the Upper East Region of Ghana. Five prime e-procurement practices were analysed in relation to supply chain performance. Purposive sampling technique was employed to collect quantitative data from 251 employees of public institutions using a structured five-point Likert scale questionnaire. The findings of the study suggest that e-catalogue, e-invoicing, e-sourcing and e-supplier selection have a positive and significant impact on the supply chain performance of public institutions. The findings of the study further revealed that e-tendering did not have any significant impact on supply chain performance. Hence, the study's findings suggest that public-sector procurement managers can improve the efficiency and effectiveness of their supply chain operations and services by properly implementing e-cataloguing, e-invoicing, e-sourcing, and e-supplier selection technologies.
  Keywords: procurement; e-procurement; supply chain performance; e-catalogue; e-invoicing; e-sourcing; e-supplier selection; e-tendering; public institution; Ghana.
  DOI: 10.1504/IJLSM.2022.10053514
   
  
• Green vehicles adoption for last-mile delivery: a systematic literature review and current trend  
  by Rezli Ainur Savira Lubis, Yuliani Dwi Lestari 
  Abstract: The final step in the e-commerce supply chain, last-mile delivery, is an innovative approach to urban logistics issues, including lowering carbon emissions through alternative vehicles. This research intends to update and identify green vehicles adoption based on the type of last-mile delivery and the type of commodities transported by a systematic literature review method to enhance the sustainability of urban logistics. The findings show that collaboration between conventional vehicles (fossil fuels) and active transportation (bicycles, walking), public transportation, electric vehicles, drones, and robots is the most widely adopted. From an environmental standpoint, carbon emissions can be significantly reduced with this alternative vehicle when making deliveries. In addition, the result shows that this environmentally friendly vehicle mostly serves general goods delivery to the consumer’s location. Meanwhile, crowdshipping is an urban logistics trend that has emerged recently by utilising individuals to make deliveries when traveling in certain areas.
  Keywords: e-commerce; green vehicles; last-mile delivery; urban logistic.
  DOI: 10.1504/IJLSM.2022.10053583
   
  
• Identifying Challenges Plaguing Ethiopia's Logistics Industry: A Structured Literature Review  
  by Hafiz Wasim Akram  
  Abstract: The backbone of a country’s trade interactions with the rest of the world is its efficient logistics performance. This paper reviews the literature on Ethiopia’s logistics industry to assess its current state, pinpoint its knowledge gaps, and suggest a framework for addressing the issues faced by this industry. This work examines 56 academic articles on the topic of problems facing Ethiopia’s logistics industry published in various journals between 2001 and 2022. Research publications were selected from three databases: Scopus, Web of Science, and Dimensions. Besides, pertinent literature from other sources, such as the World Bank, was also incorporated in the study for a better critical analysis. The study has attempted to shed light on the problems being faced by Ethiopia’s logistics industry and the resulting repercussions. Based on the comprehensive literature review, the paper has enumerated a few broad challenges, the resolution of which is expected to bring about a positive change in Ethiopia’s international trade.
  Keywords: logistics; logistical problems; logistics industry; challenges; Ethiopia.
  DOI: 10.1504/IJLSM.2023.10053619
   
  
• The key drivers and barriers for Vietnamese companies implementing reverse logistics  
  by Han Huyen-Huong, Thi Thuy Nguyen, Thi Duong Nga Nguyen, Son-Tung Le 
  Abstract: Today, the world’s waste creation rates are rising as a result of population increase, urbanisation, and economic growth. Reverse logistics is employed in the collection, recycling, and reuse processes as well as in the reduction of consumables and environmental compatibility in the sustainable management of municipal waste. Although reverse logistics (RL) is regarded as the most important component of supply chain management in developed nations, its adoption in developing countries is still in the early stages. This study aims to identify the key drivers and barriers to companies using reverse logistics in developing countries, especially Vietnam. 287 managers were surveyed in five areas of Vietnam for a research study. The findings indicate that there are three drivers and one barrier for RL practice. Numerous implications for management and practice have been identified by this study.
  Keywords: economic drivers; financial barriers; infrastructure barriers; reverse logistics; sustainability; corporate social responsibility.
  DOI: 10.1504/IJLSM.2022.10053654
   
