Forthcoming articles

International Journal of Logistics Systems and Management

International Journal of Logistics Systems and Management (IJLSM)

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International Journal of Logistics Systems and Management (96 papers in press)

Regular Issues

  • Exploring the factors that drive Use of Self-Service Technologies in Air-travel in an African country   Order a copy of this article
    by Benjamin Agyei-Owusu, David Asamoah, Grace Birago Asenso 
    Abstract: Self-service technologies (SSTs) refer to technological interfaces that enable customers to produce a service independent of direct employee involvement. The use of SSTs in air-travel in African countries has seen remarkable growth in recent years, yet little is known about the factors that account for this. Using the unified theory of acceptance and use of technology as a theoretical lens, this study examines the factors that drive both behavioural intention to use and actual usage behaviour of three SSTs used in air-travel (self-booking, self-ticketing and self-check-in) in an African country. Data was obtained from 250 international air travellers in Ghana. Findings of the study revealed that social influence, facilitating conditions, and effort expectancy significantly impact behavioural intentions towards the use of air-travel SSTs. Also, behavioural intentions, user satisfaction and facilitating conditions were found to significantly impact SST usage behaviour. The study concludes by discussing the implications for research and practice.
    Keywords: Self-service technologies; SSTs; Unified Theory of Acceptance and Use of Technology; UTAUT; air-travel; Africa.
    DOI: 10.1504/IJLSM.2020.10023298
     
  • Distance Metrics Matter: Analysing Optimisation Algorithms for the Last Mile Problem   Order a copy of this article
    by Jay Brown, Maxim Bushuev, Alfred Guiffrida 
    Abstract: This research compares and contrasts the performance of 11 optimisation algorithms and two new combined optimisation algorithms for solving the last mile delivery problem. The last mile delivery problem is modelled as a circular region with a central depot and customers randomly distributed throughout the region. The performance of the optimisation algorithms is studied with respect to expected travel distance and computation time needed to achieve a solution for problems with varying numbers of customers and where travel distance is measured with Euclidean and Manhattan distance metrics. The paper represents the first analytical comparison of different algorithms for optimising last mile delivery when the number of customers varies stochastically under both Manhattan and Euclidian distance metrics. Findings show that the number of customer deliveries and the metric used to measure travel distance impacts a decision maker's choice of the best algorithm and that employing multiple algorithms is recommended.
    Keywords: last mile problem; supply chain optimisation; algorithms; heuristics; Manhattan distance.
    DOI: 10.1504/IJLSM.2020.10023787
     
  • Simulation-based optimisation of replenishment policy in supply chains   Order a copy of this article
    by Tomasz Wi?niewski, Rafa? Szyma?ski 
    Abstract: Classic replenishment strategy may no longer be effective due to the increasing complexity of supply chains. The article presents the problem of inventory management while presenting a practical methodology for supporting inventory replenishment decisions in order to reduce maintenance costs. Therefore, the possibility has been shown of using simulation modelling of the supply chain. The aim of the article is to present the methodology, using computer simulation with optimisation, of searching for the optimal strategy of replenishment of stocks in supply chains, especially when there is a problem of uncertainty of the demand. A case study was presented
    Keywords: supply chain; replenishment strategy; optimization; simulation modelling.
    DOI: 10.1504/IJLSM.2020.10023792
     
  • Mixed contracts for supply chain management based on newsvendor problem by including real option and classic contract with continues demand   Order a copy of this article
    by Mahdi Shafiei, Mohammad Modarres Yazdi 
    Abstract: In this article, we study a newsvendor contracting framework based on real option under continuous stochastic demand. We consider a mixed contract in which the retailer is allowed to order a portion of the product he/she needs, q units, under the influence of the classic newsvendor conditions and Q real options of the same product, to satisfy the rest of her need. We develop a closed form solution for the problem according to the fact that demand is continuous and discussed some its features. In this regard, we illustrate that the outcome of the mixed contract is better, compared to pure real option contract, or classic newsvendor contract.
    Keywords: Supply chain management; Real option; Newsvendor problem; Mixed contract.
    DOI: 10.1504/IJLSM.2020.10023812
     
  • Fuzzy bi-objective inventory-routing problem for blood products in a hospital network during disasters: two multi-objective meta-heuristic approaches   Order a copy of this article
    by Mohamad Mehdi Lotfi, Mohammad Hajibabaie 
    Abstract: Post-disaster inventory-routing problem consisting of a blood products' supplier and a set of hospitals is investigated. With respect to the different scenarios of roads' availability, the goal of proposed model is to establish a trade-off between the minimisation of total costs and total delivery time of blood products. Due to the criticality of platelets and red blood cells in disasters, only these two perishable items are addressed. The shortage and wastage costs are predicted based on the conformity measures of patient and donator. The demands are considered as a set of fuzzy numbers due to the lack of sufficient precise data. The model is solved exactly using ?-constraint; however, for large-sized problems, two meta-heuristics, i.e., NSGA-II and MOSA are developed. Comparing the results of NSGA-II and MOSA to those of ?-constraint confirms the efficiency of solution algorithms. Moreover, NSGA-II outperforms MOSA regarding the solution quality; but, MOSA needs fewer computational efforts.
    Keywords: Disaster; Blood; Inventory-routing problem; ?-constraint; NSGA-II; Multi-objective simulated annealing.
    DOI: 10.1504/IJLSM.2020.10023877
     
  • Reducing Post Harvest Losses of Fruits and Vegetables through Supply Chain Performance Evaluation: An illustration of the application of SCOR Model   Order a copy of this article
    by PHILIP KOFI ALIMO 
    Abstract: Previous research revealed many causes of postharvest losses of food along the value chain. This study illustrates the application of the SCOR model's performance metrics in evaluating the performance of the supply chain of fruits and vegetables towards reducing losses. The results of the experiment shows that the reliability, responsiveness and agility performance of the supply chain is a reflection of the rate of quantitative and qualitative losses as well as the ability to deliver orders within the customer-commit dates. These ultimately determine the value of returns on capital and supply chain fixed assets. The performance scores have also been attributed to the management processes and practices. The implication is that, the economic value of losses along the value chain is a reflection of decision making and had a direct link with the profitability of the company. SCOR is therefore recommended to all fruit and vegetable supply chain managers.
    Keywords: Keywords: postharvest losses; fruits and vegetables supply chain; SCOR Model; performance evaluation.
    DOI: 10.1504/IJLSM.2020.10023883
     
  • Multi-item two warehouse inventory model for deteriorating item under partial credit period via Contractive Mapping Genetic Algorithm and PSO   Order a copy of this article
    by Ashoke Kumar Bera, Dipak Kumar Jana, Debamalya Banerjee, Titas Nandy 
    Abstract: Present study proposes a two warehouse ordering policy for multi product, deteriorating items when demand is stock and selling price dependent. It is assumed that the supplier offers a full and partial trade credit for a certain fixed period to entice more customers. Retailer has own warehouse (OW) W1 of finite capacity at the central location in the city and a rented warehouse (RW) W2 of infinite capacity situated just outside the city. Units are continuously transferred from warehouse W2 to warehouse W1 and sold from warehouse W1. The objective of this work is to maximise the profit for different models by using contractive mapping genetic algorithm (CMGA) and particle swarm optimisation (PSO). The order quantity, selling price and refilling point at the first warehouse are considered as the decision variables to maximise the objective. mathematical models are formulated by using two heuristic techniques and illustrated with a numerical example.
    Keywords: Multi-product; Two warehouses; stock dependent demand; Deterioration; Permissible delay in payment; Contractive Mapping Genetic Algorithm; Particle Swarm Optimization.
    DOI: 10.1504/IJLSM.2020.10023936
     
  • A robust optimization approach for designing a multi-echelon, multi-product, multi-period supply chain network with outsourcing   Order a copy of this article
    by Mohamad Sadegh Sangari, Samaneh Moradi 
    Abstract: This paper addresses the problem of designing an integrated multi-echelon, multi-product, multi-period supply chain network under uncertainty in which products can be outsourced to improve responsiveness and the overall performance. The network consists of production plants, distribution centres, and retailers. The demands of retailers, production capacities, and transportation costs as well as costs of opening distribution centres are subject to uncertainty. A deterministic mixed-integer linear programming (MILP) model is developed with the objective of minimising sum of the fixed, transportation, and outsourcing costs. In order to capture the uncertainties, a robust optimisation model is proposed. A set of numerical experiments using nominal and realisation data is investigated and the relative performance of the robust and deterministic models is compared based on the standard deviation and mean of the objective function values. In case of data realisation, results confirm that the proposed robust model outperforms the deterministic counterpart.
    Keywords: Supply chain network design; Outsourcing; Robust optimization; Mixed integer linear programming (MILP).
    DOI: 10.1504/IJLSM.2020.10023949
     
  • Product Mix Decisions with Complete Shipment and Multiple Physical Resources as Constraints   Order a copy of this article
    by Neeraj Bhanot, Ajay Gupta, Arvind Bhardwaj 
    Abstract: Over the last three decades, the theory of constraints (TOCs) has emerged as a complete management philosophy. Fox extended the application of TOC to the product mix situations and suggested the theory of constraints heuristics (TOChs). This algorithm was applicable to single constraint situations only and later, Fredendall and Lea (1997) modified it to revised theory of constraints heuristics (RTOChs) for multiple constraint situations. Neither of these heuristics is applicable to the situations where complete shipment to different customers is an additional constraint over and above the physical constraints. In this paper, some modifications are suggested in RTOCh proposed by Fredendall and Lea (1997). By applying these modifications, the heuristics can be used in the complete shipment constraint situations. The working of this modified heuristics has been explained by taking two illustrative examples. By comparing the results obtained from the proposed heuristics with those obtained from the integer linear programming model, it has been proved that the heuristics give satisfactory results. Since the proposed heuristics provides the sequence of manufacturing, the effect of contingencies on actual output will be minimum. Ease of usage and better actual output are the advantages of proposed heuristic over integer linear programming.
    Keywords: Product Mix; Complete Shipment; Multiple Physical Resources; Theory of Constraints; Theory of Constraints Heuristics (TOCh); Integer Linear Programming.
    DOI: 10.1504/IJLSM.2020.10023950
     
  • Entry and Governance Modes in International Franchising: A case study   Order a copy of this article
    by Vanessa Pilla Galetti Bretas, Thelma Rocha, Renata Galhanone, George Bedinelli Rossi 
    Abstract: This paper analyses the entry and governance mode choices in the internationalisation process of a Brazilian franchisor. The study investigates the factors that helped this company, a supplier of fibreglass swimming pools, to achieve fast international growth and become one of the most internationalised Brazilian franchisors with presence in 40 foreign countries. Six interviews were conducted with the CEO/Founder, two directors and three experts from franchising associations (ABF and IFA). The analysis showed that this franchisor’s fast internationalisation process was due to trust, relationships and network building, factors that impacted its entry and governance mode choice in the foreign countries. The partnerships established with local players influenced the choice of the governance mode. This study may contribute to decision making in international franchising by showing the relevance of trust, local relationships and business networks for the internationalisation of franchise chains, considering the uniqueness of each foreign market.
    Keywords: International franchising; Governance modes; Market entry modes.
    DOI: 10.1504/IJLSM.2020.10023954
     
  • Adaptive Synchronization of Supply Chain System using Sliding Mode Control   Order a copy of this article
    by Hwan-Seong Kim, Xiao Xu, Sam-Sang You 
    Abstract: This paper addresses a chaos synchronisation problem in a three-echelon supply chain system. A parameter adaptation law is designed to deal with the influence of unknown parameters and system perturbations for the supply chain system. Based on Lyapunov stability theory, the sliding mode control synthesis with parameter update law provides its ability on driving the trajectories of supply chain system to the master system. The simulation results show that the adaptive sliding mode controller enables to synchronise the supply chain system with master system asymptotically and how information and materials flow between business entities and processes. The active supply chain management using control theory makes business organisation more flexible, and all participants in business enterprises can certainly adjust to new market trends and easily cope with market instabilities.
    Keywords: Chaos synchronization; Supply chain system; Adaptation law; Lyapunov stability; Sliding mode control.
    DOI: 10.1504/IJLSM.2020.10023974
     
  • Shopper Attitudes about Privacy and the Likelihood of Disabling an RFID Tag   Order a copy of this article
    by Ronald B. Larson , Bruce G. Ferrin 
    Abstract: Successful omnichannel retailing of consumer goods will probably require item-level RFID tags. Consumer concerns about privacy may limit implementations of item-level tagging and slow omnichannel growth. This study tests consumer reactions to a tag that can be disabled by customers after purchase. Two surveys examined relationships between support for and use of this type of RFID tag and privacy concerns, demographics, and behaviours. Many of the expected relationships were not found, suggesting that simply placing this type of tag on products is unlikely to significantly ameliorate privacy concerns. Targeted communications at individuals in specific segments (e.g., those nervous about new technologies, those actively involved in an organised religion, etc.) that explain the technology and reassure consumers may complement the adoption of these special RFID tags and help overcome the barrier created by privacy concerns.
    Keywords: Radio frequency identification; Omnichannel retailing; Privacy; Technology anxiety; Religiosity; Disabled RFID tag.
    DOI: 10.1504/IJLSM.2020.10023984
     
  • Traffic Time Series Forecasting on Highways - A Contemporary Survey of Models, Methods and Techniques   Order a copy of this article
    by JAYANTHI GANAPATHY, Jothilakshmi P 
    Abstract: Transportation research is dynamic and essential engineering prospect of all nations across the globe. Recent developments in intelligent transport systems (ITS) have established software system enabled transportation infrastructure to the public using which traveller information service and hassle free transport have become the prime objective of the transport industry. At present, innovation in technology driven infrastructure planning in transportation management is highly demanded research prospect in the area of intelligent transportation systems and services. Research effort towards development of ITS with statistical and machine learning (ML) approaches applied in time series analysis for traffic forecasting is enormous. But, the outcome of such researches is still under refinement considering various practical difficulties. Hence, the objective of this survey is to present a detailed insight on evolution of traffic time series forecasting with broad classification of methods and detailed summary of their results. Finally, comprehensive review results are presented with directions to address the research challenges.
    Keywords: Short term traffic prediction; Traffic operations; Parametric; Non-Parametric; Machine learning technique; Data Mining.
    DOI: 10.1504/IJLSM.2020.10024052
     
  • An exploratory study on logistician professional competencies: the case of Lithuanian logistics companies   Order a copy of this article
    by Neringa Vilkaite-Vaitone 
    Abstract: The main aim of the study is to provide a general understanding of the current competence requirements for specialists working in Lithuanian logistics sector. A review of literature on logistician competences was combined with a quantitative survey. A sample of 486 logistics specialists was chosen for a questionnaire research. The results indicated that the most important competences of logisticians are planning, quality assurance and customer relationship management. Obtained results are partially consistent with the results of researches made in the same geographical region. Results of the research of logistician competences in Lithuanian logistics companies suggested that there exist significant differences between importance of competences and gender, education, position of logistician, company's capital origin and number of employees. These findings provide considerable insights to managers and educators of logisticians: it might be useful to differentiate the strengthening of logistician competences in reference to demographical, professional and organisational characteristics.
    Keywords: Competence; professional competence; logistician; planning; quality assurance; customer relationship management.
    DOI: 10.1504/IJLSM.2020.10033166
     
  • An Elastic Constraint Method for a Multi-objective Production-Distribution Planning Problem with Competition   Order a copy of this article
    by Hamed Rafiei, Fatemeh Safaei, Masoud Rabbani 
    Abstract: Competition is one of the most important topics in supply chain management and it is considered widely in the last decades. This study aims to evaluate effects of Stackelberg and Cournot competition on integrated production-distribution (P-D) planning problem. Minimising cost and maximising satisfaction of service level are considered as two main objective functions then two competitive objective functions are developed within considered competitions. The presented competitive P-D model is totally unimodular and this feature makes the model to generate integer solutions without circumstance of integrality. Next, elastic constraint method is adopted to solve the developed competitive multi-objective model. Finally, numerical examples are conducted to evaluate capability of the proposed approach. According to the structure and assumptions of the proposed model, competition can increase cost of supply chain.
    Keywords: Cournot competition; elastic constraint method; Production-Distribution planning; Stackelberg competition.
    DOI: 10.1504/IJLSM.2020.10024553
     
  • Joint optimisation of replenishment policies on a downstream multi-echelon, multi-product pharmaceutical supply chain with lost sales, stochastic demands and storage capacity constraints: centralised vs. decentralised structure   Order a copy of this article
    by Saâdia Khoukhi, Chakib Bojji, Yahya Bensouda 
    Abstract: This paper presents a methodology to enhance the performance of inventory management for a real case of a multi-echelon multi-product pharmaceutical supply chain at university medical center in Morocco. The speci c problem addressed in this paper is a comparison of a decentralized structure with a centralized one, in comparing both systems we focus on non-essential items. We consider a stochastic demand, emergency orders, in addition to some constraints related to health care environment such limited storage capacity, order frequency, and a high service level.The two structures are modeled and an iterative procedure based on Monte Carlo is developed. Numerical analysis revealed that the centralized structure yields not only in cost savings but also ameliorate the quality of care service.
    Keywords: Pharmaceutical supply chain. Replenishment policy. Inventory control. Monte Carlo. Drug shortages.
    DOI: 10.1504/IJLSM.2020.10024566
     
  • An Inter-Organizational Decision Support System for Global Supply Chain Management   Order a copy of this article
    by Hokey Min 
    Abstract: The success of global supply chain management often rests on the information sharing capabilities of trading partners in the global business network. As such, inter-organisational collaboration, which can facilitate cross-organisational information sharing, is essential for global supply chain management. To enhance inter-organisation collaboration, multinational firms (MNFs) should nurture corporate culture that encourages the real-time exchanges of business intelligence about foreign markets and customer behaviours through a series of information and communication technology (ICT). One of the useful tools for creating such culture is an inter-organisational decision support system (IODSS) that can coordinate and synchronise the flow of information across the global supply chain, while increasing business intelligence capabilities. As such, today's DSS should undergo dramatic metamorphoses on a global scale. This paper synthesises the evolution of IODSS over the last few decades, develops a basic architecture of IODSS, and then suggests practical guidelines for its successful implementation in global business environments.
    Keywords: inter-organizational decision support systems; global supply chain management; business intelligence.
    DOI: 10.1504/IJLSM.2020.10024635
     