  
• Optimal warranty period for the controllable deteriorating product under trade credit, inflation, and demand-dependent production rate  
  by Mrudul Jani, Manish Betheja, Urmila Chaudhari 
  Abstract: n any transaction, the trade credit policy is a regular component of market transactions that raise demand. The accompanying businesses provide a warranty period facility to increase consumer demand for products while a higher price of goods lowers demand and vice versa. This study determines a production model, wherein the production rate is directly proportional to price-warranty period under trade credit policy. This work considers: 1) constant deterioration rate and investment in preservation technology; 2) the rate of replacement failure is a nonlinear function, wherein the capital of the producer depends on the warranty period; 3) the rate of inflation is constant. This study is primarily aimed at calculating the optimum warranty period, investment under preservation, cycle time, and sales price to optimise the manufacturer’s net profit. The results are validated by solving three numerical examples and for key parameters a sensitivity analysis is analysed with some important managerial implications.
  Keywords: constant deterioration; inflation; trade credit policy; time-varying holding cost; preservation technology investment; the warranty period.
  
  
• Distribution system and logistics centers planning for agricultural products.  
  by Tzong-Ru (Jiun-Shen) Lee, Yenming Chen 
  Abstract: This research starts from understanding the demand for agricultural logistics centers of the relevant agricultural entities to define such demand. Moreover, this study aims to employ scientific management methods to determine the appropriate number of regional agricultural logistics centers required to be established, as well as the classification of and cooperation modes for these logistics centers. We also introduce the concept of modern logistics and employ the mathematical planning result as a feasible major direction for adoption and integration into the current logistics system based on the current conditions of specific manufacturers. Furthermore, we recommend the coaching model in discussing the plan of establishing logistics center systems in agricultural production areas from a realistic perspective.
  Keywords: logistics; agriculture product; distribution center.
  DOI: 10.1504/IJLSM.2021.10054056
   
  
• The resilience of third-party logistics providers in extreme contexts: An empirical study in COVID-19  
  by Thi Trinh Dao, Canh Lam Nguyen 
  Abstract: Based on the resilience theory and a purposive sample of 11 third-party logistics providers, this exploratory research enhances knowledge about the main concerns, major adjustments, key factors to cope with, and the pivotal factors to adapt and develop the resilience of these firms during the COVID-19 pandemic. Four dimensions of these firms’ main concerns include (1) supply chain disruption, (2) finance threats, (3) human concerns, and (4) the unknown of the future. The main dimensions that helped these firms cope with the situation consist of financial strength, workforce, and supply chain management. Changes and adjustments include work-based activities, adjustments to compliance, and business strategies. Two dimensions should be developed to adapt and develop in the post-COVID-19 era, including supply chain collaboration and technology innovation. A proposed conceptual framework is then provided, followed by a discussion of its theoretical and practical implications.
  Keywords: third-party logistics provider; 3PL; logistics; COVID-19; resilience; Vietnam.
  DOI: 10.1504/IJLSM.2023.10054075
   
  
• EOQ model in uncertain environment by using generalized intuitionistic fuzzy Laplace transformation  
  by Bijoy Krishna Debnath, PINKI MAJUMDER, Uttam Bera 
  Abstract: This paper investigates an intuitionistic fuzzy economic order quantity (EOQ) inventory model under trade credit policy where initial order quantity is considered as triangular intuitionistic fuzzy number (TrIFN) and generalised fuzzy Laplace transform method is applied to solve intuitionistic fuzzy differential equation. The rate of demand varies with the selling price and inflation over time. Furthermore, the generalised Hukuhara derivative approach to convert the fuzzy differential equation into crisp differential equation is employed. The purpose of this paper is to determine the time that maximises the retailer’s total profit per unit. Since, initial order quantity is assumed to be TrIFN and by using of (?, ?)-cut of intuitionistic fuzzy number, then four objective profit functions are derived. Therefore, multi-objective genetic algorithm is used to obtain the solutions. Finally, a numerical example is considered for different cases in order to illustrate the theoretical results and a sensitivity analysis of parameters on the solutions is conducted.
  Keywords: intuitionistic fuzzy number; multi-objective genetic algorithm; MOGA; intuitionistic fuzzy differential equation; gH derivative.
  DOI: 10.1504/IJLSM.2022.10054078
   
  
• Trade-offs in warehousing storage location reassignment  
  by Polina Görbe, Tamás Bódis, Peter Foldesi 
  Abstract: In the low-level picker-to-parts warehouses the order picking is the most time- and cost consuming process. The performance indicator for order picking is lead time. The system can be considered efficient if these lead times can be kept low, but this is heavily influenced by the storage location assignment in the warehouse, the routing, and the warehouse layout. The objective of this research is to investigate in what cases and to what extent reassignment and repositioning tasks following efficiency deterioration as well as seek answers to how to minimize these costly tasks and maintain a near-ideal storage location assignment. To solve this problem, an intelligent system concept is presented, which aims to support the warehouse operator in making replenishment decisions, which picking storage to replenish based on the current rotation of item, and which products to repositioning, while maintaining a near ideal storage location assignment. The aim of this paper is to highlight the potential decision points and circumstances, when adaptive storage location reassignment would be necessary and how this concept can help everyday warehouse logistics.
  Keywords: warehouse; repositioning; storage-location-assignment; efficiency.
  DOI: 10.1504/IJLSM.2023.10054150
   
  
• Evaluating Additive Manufacturing Success Factors for the Aviation Industry: An Interpretive Structural Modelling Approach  
  by Robert Walton, Aman Gupta 
  Abstract: This study explored the factors that might affect the emerging additive manufacturing (AM) industry, specifically the aviation industry. Additive manufacturing involves the creation of parts using a layer-by-layer printing process to build a part. Historically, AM has been used for prototyping; however, recently, technology has evolved into full-scale production. However, there are issues that hamper the widespread production of aviation parts. Using interpretive structural Modelling (ISM) methodology, this study explored the mutual influences and consequences among different AM attributes that affect the wide-scale use of technology. The study found that the most important benefit of AM is weight reduction, with intellectual property rights being the least important. This study contributes to the literature on AM, specifically for the aviation industry, and outlines the most important attributes that management and regulators should focus on to advance this emerging technology.
  Keywords: Additive Manufacturing; Interpretive Structural Modelling; Supply Chain; Operations; Production.
  DOI: 10.1504/IJLSM.2023.10054151
   
  
• Current panorama of road cargo transport in Brazil  
  by LISEANE PADILHA THIVES, Enedir Ghisi, Juarez Jonas Thives Júnior 
  Abstract: Roads represent the primary means of transporting cargo and people in Brazil. However, even considering the importance of roads for the country's economy, only 12.4% of roads in Brazil are paved, and accident rates are high. The main objective of this work is to assess the current panorama of road cargo transport on Brazilian federal roads. The road conditions and the accidents involving trucks were evaluated. Besides, truck driver profiles were traced, and finally, the economic and social aspects were evaluated. The inadequate road network conditions contribute to circulation restrictions, damage of products transported by trucks, and increase the risk of accidents. Improving the quality of Brazilian roads will minimise the socio-environmental impacts of cargo transportation deficiencies. Actions such as investments in new roads and maintenance of the existing ones are needed, but better drivers and new technologies are also required.
  Keywords: truck; Brazil; cargo transport; road network.
  DOI: 10.1504/IJLSM.2023.10054152
   
  
• Enhancing Resilience in the Global Automotive Supply Chain: Lessons Learned from the Systematic Literature Review  
  by Hokey Min, K.M. Mahaboob Sheriff 
  Abstract: The automobile is the lifeblood of our daily mobility. Its access, however, has been severely limited due to the sudden disruption of the automotive supply chain caused by the draconian COVID-19 control measures and the ongoing Russia-Ukraine war. Since the automotive industry affects other supporting industries such as steel, rubber, battery, and glass, its struggle can bring down the entire worldwide economy. Despite its essential role, today's automotive industry has been hit hard by the continuous disruption of its supply chain due to incoming part shortages. This paper proposes various practical remedies to enhance automotive supply chain resilience by identifying vulnerabilities and mitigating supply chain risks. This paper conducted a systematic review (SLR) of academic literature on the automotive supply chain to develop such remedies. Our review revealed that the automaker's lack of collaboration with its supply chain partners and the subsequent inability to tackle organizational and operational risks were major culprits for its vulnerability to supply chain disruptions.
  Keywords: Supply chain resilience; automotive supply chain; organizational risks; digital technologies; systematic literature review.
  DOI: 10.1504/IJLSM.2023.10054187
   