  • The Multi-Vehicle Traveling Purchaser Problem with Priority in Purchasing and Uncertainty in Demand   Order a copy of this article
    by Zahra Hasanpour Jesri, Kourosh Eshghi 
    Abstract: The multi-vehicle travelling purchaser problem with priority in purchasing (MTPP-PIP) is a new variant of the classic travelling purchaser problem (TPP) in which the set of products is divided into different priority groups. The purpose of this article is to find the least cost cycles in which each product should be purchased according to its predefined priority. To fit the model with the real world further, multiple purchasers (multi-vehicle) and uncertainty in the products demands are assumed. In this paper, a mathematical programming formulation is developed based on a clustered supplier graph whereby the suppliers are categorised into different clusters according to their corresponding products. A genetic algorithm is also proposed to solve the model drawing on a multi-feature chromosome. The efficiency of the genetic algorithm has been tested over a modified set of instances against the benchmark of an asymmetric TPP.
    Keywords: Traveling purchaser problem; priority in purchasing; clustered supplier graph; multi-vehicle; demand uncertainty; genetic algorithm.
    DOI: 10.1504/IJLSM.2020.10024648
     
  • Performance analysis and organization of a supply chain Case study of butane import at Mohammedia port.   Order a copy of this article
    by Ahmed Loukili, Fatima Ezzahra CHERQAOUI, Saad Lissane Elhaq 
    Abstract: The globalisation of markets results in economic and demographic development generating exponential energy needs, which increase global consumption of butane. Transportation is quite costly. Maritime transport is the logical consequence of a sales contract and a charter contract. The optimisation of butane transit must consider these two contracts. The complexity of transit operations and the conflicts of interest require better organisation, strategic choices and measured orientations. However, the performance level of stakeholders logistics chain impacts on the overall performance of the port. The motivation of this work is to clarify the problematic of butane transit, share knowledge and information, analyse the specific needs of stakeholders and specially to identify the errors. Our proposed approach is based on the analysis of surveys carried out with business leaders. The objective is to develop recommendations and an action plan to better organise the butane chain in relation to the disruptions associated to this activity.
    Keywords: Maritime transport; butane logistics chain; Transit cost of butane; port infrastructure; Management & strategic position; Safety stock; performance improvements.
    DOI: 10.1504/IJLSM.2020.10024651
     
  • Role of automotive engineering changes in an emerging market   Order a copy of this article
    by Balakrishnan AS, Jayshree Suresh 
    Abstract: This paper examines the impact of automotive engineering changes (ECs) on the new product development (NPD) performance in the emerging market of India. For the purpose of measurement, an integrated framework is developed and applied. The framework consists of four constructs significance of ECs, ECs involvement with NPD, ECs influence on material planning and logistics (MP&L) deliverables in NPD and overall NPD project performance. The study involved a total of 249 automotive engineers and managers from original equipment manufacturers (OEM) and suppliers of the automobile market. Research outcome presents that the impact of ECs in overall NPD project performance. The paper also presents the scope, limitations, and conclusions of the study as well as the implications for future research.
    Keywords: automotive; emerging market; engineering change; new product development; material planning and logistics; original equipment manufacturers; India.
    DOI: 10.1504/IJLSM.2020.10024652
     
  • Multicriteria optimisation under the conditions of uncertainty in logistics and supply chain management   Order a copy of this article
    by Ivan Shidlovskii, Gennadiy Brodetskiy, Denis Gusev 
    Abstract: The purpose of this paper is to research multi-criteria decision-making optimisation problems of logistics systems and supply chains considering conditions of uncertainty. The article presents an approach that allows adapting the procedures of multi-criteria optimisation to the format of conditions of uncertainty. This approach is relevant for the situation when a manager does not have reliable estimates for the probability of random events and cannot use decision-making methods under risk conditions. The study proposes the synthesis of optimisation procedures, including the format of the multiple criteria decision-making theory and the format of procedures developed in the theory of decision-making in conditions of uncertainty. The specifics of this approach and algorithm for optimising such solutions are presented according to the inventory management problem.
    Keywords: choice at many criteria; uncertainty in logistics; supply chains risk management; synthesis of selection procedures at many criteria and procedures in conditions of uncertainty; inventory management.
    DOI: 10.1504/IJLSM.2020.10024923
     
  • Key decision-making areas of automotive engine remanufacturing: a case study   Order a copy of this article
    by Kaustov Chakraborty 
    Abstract: With the rapid change in technology and customisation of the product often lead to a shorter product life cycle. The shorter life cycle of the product demands the recovery of the remaining usable value from the end-of-life or end-of-use product. Remanufacturing operation is considered as the best recovery operation because the quality and warranty of the remanufactured product are 'as same as' the new product. Remanufacturing operation is successfully executed in developed countries, whereas the remanufacturing scenario in developing countries like India is not so organised. Thus, an exploratory study related to the remanufacturing process is required in the Indian context. The objective of this paper is to study the remanufacturing process and various key operational aspects of remanufacturing such as used product acquisition, reverse logistics, marketing of the remanufactured product in the Indian context. Further, the SWOT analysis is also performed.
    Keywords: Product Recovery; Remanufacturing; Product lifecycle; Case study.
    DOI: 10.1504/IJLSM.2020.10024924
     
  • Modeling Incentive Policy on Truck Sharing Economy Concept: Current State and Literature Review   Order a copy of this article
    by Batara Parada Siahaan, Togar M. Simatupang, Liane Okdinawati 
    Abstract: The purpose of this study is to prioritising and identifying existing studies and literature of the truck sharing economy concept and finding literature gap on the sharing economy concept in general. The literature classification was conducted by adopting the framework of classification based on the context of the study, intervention of study implication in practical, and the methodology. Existing literature indicates that the discussion of sharing economy topics have been carried out from the perspective of social problems that arise in transportation. This research identified that there are gaps in the existing studies such as a very limited study of truck sharing economy where the discussion about truck sharing related has been limited to challenges and technical problem. There is also a strong indication that modelling-based approach both in micro and macro perspective such as system dynamics and agent-based modelling have not been considered widely on this context topic research.
    Keywords: sharing economy; literature review; truck collaboration; truck sharing.
    DOI: 10.1504/IJLSM.2020.10024934
     
  • TACTICAL SUPPLY CHAIN PLANNING SUPPORTED IN A GRASP/MIP HEURISTIC   Order a copy of this article
    by Rafael Guillermo García-Cáceres, Maria P. Ramirez-Tovar, Juan Pablo Caballero-Villalobos, Gonzalo Mejía-Delgadillo 
    Abstract: The current work develops a MIP model for the planning of shipping and disembarking operations in a distribution centre that receives products from a production plant, Auxiliary stores and foreign suppliers. The objective is to minimise the costs of the logistic chain. The constraints affecting the operation of the distribution centre are product storage capacity and product handling in cargo reception and unloading docks. Then, a sensitivity analysis is conducted to determine the incidence of key parameters on the operation costs of the system and to identify efficient operation conditions. Finally, a statistical analysis of the solution procedure as applied to the problem allows assessing not only small scale gap and CPU times, but also medium and large scale CPU times.
    Keywords: Tactical supply chain planning; distribution center planning; meta-heuristics; hybrid optimization methods.
    DOI: 10.1504/IJLSM.2020.10024954
     
  • Stage-wise Responsiveness in Supply Chain: Reference from Indian Garment Industry   Order a copy of this article
    by Siddharth Rai, Debabrata Das, Kunal Ganguly, Sunil Giri, Sanjay Kumar Mishra 
    Abstract: This study aims at presenting a holistic view of supply chain responsiveness by simultaneously considering responsiveness at three stages, i.e., supplier responsiveness, downstream responsiveness, and logistics responsiveness. It applies structural equation modelling to study the impact of collaboration, visibility, resilience, sourcing flexibility and order fulfilment flexibility on stage-wise responsiveness in the supply chain. Findings reveal that only collaboration, sourcing flexibility, and order fulfilment flexibility significantly affect the logistics responsiveness. Resilience, sourcing flexibility, and order fulfilment flexibility significantly affect the downstream responsiveness. However, the relationship between determinants and supplier responsiveness is not significantly justified. It may be because of inadequate logistics infrastructure, limited information sharing and narrow collaborative format among Indian companies.
    Keywords: Supply chain responsiveness; supplier responsiveness; downstream responsiveness; logistics responsiveness; garment supply chain; India.
    DOI: 10.1504/IJLSM.2020.10024971
     
  • Maximising net present EVA for the design of a supply chain network using a hybrid analytical-simulation algorithm   Order a copy of this article
    by Navee Chiadamrong, Nualwon Cha-ume 
    Abstract: This study applies a hybrid analytical-simulation algorithm to obtain the optimal design of the supply chain network under realistic operating conditions subject to uncertainties. The objective of this study is to maximise the net present economic value added (EVA) of the whole supply chain network where the value creation of a business is to be measured under the time value of money. Since an analytical model may have some limitations, the simulation model is used to simulate and exchange the outputs between the models for better value creation in the network system under uncertainties. The result suggests that by applying such a hybrid analytical-simulation algorithm to the problem, the obtained result shows a significant improvement of the net present EVA while using a shorter solving time with a faster convergence rate in achieving the optimal value, as compared to the result suggested by the traditional simulation-based optimisation model.
    Keywords: Optimization;Hybrid analytical-simulation algorithm;Supply chain Network design;Net present EVA.
    DOI: 10.1504/IJLSM.2020.10025104
     
  • How accurately do experts perceive the effectiveness of urban freight transportation solutions in medium-sized cities?   Order a copy of this article
    by Eftihia Nathanail, Ioannis Karakikes 
    Abstract: This study demonstrates and implements a holistic evaluation framework to investigate the convergence of experts opinion towards implementing urban freight transportation solutions (policies and techniques) with recorded solutions impacts, at medium-sized cities. The framework is formulated based on a multicriteria evaluation approach by considering sustainability disciplines (economy, environment, mobility, society) and enablers (solution maturity, social acceptance, user uptake). Enablers represent the readiness of the city to adopt a solution and promote its successful operation towards sustainability. Results show that the two data sources produce different results about the performance level of the same solutions, but in some cases comparable level of improvement. When considering also the enablers in the assessment, the results of the two data sources tend to diverge less. The findings of this paper contribute in a better understanding of the performance results of urban freight transportation solutions, based on experts perceptions on a multidisciplinary set of evaluation parameters.
    Keywords: City Logistics; Last Mile Delivery; Decision Making; Sustainability Disciplines; Multicriteria Evaluation; Stakeholder Survey; Performance; Impact Assessment; Metadata Analysis.