  
• A value co-creation and relational-based view for financial metrics in third-party logistics  
  by Paulo Sergio Altman Ferreira  
  Abstract: This paper proposes and explains financial measures and value co-creation analytics for logistics costs and relationship performance. The fundamental approach refers to the view of logistics services as value co-creation drivers. The main argument is that measuring value co-creation accomplishments of 3PL could enable developing relational-based financial metrics. In turn, these indicators would represent an additional view for measuring financial performance across the entire supply chain. This proposed framework was developed through applying deductive logic to blend the value co-creation perspective of logistics services and relationship development. Systematic measurement of logistics value requires a description of the financial impact of the co-creation perspective of the service. Relational costs and revenues in a perspective of value co-creation is a novel approach for 3PL to manage its performance within the entire supply chain. The outcome is a proposition to capture how value-co creation can be quantified in financial terms in logistics services.
  Keywords: Value co-creation; 3PL; Relational-based logistics; Logistics services; Financial metrics framework.
  DOI: 10.1504/IJLSM.2023.10054234
   
  
• Status of Green Supply Chain Management in Power Companies  
  by SHEETAL SODA, Lakhwinder Pal Singh 
  Abstract: Industrial activities of humans have begun to have an unfavorable effect on the environment, which may become self-destructive for the former as a result of increased industrialisation and ever-growing consumerism. Due to greenhouse gas emissions from the combustion of fossil fuels, the power sector has been named one of the world’s most polluting industries. The electricity sector is a natural fit for green supply chain management (GSCM), which has the ability to reduce pollution while also benefiting businesses financially. This article aims to examine the degree to which state-owned power companies (SOPCs) in Punjab have adopted and implemented GSCM methods.
  Keywords: green supply chain management; GSCM; power companies.
  DOI: 10.1504/IJLSM.2023.10054343
   
  
• Evaluating Resilience in Supply Chain under Disruptions  
  by Suchera Putthakosa, Huynh Trung Luong 
  Abstract: Disruptions in supply chains are common all around the world. Hence, the effect of disruption on the supply chain must be analysed to assist enterprises in responding to the interruptions. The disruptions expose vulnerable spots in supply chain networks, resulting in delayed recovery. Therefore, improving supply chain resilience becomes an important issue. In this research, a renewal approach will be used to investigate resilience measures. The proposed approach helps determine the system’s sustainability, vulnerability, and recoverability for a supplier who may encounter unforeseen events. Those resilience measures will be determined through the long-run proportions of time the system is in various states. Sensitivity analyses are also conducted to examine the influence of each system parameter on the resilience measures.
  Keywords: supply chain resilience; renewal theory; supply chain network; disruption; supply chain management.
  DOI: 10.1504/IJLSM.2023.10054390
   
  
• Influencing of supply chain management in business: Evidence from reference models  
  by Iskander Zouaghi, Piera Centobelli, Raja Sreedharan 
  Abstract: Business dynamics has created many ripples in industries and supply chain management is no exception to this. Different standards and references have become widely coveted management tools in several areas, including that of information and business process systems, logistics, quality and business operations. This is mainly due to the need for companies to have both the same level of understanding and practices, and also the same language thanks to new organisational configurations (network, supply chain). In operations, logistics, and supply chain management, there are many references because of practice and process variability that come from important environmental uncertainty. The main purpose of this paper is to deepen the reflection around these reference models aiming at having a structured and consolidated view. This offers a framework that highlights the influence of operations, logistics, and supply chain management practices in business.
  Keywords: reference model; logistics; operations; supply chain management; word web method.
  DOI: 10.1504/IJLSM.2022.10054400
   
  
• The Application of the ARIMA Model for Time Series Air Freight Forecasting  
  by Boutaina Hajjar, Omar Drissi Kaitouni 
  Abstract: In recent years, air freight has attracted vigorous attention among scholars due to its continuous growth and importance in decision making. Developing an accurate forecast for the air cargo market is essential for empowering planning processes and providing guidance for the air cargo industry's key stakeholders. Nevertheless, only a few research papers have been developed to tackle this topic. Hence, this study is devoted to applying the automated algorithm from the Autoregressive Integrated Moving Average (ARIMA) modelling to predict time series data of air cargo outbound in eight geographical regions. The experimental findings show good performance of the selected models to be used for accurate predictions. The goodness of fit of the candidates’ models is assessed based on different statistical key indicators. The results provide a useful prediction basis for the air cargo market and emphasize the future performance of air freight over the next years.
  Keywords: Air freight; Forecasting; ARIMA; Performance indicators; Time series.
  DOI: 10.1504/IJLSM.2023.10054578
   
  
• A new methodology for generating personalized routes for logistics in music festivals by considering time windows  
  by Denais Maya, Rodrigo Linfati, John Wilmer Escobar 
  Abstract: This paper considers the problem of generating personalised routes for people attending music festivals considering time windows. The objective is to maximise the attendees’ satisfaction by considering elements such as the desire to see some artists of a festival program, the time windows, and the distance between each stage. The proposed mathematical model determines which artists an attendee should see among the many options a music festival offer. The more satisfied an attendee is, the more readily they will return to the events, improving logistics in musical events. The proposed formulation is based on the well-known orienteering problem with time windows (OPTW). Instances (attendees’ preferences) are generated from a specific day of Lollapalooza Chile (2019), a festival with seven stages and 120 artists distributed over three days to test the efficiency of the proposed methodology. The results are prominent considering the diverse type of attendees.
  Keywords: music festival; logistic; combinatorial optimisation; scheduling; routing problems; time windows.
  DOI: 10.1504/IJLSM.2023.10054917
   
  
• Just in Time Inventory Model and Flexibility Outcome : Determinant of Production Procedure in Textile Firms in Lagos State  
  by Adedugba Adebayo, Olalekan Akinrinola, Daniel Inegbedion 
  Abstract: The study introduces the after-effects of an empirical examination and schematic model. It looks at the relationship between just in time inventory model and flexibility outcome in textile firms. Linear regression was utilised by the means of partial least square (PLS) to investigate the information gathered from 12 textile firms in Lagos State. The examination outcome affirms the effect of just in time inventory model on flexibility outcome in the context of deterministic production procedure. In addition, this study further demonstrates that the paradigm of just in time inventory model catalyses flexibility outcome to maximise productivity. Therefore, the study proposes that flexibility can be optimised utilising the just-in-time (JIT) inventory model as a platform to improve output.
  Keywords: textile firms; model; productivity; flexibility outcome; just in time inventory model; optimise.
  DOI: 10.1504/IJLSM.2023.10055031
   
  
• Location-Inventory-Routing Model for Vaccine Distribution Problem with Heterogenous Fleet  
  by Beste DESTICIOGLU TASDEMIR, Ahmed ?hsan SIMSEK, Erdinç Koç 
  Abstract: The study's model was developed under the presumption that the province of Elazig's vaccine distribution fleet is heterogeneous Vaccines were delivered to all demand points from both warehouses by vehicles with different capacities A mathematical model is proposed that aims to minimize the distance traveled Considering the characteristics of the vehicles used in the distribution, speed and working hours constraints were added to the model The proposed mathematical model for the distance constrained heterogeneous fleet vehicle routing problem has been implemented as two different central distribution centers There is only one kilometer difference between the total distance traveled by the vehicles delivering vaccines from Fethi Sekin State Hospital and the Provincial Health Directorate However, vaccine distribution activities can be carried out with two vehicles from the Provincial Health Directorate and
  Keywords: location-inventory-routing; mathematical model; routing problem; vaccine distribution.
  DOI: 10.1504/IJLSM.2023.10055074
   