  • Green Supply Chain Barriers Analysis using Interpretive Structure Modelling (ISM)   Order a copy of this article
    by SHEETAL SODA, Dr.P.K.Mishra Mishra, Krishnakant Dhakar, Abhay Singh 
    Abstract: Industrialisation plays a major role in economic development, infrastructure, growth and prosperity of any country. But these industries are affecting our environment so badly which causes global warming, greenhouse effect, ozone layer depletion, acid rain, pollution etc. Due to these threats green supply chain management (GSCM) comes into picture. GSCM offers a possible solution to the problem by containing the pollution and losses considerably, thus affecting the overall operational efficiency of the practicing firm. This research paper makes an attempt to assess the barriers that were identified from extensive literature review and opinions invited from industry-experts that impede implementation of GSCM. A hierarchy-based model was presented with the application of interpretive structural modelling (ISM) technique to identify contextual relationships among the identified barriers. Out of 12 barriers mainly three barriers are found to be significant.
    Keywords: Supply Chain Management; Barriers; Interpretive Structural Modelling (ISM).
    DOI: 10.1504/IJLSM.2020.10025356
     
  • A Multiple Ant Colony System with Random Variable Neighborhood Descent for the Vehicle Routing Problem with Time Windows   Order a copy of this article
    by Orivalde Soares Da Silva Junior, Jose Eugenio Leal 
    Abstract: This paper proposes hybrid heuristics that use the multiple ant colony system (MACS) and random variable neighbourhood descent (RVND) algorithms to solve the vehicle routing problem with time windows (VRPTW). This problem involves determining the minimum-cost routes for a fleet of vehicles of the same capacity to visit a set of customers within a specified time interval, called a time window. The proposed heuristic, called MACS-RVND, uses two ant colonies to reduce the number of vehicles and the total distance travelled, and a RVND algorithm is used in the local search procedure. The algorithm was tested using standard benchmark problems in the literature and produced competitive results. The use of the RVND algorithm improved the MACS-VRPTW algorithm.
    Keywords: vehicle routing; ant colony optimization; random variable neighborhood descent; delivery service.
    DOI: 10.1504/IJLSM.2020.10025364
     
  • Commitment as a buyer-supplier antecedent for supply chain sustainability   Order a copy of this article
    by Aletta Tolmay, Sumei Van Antwerpen 
    Abstract: The South African automotive industry is an important sector that contributes substantially to the country’s economy. The sustainability of local suppliers within South African automotive supply chains is under threat because of global pressures, especially competition from low-cost countries. Increased pressure leads to conflict between international buyers and local suppliers. The result is strained relationships, causing lower levels of commitment, often increasing risk and threatening the sustainability of local suppliers. The aim of this study was to determine whether commitment as an antecedent within supply chains exists and whether such a precursor has an effect on sustainability within South African automotive supply chains. The study found, through the application of a linear regression model, that commitment could potentially contribute to vital supply chain sustainability in South Africa. The results point automotive component suppliers towards investing in a relational governance strategy to enhance buyer commitment and thus contribute to business sustainability.
    Keywords: Commitment; sustainability; South African automotive supply chains; Supplier relationships.
    DOI: 10.1504/IJLSM.2020.10025817
     
  • The Effect Of Halal Retail And Manufacturing Technology Readiness On Halal Meat Logistics Performance   Order a copy of this article
    by Ferry Jie, Ilyas Masudin, Hadrian G. Djajadikerta 
    Abstract: Although research related to the readiness of employees to adopt technology and its influence on performance logistics have been conducted quite a lot, its application in a halal logistics perspective is very rarely done. This study investigates the relationship between the readiness of employees to adopt technology in halal meat retail and manufacturing industry on halal logistic performance. In this article, quantitative research was undertaken by collecting data from a random sampling data of 75 respondents working in Indonesian halal meat manufacturing and retail industry. Descriptive and inter-correlation analysis using SmartPLS were applied to determine the extent to which employees' readiness to adopt technology in halal meat retailing and manufacturing industries affected halal logistics performance. The results of this study show that the halal logistics performance in the halal meat retail and manufacturing industry is influenced by the readiness of employees to adopt the technology.
    Keywords: technology readiness; halal logistics; logistics performance.
    DOI: 10.1504/IJLSM.2020.10025828
     
  • INLAND PORTS: NEW DIMENSIONS IN THE TRANSPORTATION STRUCTURE OF SRI LANKA   Order a copy of this article
    by Shuwen Yan, Jayantha Rathnayake, J.A. Karunaratne 
    Abstract: This paper examines the need for inland ports in Sri Lanka. A hybrid approach comprising both quantitative and qualitative methods was used in here using the data collected through primary surveys and published sources. It concludes that the inland ports of Sri Lanka are needed not very much as an incentive to freight management process but as a solution to capacity-related issues on the roads. Findings further show that inland ports could offer relief to heavily congested roads of the City of Colombo and ushering substantial savings to the economy.
    Keywords: Inland port; sea port; logistics; capacity issues; globalisation; railways.
    DOI: 10.1504/IJLSM.2020.10025829
     
  • E-fulfilment in grocery retailing: design insights for a store-based distribution system   Order a copy of this article
    by Marco Melacini, Elena Tappia, Monica Rasini 
    Abstract: E-commerce dynamics are making the design of distribution systems more and more challenging, especially in grocery retailing. The use of stores as picking location for e-fulfilment brings the opportunity of both offering fast deliveries and exploiting synergies with the traditional channel. However, efficiently designing a store-based distribution system turns out to be a critical task. This paper addresses the tactical problem of selecting stores to be used as picking location and defining the related delivery zones. We developed a model for the delivery cost estimation using the continuous approximation approach, as well as a heuristic procedure to compare multiple store-based distribution systems. The model was applied to a real case. Results showed that properly selecting the picking locations in a store-based distribution system is recommended because cost saving can be up to 40%. The most cost-effective number of picking locations decreases with an increase in the online demand.
    Keywords: e-fulfilment; grocery retailing; distribution system; continuous approximation approach.
    DOI: 10.1504/IJLSM.2020.10025830
     
  • On the port of Valencia maritime network. A complex network approach   Order a copy of this article
    by Iñigo L. Ansorena 
    Abstract: This paper analyses the maritime network of the port of Valencia (Spain), which is the specific part of the global network that uses the port of Valencia. Four metrics of centrality are used to identify the ports that occupy crucial positions in the network. Then Kruskal's algorithm is used to obtain the minimum spanning tree (MST) that highlights the main maritime corridors to/from the western Mediterranean via Valencia. Our findings are important from the perspective of the Port Authority, which can use the outcomes of the research to strengthen cooperation with other ports through twinning agreements. In addition, this article can serve as a valuable reference for liner operators interested in the design of liner services to/from the western Mediterranean area.
    Keywords: port network; graph theory; maritime services; weighted network; Valencia; regular services.
    DOI: 10.1504/IJLSM.2020.10025831
     
  • On Adoption of Green Logistics: A Literature Review   Order a copy of this article
    by Vinod Yadav, Rakesh Jain, Piyush Gaur 
    Abstract: This paper aims to develop a systematic literature review of the work done in green logistics and methods of improving the transportation in greener way. This article also provides a framework to the paradoxes and barriers which are coming in the way for green logistic. This literature is classified by several factors such as journal, publication, the area of application and the countries where the research were conducted. Various methods to improve transportation are studied in detail and on the basis of their ease of application they are identified. All the related paradoxes and barriers are also discussed by giving importance to those who are most essential to look after. In this article future scope of green logistic and new possible solutions are also analyzed. Different methods of improving transportation are also discussed on the basis of simplicity in implementation which is also interlinked with cost.
    Keywords: green logistics; intermodal transportation; barriers in green logistics; paradox in green logistic.
    DOI: 10.1504/IJLSM.2020.10025832
     
  • A DEA Model for Evaluation of Efficiency and Effectiveness of Sustainable Transportation System: A Supply Chain Perspective   Order a copy of this article
    by Sonu Rajak, Parthiban Palanisamy, R. Dhanalakshmi 
    Abstract: The aim of sustainable supply chain management (SSCM) is to bring sustainability in every stage of the supply chain. Transportation is the key driver of logistics and supply chain management (SCM). In this context, this article presents a data envelopment analysis (DEA) method for the performance evaluation and selection of more efficient and effective transportation systems in the perspective of SSCM. This paper developed an integrated DEA enhanced Russell measure (ERM) model to select the best transportation systems provider. A model is used for the performance evaluation of the transportation system to minimise capital cost, cost of energy consumption, cost of work safety and labour's health, and CO2 emission. A numerical illustration has been presented, and sensitivity analysis is performed at different ? levels to show the robustness of the proposed approach. The result shows that the proposed approach is practically applicable and capable of generating good quality solutions.
    Keywords: Sustainable Transportation; Data Envelopment Analysis; Sustainable Supply Chain Management; Integrated Enhanced Russell Measure; Performance Evaluation.
    DOI: 10.1504/IJLSM.2020.10026167
     
  • Improving sustainable consumption and production in the supply chain: The role of eco-innovation practices   Order a copy of this article
    by Reihaneh Alsadat Tabaeeian, Mohsen Seify, Atefeh Khoshfetrat 
    Abstract: This paper aims to offer fresh insights into our understanding of green technology, organizational support and environmental contexts impacts on eco-innovation practices, and sustainable consumption and production in the supply chain. A survey involving managers related to the supply chain of the food industry was carried out to examine hypotheses. The structural equation modelling (SEM) method is applied to analyse the model of the study. The empirical results from the structural model suggest that technology, organization and environment contexts affect eco-innovation. Furthermore, eco-innovation impacts sustainable consumption and production. These findings provide a guide for managers to leverage the current state of supply chains and move towards a strong social licence to operate.
    Keywords: information technology; green technology; technology-organization-environment framework; sustainable consumption and production; supply chain; eco-innovation.
    DOI: 10.1504/IJLSM.2020.10027608
     
  • Effects of Produce Perishability, Supplier Geographical Distance, and Supplier Quality Performance on Buyer Control in Agri-food Supply Chains   Order a copy of this article
    by Renger Kanani, Arnt Buvik 
    Abstract: The purpose of this study is to investigate the effect of the degree of produce perishability on buyer control and examine this effect across different levels of supplier distance and supplier quality performance. This study was motivated by the vulnerability of quality of perishable agricultural produce to various logistical and transportation activities, including packaging of products, loading, and offloading activities. Three hypotheses capturing our research variables were developed and tested by using data obtained from the owner-managers and decision makers in the food processing industry. Empirical evidence from 239 food processing firms revealed that the degree of produce perishability positively influences buyer decision to control food supply chain factors that are likely to affect the quality of agricultural produce. The findings demonstrated further that the effect of produce perishability diminished as supplier geographical distance and quality performance increased.
    Keywords: Supply chain; Buyer control; product perishability; supplier distance; supplier quality performance.
    DOI: 10.1504/IJLSM.2020.10027738
     
  • Identification of challenges and their solution for Smart supply chains in Industry 4.0 scenario: A Neutrosophic DEMATEL approach   Order a copy of this article
    by Shubham Tripathi, Manish Gupta 
    Abstract: Industry 4.0 has brought a new perspective to supply chains with latest technologies and connectivity to attain maximum outputs with minimum inputs and introduced a service oriented economy making supply chains smarter. A systematic transformation is crucial to ensure that organizations reap maximum benefits of the revolution. This study identifies key constraints causing hindrance in smooth transformation and analyses their influence among themselves and the entire system using a neutrosophic DEMATEL approach. A group of experts were consulted from academia and industry to formulate the final list of thirteen challenges which include lack of standardization, IPR concerns, data issues and lack of skilled workforce. The results will facilitate policy makers, and managers to understand their significance and prioritisation. As addressing these barriers will expedite the transformation process, possible solutions to identified barriers are discussed to provide future direction on overcoming these challenges.
    Keywords: Industry 4.0; Smart factory; Supply chain management; Smart supply chain; Digital supply chain; Multi-criteria decision making; DEMATEL; Neutrosophic set.
    DOI: 10.1504/IJLSM.2020.10027968
     
  • A Review Of Sustainable Reverse Logistics: Approaches And Applications   Order a copy of this article
    by Ferry Jie, Ilyas Masudin, Dian Palupi Restuputri, Faradilla W. Fernanda 
    Abstract: The purpose of this paper is to review the literature relating to the approaches and application of sustainable reverse logistics in various types of business. The paper uses content analysis method for literature review. The review limits the published literature including thesis, proceedings, and literature from search engines e.g. Google Scholar, Science Direct, Emerald Insight, etc. The publications were found in the areas of logistics management, operations management, and business logistics. 80 literature were used as references and sorted based on the purposes which are related to the sustainable reverse logistics. There are a number of gaps in reviewed literature. The gaps were in sustainability performance, key factor, roles of other parties, assessment method, complimentary factor, and development. Generally, the gap is related to implementation of global level and performance of three elements in sustainable reverse logistics.
    Keywords: remanufacturing; reverse logistics; sustainable reverse logistics; sustainable supply chain.
    DOI: 10.1504/IJLSM.2020.10027985
     
  • Determination of Challenges and Driving forces of Green Supply Chain Management in Indian Manufacturing Industries: A Critical Review   Order a copy of this article
    by Kaibalya Nayak, Deepak Singhal, Sushant Tripathy 
    Abstract: Environmental sustainability is emerging as a noticeable area for researchers over the last few decades In the current scenario, green supply chain management (GSCM) is emerging as a key strategy which has the ability to diminish the negative impact on the environment and subsequently it gives economic benefits to industries This article aims to carry out a literature review on the field of GSCM in Indian manufacturing industries regarding the common challenges and driving forces of GSCM along with the status in India. Lack of top management support , absence of strict government regulations and poor policies gained the maximum response for challenges of GSCM Similarly green brand image and cleaner production gained the highest response as driving forces of GSCM The mining and automotive sectors are the most discussed sectors for GSCM in India whereas chemical, pharmaceutical, tire manufacturing, furniture, food packaging industries are very less focused industries.
    Keywords: Green supply chain; driving forces; challenges; India; manufacturing.
    DOI: 10.1504/IJLSM.2020.10027989
     
  • The Role of Lean Sustainable Logistics in Business Operations   Order a copy of this article
    by Sooksiri Wichaisri, Apichat Sopadang 
    Abstract: Lean Sustainable Logistics (LSL) proposed to improve and implement organization for sustainability business This study aims to explore and analyse the interrelationship of LSL by mean of co-word analysis and correlation analysis It examines the correlation between three keywords: sustainable development, lean concept and logistics management Their relationships are analysed role of LSL to develop business operations for sustainability Data collection was based on research articles published beginning from 2001 and found on online databases Next, word ranking was conducted to measure the relationship between cited keywords via co-word analysis and Pearson’s correlation coefficient, respectively The first ranking showed that sustainable development is the most important concept for business operations Logistics management and lean concept are ranked third and seventh, respectively Their relationships are positive relationship concordantly Then, a cause-and-effect relationship is created via causal linkage in order to analyse positive and negative effects of these concepts There are three
    Keywords: Relationship Analysis; Co-word Analysis; Pearson’s Correlation; Lean Sustainable Logistics; Causal Linkage.
    DOI: 10.1504/IJLSM.2020.10028080
     
  • Mapping operations research in project management: A bibliometric analysis   Order a copy of this article
    by Andrés Muñoz-Villamizar, Elyn Solano, Rodrigo Romero-Silva 
    Abstract: Successful project management can help organisations reducing costs and increasing its efficiency. Likewise, operations research has contributed significantly to improve project management performance with phase-project-planning methodologies. However, as far as we know, there is no a literature review that compiles operations research in project management (OR+PM). Thus, this paper aims to present a bibliometric analysis of OR+PM using 1,254 research papers retrieved from ISI Web of Science. This final dataset is composed of articles from scientific journals published between 2001to2018. The results indicate that project scheduling, project management and resource-constrained project scheduling have been the backbone concepts of OR+PM; while terms, such as sustainability, earned value management, multi-objective optimisation, and multi-mode resource-constrained project scheduling problem have been gaining relevance in recent years. Results also show who have been the most influential authors, institutions and countries in the development of this field. Finally, future research opportunities for OR+PM are identified.
    Keywords: Operations Research; Project management; Bibliometric analysis; ISI Web of Science; VOSViewer; resource-constrained.
    DOI: 10.1504/IJLSM.2020.10028491
     
  • A Comparison of Cargo Securing on Laden/Unladen Container Trucks   Order a copy of this article
    by Martin VLKOVSKÝ 
    Abstract: The article deals with the effect of cargo on the magnitude of shocks generated in the Tatra 815 MK IV container carrier with respect to cargo securing. Due to the frequent use of only a part of the capacity of the ISO 1C container, a different effect on the magnitude of the shocks generated, and hence on the choice of a cargo securing system is assumed. Two datasets of acceleration coefficients have been obtained from a transport experiment carried out with an empty vehicle and a 50% laden vehicle at a comparable average speed. For the measuring of primary data, OMEGA-CP-ULTRASHOCK-5 three-axis accelerometer with a data logger and a calibration certificate was employed. The data (values of acceleration coefficients) were statistically processed, the probability of excess of the normatively determined limits as per ?SN EN 12195-1: 2011 was determined, and respective securing forces required for adequate cargo securing were calculated.
    Keywords: transport; cargo securing; load; container truck; acceleration coefficient; inertial force; securing force; statistical test of equality.
    DOI: 10.1504/IJLSM.2020.10028533
     