  
• Digitalization in modeling: General framework on how Industry 4.0 will change the green supply chain model  
  by Sana Elhidaoui, Khalid BENHIDA, Srinivas Kota, Ahmed Lamalem, Said ELFEZAZI, Ismail Dribi Alaloui 
  Abstract: The understanding of the impact of the Industry4.0 (I4.0) on the supply chain (SC) has entered the spotlight. Indeed, several studies were conducted to analyze this relationship whether to demonstrate the gains of this technology on the SC, or to argue against the drawbacks of its adoption in the SC. In fact, the environmental dimension has further complicated the research in this matter. Therefore, the purpose of this research is to study the integration of the I4.0 in the green supply chain (GSC) modeling. Two methods are selected to deal with this objective, namely SWOT and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), using VISUAL PROMETHEE software. This study identifies the relevant alternatives that allow dealing with the threats and weaknesses, for the strengthening of the GSC modeling, and the best opportunities for the integration of I4.0. This research provides a general framework that would help researchers and practitioners in the future to address GSC modeling and the I4.0.
  Keywords: Supply chain; Industry 4.0; Green; Modeling; SWOT; PROMETHEE II.
  DOI: 10.1504/IJLSM.2023.10055082
   
  
• A mathematical model for a capacity reservation contract with backup sourcing  
  by Sidharath Joshi, Huynh Trung Luong 
  Abstract: The recent upsurge in disruptive events globally has emphasised the importance of resilience in supply chain management. In the current complex global environment, the need of strategic sourcing, fostering long-term relationships, implementing risk-sharing mechanisms, and ensuring mutually beneficial outcomes for all members of supply chain networks have gained significant attention. In this paper, we propose a capacity reservation contract for a supply chain network consisting of a retailer, a main supplier, and a backup supplier. This dual sourcing model serves as a reactive resilience strategy that balances the trade-off between flexibility and redundancy. The proposed model makes a valuable contribution to academic literature by providing unique optimal solutions for the reservation capacities of the retailer and the constructed capacities of the suppliers. Additionally, sensitivity analysis has been conducted to examine the robustness of the model and assess the impact of contract input parameters on the decision variables.
  Keywords: supply chain management; supply chain resilience; supply disruption; backup sourcing; supply chain contracts; capacity reservation contracts; mathematical modelling.
  DOI: 10.1504/IJLSM.2023.10055378
   
  
• Exploring horizontal collaboration in home delivery operations: A case of Greek grocery retailers  
  by ELENI ZAMPOU, Eleftherios G. Manousakis, Maria Argyropoulou, Dimitris Zissis Dimitris Zissis 
  Abstract: The emergence of online retail channels has reshaped the grocery market rendering home delivery a costly and barely sustainable process. Most grocery retailers fulfil home delivery with proprietary fleets. However, the associated expenses led many retailers to rethink their business model and consider synergies with competitors to implement a sustainable home delivery model. To that end, we propose a horizontal collaborative home delivery model as an operational alternative to reduce distribution costs and improve logistics efficiency. The proposed model is assessed in cooperation with two major Greek grocery retailers. Different operating scenarios using actual home delivery data are tested to evaluate the impact of collaboration and explore if better services, such as shorter time windows, are possible through collaboration. Our results indicate that, on average horizontal collaborative home delivery decreases the number of required routes and travelling time by 5.3% and 10.6%, respectively.
  Keywords: online grocery; last-mile; home delivery; horizontal collaboration.
  DOI: 10.1504/IJLSM.2023.10055379
   
  
• Two Omni-channel fresh food retailers from a supply chain perspective  
  by Wenzhou Wang, Junmin Yi 
  Abstract: Today, the advent of digital channels has changed the face of the retail business. This paper examines two omni-channel retail pioneers in China’s fresh food business: Hema Xiansheng and super species. Their supply chains are analysed under two models of hierarchies: strategically, there is an integration of channels, resources, service strategy, stores, and locations; tactically and operationally, the main focus is on their layout, warehousing, distribution, pickup, delivery, and technology. Their performance is compared and discussed, and the shortcomings are also identified. Finally, the future of these omni-channel innovations is predicted with a discussion of some findings and suggestions.
  Keywords: omni-channel; supply chain; fresh food; retail.
  