  • A Delivery Oriented Order Picking Policy with Batching for a Randomized Storage Warehouse   Order a copy of this article
    by Jiun-Yan Shiau, Ming-Kung Huang, Shih-Wei Chou, Tzu-Ching Liao 
    Abstract: One of the most crucial tasks of a warehouse management system is order picking, which is also the most expensive cost of warehouse operations in a distribution centre. Improving picking efficiency can thus be highly beneficial for distribution centre operations. In this study, a 24-hour express shipping online shopping case was investigated. The theory of order picking is reviewed and summarised to assist researchers to develop methods to improve upon deficiencies identified in the case study. A mixed integer programming model that integrates order picking operations and order packing operations was developed to improve the performance of warehouse operations. A conceptual system with a simplified example of the proposed order picking function was implemented to demonstrate the merits of our idea and is reported herein.
    Keywords: Order picking problem; Packing problems; Warehouse management system.
    DOI: 10.1504/IJLSM.2020.10028539
     
  • In-plant lean logistics management: Case study on Chinese automotive practices   Order a copy of this article
    by Balakrishnan AS, Jayshree Suresh, Mengying Feng 
    Abstract: Chinese automotive firms, drive standardisation and continuous improvement in their operations to stay competitive in business. To achieve profitable results, the firms deployed in-plant lean logistics management to optimize the inventory level, flow of materials, components and sub-assemblies to produce the finished vehicles. The purpose of this paper is, to report in-plant logistics management of a Chinese automotive firm and its impact on improved operations performance. It also exhibits the use of mixed model vehicle assemblies, to achieve no part stock-out situation. It is evident from this study that lean techniques are able to increase organization efficiency through waste reduction and improve fitness. This qualitative research is done by a) visit to the firm b) detailed observations c) using questionnaire and interviews of employees and third-party logistics (3PL) suppliers. For in-plant logistics performance, the study also suggests improving the standardisation and material movements across warehousing facilities and vehicle assembly plants.
    Keywords: lean techniques; in-plant logistics; automotive; China.
    DOI: 10.1504/IJLSM.2020.10028542
     
  • ADAPTIVE INERTIA WEIGHT PARTICLE SWARM OPTIMIZATION FOR A MULTI-OBJECTIVE CAPACITATED VEHICLE ROUTING PROBLEM WITH TIME WINDOW IN AIR FREIGHT FORWARDING   Order a copy of this article
    by Hop Van Nguyen, Phan Phi Phung 
    Abstract: Capacitated Vehicle Routing Problem with Time Window (CVRPTW) is a critical issue in forwarding business. In this problem, normal cargoes (excluding Freeze and Hazardous Goods) are normally consolidated before shipping to customer sites. Two objectives of delivery lead-time and total shipping cost are considered subject to vehicle capacity and time windows constraints. The Fuzzy-Compromise Programming approach is utilized to handle the multi-objective model. Then, a so-called Adaptive Inertia Weight Particle Swarm Optimization (AIW-PSO) algorithm is applied to handle the cases of large number of delivered customers. In this work, a real case of leading forwarding company in Vietnam is investigated to validate the proposed solution.
    Keywords: Adaptive Inertia Weight; Capacitated Vehicle Routing Problem with Time Window; Particle Swarm Optimization; Freight Forwarding.
    DOI: 10.1504/IJLSM.2020.10028581
     
  • Personal relationships and Agency Conflicts: Case of Buying and Supplying firms in Australia   Order a copy of this article
    by ATIF BUTT 
    Abstract: Personal relationships (i.e. friendships) have been the subject of a great deal of research in the business discipline, with most of the literature concentrating on either positive or negative firm-level results from such interactions. Scientific research, however, has yet to resolve the conflicts that occur between managers and their respective firms when there is a personal relationship between managers of buying and supplying firms in the supply chain. This paper addresses this important gap in supply chain literature. The research is qualitative in nature using the phenomenological approach for exploratory purposes. Overall, 30 semi-structured interviews are conducted with senior managers of purchasing and sourcing firms from Australia's manufacturing and service sector. Results from this study show that personal relationships between buying and supplying managers develop five different conflicts between managers and their respective firms with the potential to generate negative firm-level outcomes.
    Keywords: behavioural supply chain management; supplier-buyer relationship; personal relationships; qualitative data analysis.
    DOI: 10.1504/IJLSM.2020.10028931
     
  • A conceptual model for benchmarking transshipment ports:The case of Tangier-Med and Algeciras Bay   Order a copy of this article
    by Khalid Bachkar, Nguyen Canh Lam 
    Abstract: Seaports constitute a central component of the general transportation sector and a major means of integration into the global economic system. Increasingly, with the development of large containerships, the emergence of transhipment hub ports has made the total origin-to-destination movement of containerised cargo more seamless, and therefore, transport terminals have become more efficient. In this paper, we carry out a conceptual framework to analyse the transhipment port competition using a multi-criteria analysis (MCA) approach. We then apply the framework to assess the competitiveness of the twin transhipment ports of Tangier-Med (Morocco) and Algeciras Bay (Spain). Our findings indicate that the Port of Tangier-Med is more attractive with regard to four criteria: port infrastructure, connectivity, port charges and port efficiency. In contrast, the Port of Algeciras Bay is more attractive with regard to two criteria: social responsibility and port management, and regulation, respectively. Results from the study will interest port managers because these results provide essential information on the key factors that come into the decision process of port users, thus, identifying the strengths and weaknesses of the Port of Tangier-Med and the Port of Algeciras Bay.
    Keywords: transhipment ports selection; Port of Tangier-Med; Port of Algeciras Bay; multi-criteria analysis; logistics centered connectivity.
    DOI: 10.1504/IJLSM.2020.10033172
     
  • Third-party reverse logistics service provider selection approaches and criteria: A literature review   Order a copy of this article
    by Duy Tai Nguyen, Raufdeen Rameezdeen, Nicholas Chileshe, Jeremy Coggins 
    Abstract: Although selection of third-party reverse logistics service providers (TPRLSP) is considered as a strategic decision of firms and the number of papers regarding their selection are increasing, a review about aspects associated with TPRLSP selection is lacking. The aim of this paper is to review the existing literature of approaches and criteria for TPRLSP selection. Content analysis method is applied to examine 50 articles published from 2002 to 2019 to answer two following questions: (1) which selection approaches are prevalently applied? and (2) which selection criteria are popular? The results indicate that the most prevalent integrated approach is that of Analytic Hierarchy Process (AHP) with individual methods. Additionally, the most widely used individual approach is Data Envelopment Analysis. In terms of criteria, it is found that operational performance is the most commonly utilised criterion for evaluating TPRLSPs. Based on discussion of the results and further analysis, future directions are proposed.
    Keywords: Third party reverse logistics; reverse logistics outsourcing; service provider; decision making process; selection; criteria; literature review; content analysis.
    DOI: 10.1504/IJLSM.2020.10028937
     
  • Proposal of a supplier evaluation and ranking method based on fuzzy AHP and fuzzy TOPSIS   Order a copy of this article
    by Rafael H. P. Lima, Túlio F. Ulhoa, Lauro Osiro, Luiz C.R. Carpinetti 
    Abstract: As companies increasingly focus on their core competences, the relationship with suppliers becomes more crucial. In complex supply chains it is vital to continuously evaluate suppliers to aid the purchasing process, thus prioritizing suppliers with greater performance. However, the evaluation of suppliers depends on the purchased item and require the adoption of multiple criteria, which often are qualitative and assessed under uncertainty. This paper contributes to the field of supplier evaluation by proposing a supplier evaluation model that uses qualitative criteria to rank a set of suppliers of a given strategic item. Initially the model uses fuzzy analytic hierarchy process (AHP) to weigh the criteria and later it uses fuzzy TOPSIS to evaluate suppliers. A real application was carried out in a shoe manufacturer to evaluate leather suppliers, which enabled both the ranking of the current three suppliers and deciding on guidelines on order quantities and supply base development.
    Keywords: Fuzzy AHP; Fuzzy TOPSIS; Supplier evaluation; Supplier ranking.
    DOI: 10.1504/IJLSM.2020.10028940
     
  • Service Supply Chain Management: A literature review   Order a copy of this article
    by Badr Bentalha, Aziz HMIOUI 
    Abstract: Most of the work carried out on the Supply Chain Management (SCM) theme has long favoured the industrial firm. They have more, or less consciously excluded the service company. Admittedly, several articles have been devoted in the past to logistics service providers and transport companies, but without always relying on the contributions of service management. The purpose of this article is to review the current literature on SCM and its application in service companies. The issue is to determine whether there is a consensus on its definition, its aspects discussed and the methodologies chosen. The review of 53 articles shows that SCM definitions and approaches differ from one study to another. Many studies have examined the performance of the SCM, either globally, or partially, but again, it is difficult to compare them given the multiplicity of approaches used.
    Keywords: Supply Chain Management; Service company; literature review; logistics; performance; Tertiary sector; Service economy; Service supply chain; Qualitative review; Supply chain.
    DOI: 10.1504/IJLSM.2020.10028942
     
  • A new distributed optimization approach for home healthcare routing and scheduling problem   Order a copy of this article
    by Jalel Euchi, Salah Zidi, Lamri Laouamer 
    Abstract: Home healthcare faces new challenges day by day and it became increasingly legitimate in the face of getting old population. Home healthcare centres are exposed cumulative demands and academics are paying attention to the routing and scheduling matter, which offered in literature as a technician routing and scheduling problem (TRSP) where the aim is to minimise the total cost subject to the time windows constraints to serve the patients respecting their priorities. In this paper, we will develop a new distributed algorithm to resolve the home healthcare routing and scheduling problem (HHRSP). The principal idea of this algorithm is to apply artificial intelligence techniques in a distributed optimisation method. The integration of automatic learning and search methods will be applied to optimise the assignment of appointments to home caregivers. It allows us to gain time, effort, especially cost, and while complying with the problem constraints. The comparison results prove the efficacy of the recommended approach, which can offer decision support for medical executives of home healthcare.
    Keywords: Home Health care; routing and scheduling; distributed algorithm; time windows.
    DOI: 10.1504/IJLSM.2020.10029416
     
  • Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA   Order a copy of this article
    by Mohsen M.D. Hassan, Amar Oukil 
    Abstract: The purpose of this paper is to assist designers and logistics/manufacturing managers in forming efficient systems of material handling (MH) from compatible commercial MH models that meet user requirements and have desired specifications using data envelopment analysis (DEA). The latter approach helps consider both technical and economic aspects of MH and ranks candidate commercial models and systems. The results show that attractive systems and the corresponding commercial models to be acquired should have low cost, require small space, and have high capacity. The application presented herein enhances formation of supply chains, where a MH system is a key component, and relieves users of the need to assume and estimate data relating to operations in a facility as it uses only data that are available during the design of a new system, and eliminates through modelling the need to quantify qualitative factors.
    Keywords: Commercial material handling equipment; Data envelopment analysis; Modelling; Supply chain components; Material handling systems.
    DOI: 10.1504/IJLSM.2020.10029423
     
  • Logistics outsourcing by Moroccan manufacturing ?rms: A qualitative study   Order a copy of this article
    by Latifa Fadile, Mohamed El Oumami, Zitouni Beidouri 
    Abstract: The relevant literature on logistics is largely centred on advanced countries and research on logistics outsourcing (LO) in developing countries in general and African ones in particular is sparse. This paper addresses this gap by shedding light on the usage of LO by Moroccan manufacturing firms. Thus, a qualitative study is conducted to know the extent to which they outsource their logistics: factors influencing the LO decision, benefits and risks of LO, logistics activities outsourced, impact of LO on their performance, logistics services providers (LSPs) types, determinants and sources used to select the appropriate LSPs, and finally their expectations regarding the supply of their LSPs. The results denote that the usage of LO reveals positive impact on firms performance although it still at a nascent stage in Morocco. This study contributes to the growing body of knowledge of LO practices. Research limitations are highlighted and potential future research avenues are proposed.
    Keywords: Logistics outsourcing; Manufacturing ?rms; Morocco; Qualitative study.
    DOI: 10.1504/IJLSM.2020.10029425
     
  • Logistics Specialist Selection with Intuitionistic Fuzzy TOPSIS Method   Order a copy of this article
    by Gultekin Altuntas, Bahadir F. Yildirim 
    Abstract: In a complex, uncertain, gradually changing and developing competitive environment, businesses, regardless of size, scale or the industry, have to develop a base on their human capital in order to ensure their survival, sustainable competitive advantage and superior performance Therefore, this study aims to propose a novel approach to the personnel selection (PS) problem, the starting point of all human resources management (HRM) functions in a highly unstable industry as of logistics in an emerging market with a real case in a group decision
    Keywords: Personnel selection; Logistics specialist; Intuitionistic fuzzy; TOPSIS; MCDM.
    DOI: 10.1504/IJLSM.2020.10029471
     
  • Supply Chain Performance in the era of Digitisation: The role of Electronic Supply Chain Management   Order a copy of this article
    by KRITIKA RANA, Sanjeev Kumar Sharma 
    Abstract: The advancements in Information Technology has enabled the supply chain members to share realtime information, which further facilitates the integration of supply chain members. Since supply chain integration is a prerequisite in achieving superior supply chain performance, the objective of the current study is to determine the relationship between IT-enabled supply chain management (eSupply Chain Management), supply chain integration, information sharing and the performance of supply chain as a whole. Also, many authors are of the view that e-SCM and information sharing can positively enhance the integration among supply chain members, thus, another objective is to determine whether supply chain integration mediates the relationship between e-SCM and supply chain performance or not. Similar relationship is tested with information sharing as a mediator. For this, a sample of 293 respondents are taken from the pharmaceutical manufacturing units and pharmacies in India. Structural Equation Modelling is applied to test these relationships.
    Keywords: E-Supply Chain Management; Indian Pharmaceutical Industry; Information Sharing; Information Technology; Supply Chain Integration; Supply Chain Performance; Structural Equation Modelling; Mediation.
    DOI: 10.1504/IJLSM.2020.10029484
     
  • Assessment the effect of the practical relationships and performance of supply chain food companies in Bosnia and Herzegovina   Order a copy of this article
    by Adis Puška, Željko Stević, Aleksandar Maksimovic, Nasiha Osmanovic 
    Abstract: The conducted research represents empirical study of the multidimensional relationship between supply chain practice and performance. In the supply chain practice, the focus is on customer, customer relationship and information sharing. This research shows what type of impact has the practice on supply chain performance. Supply chain performance is measured by four constructors: flexibility, cost, quality and delivery. Collected data from food companies of Bosnia and Herzegovina (B&H) has been used for testing hypothesis. There have been tested three hypotheses using multiple linear regression analysis. The results have shown that individual supply chain practices have an impact on supply chain performance. In addition, it has been shown that the relationship with the supplier and the buyer affects the quality of the supply chain, while the relationship with the supplier affects the delivery. The results have shown that the information sharing has no impact on individual constructors of supply chain performance.
    Keywords: supply chain practice; supply chain performance; factor analysis; multiple linear regression.
    DOI: 10.1504/IJLSM.2020.10029485
     
  • An EOQ model for deteriorating item with time-dependent demand and partial backlogging: advance payment policy   Order a copy of this article
    by Ali Akbar Shaikh, Md Sadikur Rahman, S.K. Nurul Hasan, Tanmoy Banerjee, Rajan Mondal 
    Abstract: The objective of this work is to formulate an inventory model for a deteriorating item under time dependent demand with partially backlogged shortages. Here, backlogging rate has been considered as the exponential function of the length of the waiting time of the customers. An important business policy, advance payment has also been introduced where a retailer makes an order of the product by paying a certain portion of the total purchase cost before receiving the product with some equal instalments and the rest amount has to be paid at the receiving time of the lot. Then corresponding cost minimisation problem has been formulated. Due to the high nonlinearity of the corresponding optimisation problem, to find the best-found solution of the objective function LINGO 18.0 software is used. To validate the proposed model, one numerical example has been solved. Finally, the effect of changes of different parameters of the proposed model have been analysed graphically and a fruitful conclusion has been made.
    Keywords: EOQ; deterioration; time dependent demand; advance payment; partial backlogged shortage.
    DOI: 10.1504/IJLSM.2020.10029665
     
  • The Effectiveness of Parcel Locker that Affects the Delivery Options among Online Shoppers in Kuala Lumpur, Malaysia.   Order a copy of this article
    by Chin Keen Chong, Rohana Sham, How Liang Chong 
    Abstract: Business services nowadays are being transformed, conceived and developed due to the innovative self-service technology. Parcel locker is being added as last mile delivery method since it provides consumers with various conveniences such as dictating time, pace, location and ultimately the result of the delivery service. However, there is room for raising the awareness of parcel locker service in Kuala Lumpur, Malaysia. Hence, this study will focus on the factors to determine the effectiveness of lockers for parcel delivery that affect the delivery options among online shoppers in Kuala Lumpur. The study provides insights into the adoption of parcel locker service in the online purchasing sector as well. Among the implication of the findings is that, researchers found out that functions such as returning and picking up parcels brought to online shoppers by parcel locker service are the main drivers for adopting the new arising last mile delivery method.
    Keywords: Parcel Locker; Last Mile Delivery; Convenience; Reliability; Functioning; Cost.
    DOI: 10.1504/IJLSM.2020.10029674
     
  • Green performance evaluation and ranking hotels using Fuzzy Promethee   Order a copy of this article
    by Shib Sana, Mahboubeh Kamalkhani, Reza Sheikh 
    Abstract: Environmental management concerns are gaining considerable attention among organizations all over the world and organizations are under pressure to adopt green practices throughout their decisions. So far, there has not been any research on greenness evaluation in hotels using Fuzzy MCDM. This research has aimed to evaluate greenness in Iranian hotels. One of the decision making techniques, the Fuzzy PROMETHEE technique, was employed to compare hotels. Fuzzy sets were used to get rid of uncertainties in the evaluation process and due to easiness they offer to get the evaluation of decision makers orally. Consequently, the proposed framework can be replicated for other service industries that are useful for top managers, economic policy formulators and travelers.
    Keywords: Green Hotel; Multiple criteria decision making (MCDM); Promethee; Fuzzy.
    DOI: 10.1504/IJLSM.2020.10029755
     
  • A multi-objective analysis of a petroleum transportation network under uncertainty   Order a copy of this article
    by Jagat Shrestha, Pramesh Pudasaini, Lopes Rui Borges 
    Abstract: In this paper, multi-objective models, based on deterministic and stochastic approaches, are proposed for the transportation subsystem of a petroleum supply chain (PSC) network in Nepal. Demand has been considered the uncertain parameter for two-stage stochastic analysis using scenario tree generation. The models, designed for multiple sources, destinations and products, have the objectives of minimizing transportation cost and minimizing product loss during transportation. The multi-objective mathematical programming (MOMP) problem is solved using the ?-constraint method. Comparison of deterministic and stochastic approaches is drawn to make the decision maker (DM) aware of the effects of demand uncertainty. The analysis and computational results provide the DM with a decision support tool for planning the optimal shipping pattern under different scenarios of time-varying product demands.
    Keywords: Multi-objective optimization; Petroleum transportation; Demand uncertainty; Scenario analysis.
    DOI: 10.1504/IJLSM.2020.10029757
     