  
• A Hybrid Genetic Algorithm for Simultaneous Delivery and Pickup Vehicle Routing Problem with Time Window in Green Perspective  
  by Mst. Anjuman Ara, Ferdous Sarwar, Md. Tanvir Ahmed 
  Abstract: The problem of simultaneous pickups and deliveries vehicle routing problem with time window (VRPSPDTW) integrates forward and reverse logistics for optimizing cost with environmental consideration. The goal is to get the best routes that represent the least transportation cost for vehicles occupied by the route. The overall cost includes fixed cost, variable cost, penalties for being late, fuel cost from optimizing fuel usage, and cost associated with carbon emission which reduces energy consumption and pollutant emissions in the environment. This research develops a mathematical model for VRPSDPTW by using the traveling distance and the load of the vehicle for cost optimization. A hybrid genetic algorithm is developed to measure the performance of VRPSPDTW problem as well as genetic algorithm. The comparison shows that the hybrid genetic algorithm perform better than genetic algorithm in terms of the total cost of a vehicle.
  Keywords: Vehicle Routing Problem; Genetic algorithm; Hybrid Genetic Algorithm; Sweep algorithm; Iterated swap procedure.
  DOI: 10.1504/IJLSM.2023.10055558
   
  
• The Factors That Influencing to Use NFC Mobile Payment for Public Transport in Malaysia  
  by Noorsiah Ahmad, Nur Aqilah Zainordin, Nor Aziyatul Izni, Lee Kah Mun, Chong Kar Weng 
  Abstract: This study assesses the intention to use near-field communication (NFC) mobile payments on public transportation in Klang Valley, Malaysia. This study is to determine the public’s awareness and attitude towards the intention to use NFC mobile payment on public transportation in Kuala Lumpur, Malaysia. The methods of data collection are mainly through online questionnaires that have been distributed to the public that is currently living in Kuala Lumpur, of which a total of 333 respondents have been successfully collected. Once the data has been collected, SPSS software is utilised for the data analysis. The results showed that awareness and attitude significantly had relationships towards the intention to use NFC mobile payment on public transportation in Kuala Lumpur.
  Keywords: mobile payment; near-field communication; NFC; public transportation; logistic; awareness; Malaysia.
  DOI: 10.1504/IJLSM.2023.10055658
   
  
• The classification model of reverse logistics for halal chicken meat  
  by Yulita Veranda Usman, Anas Miftah Fauzi, Taufik Djatna, Tun Tedja Irawadi 
  Abstract: The study aims to propose the business process model (BPM) and the classification rules to recapture more halal value from returned halal chicken meat (HCM) for deciding the appropriate product recovery of returned halal chicken meat. The actors involved in reverse logistics activities of halal chicken meat are quality assurance staff, cold storage staff, collection centre staff, management of the slaughtering company, the truck driver of the logistics service provider (transporter), and the customer. The ranking of the class product recovery of returned halal chicken meat obtained consecutively are feed products (56.7%), disposal (33.4%), halal food products (8.8%) and repacking (1.1%). The three quality attributes of halal chicken meat that most affect the decision of product recovery option are odour (putrid), handling of halal product, and visual (physical) appearance. The decision tree generates 11 classification rules to support management in deciding the best product recovery of returned halal chicken meat.
  Keywords: reverse logistics; product recovery; business process modelling and notation; BPMN; classification model.
  DOI: 10.1504/IJLSM.2023.10056406
   
  
• Safeguarding Subcontractors in a Co-opetitive Outsourcing Context: The Competitive Dynamics Perspective  
  by Yu-Ching Chiao, Keng-Hsiang Cheng, Ville Isoherranen, Tzong-Ru (Jiun-Shen) Lee, Nirote Sinnarong, Yi-Hsiang Huang 
  Abstract: The purpose of this study was to examine the co-opetitive relationship between a focal firm and its subcontractors. We used the new developing concept of safeguarding tension to understand the antecedent and consequence relationship of the focal firm, while its subcontractors presented somehow competitive threats. Using the awareness-motivation-capability (AMC) perspective, an integrated research model was developed. With the fine-grained measures in terms of previous literature and case interviews, this study gathered 101 outsourcing samples of 17 focal firms to test proposed hypotheses by the hierarchical regression. The evidence shows that if a subcontractor has higher levels of organisational characteristics, competitive motivations, and absorptive capabilities, it will cause the focal firm’s safeguarding tension to increase. Furthermore, when a focal firm perceives higher safeguarding tension, it will exhibit higher levels of safeguarding aggressiveness. The results of this research explain safeguarding tension and its related concepts, as well as filling in gaps in the co-opetition and subcontractor management literature. It also provides a direction for how to best manage the relationship with subcontractors.
  Keywords: subcontractor management; safeguarding tension; safeguarding aggressiveness; competitive dynamics; awareness-motivation-capability perspective.
  DOI: 10.1504/IJLSM.2023.10056409
   
  
• Loading and Multi-trip Routing Problem Using Hierarchical Ant Colony Optimization Algorithm.  
  by Luan Tieu, Anh Truong, Hop Nguyen 
  Abstract: In this paper, we formulate the loading and routing problem as a new mixed-integer programming model with multi-trip routing and loading constraints. The objective is to minimise the total costs of delivery and outbound cross-docking operations and delivery. We also modify an ant colony optimisation algorithm to a so-called four-level ant colony optimisation heuristics (FLACO) to search for the best loading and routing solution in hierarchical levels of trips, trucks, periods, and routes. At each level, the ACO parameters are updated iteratively to process the problem constraints. The case of a large dairy company in Vietnam is used to validate the proposed model and FLACO. The FLACO could give as close as about 2.46% to the optimal solution and outperform the genetic algorithm for small-sized and large-sized problems, respectively.
  Keywords: loading; vehicle routing problem; ant colony optimisation; ACO.
  DOI: 10.1504/IJLSM.2023.10056436
   
  
• Aircraft Cargo Loading Planning: A Systematic Literature Review  
  by Ali Osman Kusakci, Mahat Ibrahim, Baboucarr Mbowe, Berk Ayvaz, Erdem Ağbaş 
  Abstract: Air cargo has become one of the most important means of transportation. This importance is currently being reinforced by the outbreak of the COVID-19 pandemic, which has dried passenger traffic to historic low levels. As a result, airline companies have turned on air cargo as the lifeblood to keep their operations running. However, the process of loading cargo on cargo aircraft is a complex task carried out by experts called loadmasters. It requires hands-on experience because the correct loading affects the balance and fuel performance of the aircraft. The problem in the literature is referred to as the air cargo load planning (ACLP) problem. In this research, we employed a systematic literature review framework that clusters the existing relevant literature into their respective solution approaches and presents a more transparent idea about the state of the current literature, the gaps, and the shortfalls of various solution methodologies.
  Keywords: air cargo load planning; ACLP; heuristics; integer programming; load and balance problem; palletising.
  DOI: 10.1504/IJLSM.2023.10056634
   
  
• Greening livestock supply chains: a conceptual framework from an empirical study in Vietnam  
  by Canh Lam Nguyen, Anh Van Nguyen 
  Abstract: This paper aims to examine and conceptualize the greening practices of livestock supply chains. Based on a qualitative approach over a purposive sample in Vietnam, we explore the current green supply chain practices in the livestock industry and provide an understanding of the challenges companies face. Subsequently, data is analyzed using qualitative content analysis before an integrated framework is proposed to conceptualize and provide guidelines for companies in the livestock industry when considering adopting green practices. The framework is developed from both supply chain and organizational approaches. The former includes all stages in the livestock supply chains from sourcing to consumption, while the latter highlights three critical prerequisites for successful implementation: resource recovery, efficiency improvement, and environmental handling. Implications for managers and policymakers are presented accordingly to provide suggestions on the focused area for improvements.
  Keywords: livestock; green supply chain management; Vietnam; qualitative; animal-based product; supply chain; GSCM; empirical; interview; content analysis.
  DOI: 10.1504/IJLSM.2023.10056664
   
  
• An integrated approach for three-layer location-allocation in a green supply chain  
  by Reza Eslamipoor 
  Abstract: Controlling greenhouse gas emissions across the supply chain network is a significant issue for businesses today. However, the complexity of green supply chain concerns makes it crucial to present a model that can be effectively addressed. In this research, factories, warehouses, and retailers are investigated as a three-level supply chain network. The proposed model seeks to reduce the overall cost of the system while also cutting down on gas emissions. With this model, we propose using the multi-objective goal programming approach as a solution technique. Results from the epsilon constraint approach and the sensitivity analysis of the required parameters have been compared to validate the efficacy of the suggested method. According to the findings, the amount of pollution generated by each facility is proportional to the requested quantity, and the travelled distance of vehicles.
  Keywords: green supply chain; environment; gas emission; location.
  DOI: 10.1504/IJLSM.2023.10056746