  • Operational Policies Based on Fare-Box Revenue Management of Indian Railways   Order a copy of this article
    by Sundaravalli Narayanaswami, Lakshya Saini 
    Abstract: An interim report published by IR states that some of the premium IR services that are operated daily suffer a loss of up to Rs 1 00 to 1 5 Million per trip, which is not commercially healthy We developed a framework to compute the operational cost per trip of an IR passenger service using actual data The total operational cost was evaluated against generated revenue, and it was found that break even could not always be attained We proposed two solution approaches for IR: (i) when there is no cost breakeven, IR should run fewer coaches so that excess cost is not incurred with unoccupied coaches and (ii) whenever the demand for occupancy in a service is more than the seats available, IR should add more coaches. Thereby, IR can improve their revenue management, control costs and increase their fare-box revenues.
    Keywords: Total Cost of Operations; Profitability of trains; Operating Costs; Fare-box Revenues.
    DOI: 10.1504/IJLSM.2020.10029938
     
  • E-Procurement, Supply Chain Performance and Inter-Organizational Communication   Order a copy of this article
    by Majid Mohammad Shafiee, Sayyed Mohammad Javad Rejali 
    Abstract: This research aims to investigate the effect of e-procurement on supply chain performance focusing on the role of inter-organizational communication in the oil industry. E-design, e-evaluation, e-sourcing, and e-negotiation were identified as the most important dimensions of e-procurement. Likewise, inter-organizational information systems and inter-organizational trust were considered the main dimensions of inter-organization communication. The statistical population consisted of procurement and purchase managers, buyers, and experts in the oil industry. To test the hypotheses and determine the relationship among the model variables the structural equation modelling approach was used. The results imply a positive effect of e-procurement on supply chain performance. Moreover, a positive impact of inter-organizational information systems and trust on supply chain performance was confirmed. According to the importance of inter-organizational communication for industrial sellers, buyers, and also industrial marketers, this research provides practitioners with a strategic perspective when dealing with e-procurement systems to improve supply chain performance.
    Keywords: E-procurement; Supply chain performance; Inter-organizational information system; Inter-organizational trust.
    DOI: 10.1504/IJLSM.2020.10029979
     
  • A System Thinking Conceptual Model for Oil and Gas Complex Systems   Order a copy of this article
    by Yolanda Obaze, Victor R. Prybutok, Daniel Alan Peak 
    Abstract: This qualitative review develops a visual model to describe global logistics problems involved in the oil and gas (O&G) systems. The conceptual model provides a systems perspective on the complex logistical decisions within the petroleum industry, especially in situations where the gas producers face problems when meeting increasing demand. This research characterizes the organizational learning method to understand the scenario that anticipates O&G demand. Using systems thinking, causal loop diagram (CLD), the qualitative study presents an innovative way of viewing the interrelationships between complex variables in the petroleum industry. The CLD models the strategic supply chain and logistics decisions as key factors in the business to business environments that enable companies to sustain a competitive advantage. Practitioners and researchers can anticipate and consistently gain new knowledge by using systems thinking to model the logistics processes and complexities in the petroleum industry.
    Keywords: Systems Thinking; Logistics; Strategic Alliances; Transportation; Causal Loop Diagram.
    DOI: 10.1504/IJLSM.2020.10030461
     
  • Personal Relationships and Supply Chain Communication: An Exploratory Case Study of Buyers and Suppliers of Logistics Service Provider   Order a copy of this article
    by ATIF BUTT 
    Abstract: Personal relationships have been the subject of much research in supply chains, with most studies suggesting that these relationships have a positive effect on supply chain communication. Nevertheless, it is important to realize that a lack of a personal relationship will adversely affect the communication process between the individuals of supply chain member firms. This research fills this important gap in supply chain communication literature. As there is limited research in this field and qualitative approaches are considered ideal for evaluating emerging research phenomena, a case study approach is employed. Overall, 20 semi-structured interviews with senior managers from 10 different firms engaged in the process of buying and selling logistics services are undertaken. The results show that the absence of a personal relationship between buyers and suppliers of logistics service providers negatively affects the communication process between the managers of focal firms in five distinct ways. The study concludes by discussing its implications for theory and practice, alongside limitations and future research directions.
    Keywords: Behavioral supply-chain management; buyer-supplier relationships; personal relationships.
    DOI: 10.1504/IJLSM.2020.10030463
     
  • Ranking US Airlines   Order a copy of this article
    by Aman Gupta, Robert Walton 
    Abstract: In the past, airline competition has typically been assessed typically using one performance measure, with some exceptions where a combination of a few performance measures have been used. This research presents a multi-attribute decision-making approach to assess the competitiveness of airlines in the United States. The performance measures are considered under five competitiveness dimensions including, cost, price, service quality, management, and productivity. Input from airline decision makers was used to assign weights to the performance measures. Different methods were applied to solve the multi-attribute decision making model. The competitiveness of ten US airlines were ranked based on these methods and compared.
    Keywords: Airlines; competition; multi attribute; decision analysis.
    DOI: 10.1504/IJLSM.2020.10030465
     
  • A simulation-optimization approach to determine optimal order-up-to level for inventory system with long lead time   Order a copy of this article
    by Jirachai Buddhakulsomsiri, Chawalit Jeenanunta, Violin Kongtarat 
    Abstract: This paper proposes a simulation-optimization technique to determine an optimal order-up-to level for a single product in a periodic review inventory system. A vital aspect of the problem is that the replenishment lead time is much longer than the review period. Customer demands are stochastic, discrete, and intermittent, and the lead times are stochastic and discrete. With these demand and lead time characteristics, an empirical distribution is used to fit the distribution of demand during the lead time. A simulation-optimization approach is developed with the objective to minimize the total annual inventory management cost, which consists of the holding cost and backlog cost, while maintaining an acceptable service level. Real data from a warehouse of an international trading company are used to test the performance of the proposed technique. Results from a computational test show the effectiveness of the technique.
    Keywords: Simulation-optimization; order-up-to level; long lead time; periodic review; backlog; inventory system.
    DOI: 10.1504/IJLSM.2020.10030542
     
  • Supporting flexibility of kit preparation for mixed-model assembly   Order a copy of this article
    by Patrik Fager, Robin Hanson, Lars Medbo, Mats Johansson 
    Abstract: Flexibility is key with mixed-model assembly, and kitting is often applied here as a flexible approach of materials supply. While the flexibility benefits of kitting are understood, there has been a lack of guidance on how to support flexibility of the kit preparation process. Accordingly, this papers purpose is to support the design of flexible processes for kit preparation. To achieve this, a framework is developed based on empirical data from five industrial cases. Flexibility is considered amongst five flexibility types new product, modification, mix, volume and delivery and six kit preparation design aspects: location, layout, work organisation, packaging, material-handling equipment, and picking information system. The paper contributes guidance of how to support kit preparation flexibility within industry, which has been rare in literature. Several of the findings may be exploited in similar contexts, for example in warehouse order picking and assembly.
    Keywords: flexibility; kitting; kit preparation; order picking; materials handling; in-plant materials supply; mixed-model assembly; production flexibility.
    DOI: 10.1504/IJLSM.2020.10030710
     
  • ANALYSIS OF CONTAINER PORT SELECTION CRITERIA FROM THE IMPORTERS’ PERSPECTIVE: A STUDY IN SOUTHERN BRAZIL   Order a copy of this article
    by Guilherme Bergmann Borges Vieira, Victória Pasquali, Erica C. Roos, Jonas Mendes Constante 
    Abstract: Port selection is an important topic for scholars and practitioners and importers have an important role in the port selection. The current study presents an analysis on port selection criteria from the point of view of importers in southern Brazil. First, a literature research was conducted to identify how port selection is structured and after the most cited criteria for port selection were identified. Using these criteria, a quantitative, descriptive and causal research was carried out through the application of a questionnaire to a sample of importers. Data were analysed by descriptive statistical analysis and multiple linear regression and it was possible to identify the most relevant port selection factors considered by the importers. Among these factors, inland transportation costs (from the port to import destination), port efficiency and infrastructure stood out. These factors accounted for 75% of the overall evaluation, according to the R2 found in the regression analysis.
    Keywords: Port Selection Criteria; Importers’ perception; Southern Brazil.
    DOI: 10.1504/IJLSM.2020.10030751
     
  • Integrative conceptual framework to support decisions on warehousing operations in forward and reverse flow   Order a copy of this article
    by Marcele Elisa Fontana, Andréa R. A. P. V. Nova 
    Abstract: Warehouse has assumed a prominent position in the Supply Chains (SCs), since the operations performed in these facilities directly influence all SC. In addition, organizations motivated by economic, environmental and legislative issues have begun to worry about the impact from their processes and products. This has encouraged organizations to use their storage facilities to store both forward and reverse flow materials. However, managing hybrid warehouse is complex due to the difficult in handling the material from both flows, and the need to reconfigure the warehouse system. Therefore, this paper proposed an integrative conceptual framework that assists in the strategic decision-making regarding raw material warehouse design and operations in hybrid facility. The main contribution of this work is the systematization and simplification of the strategic decision making process about warehouse design and operations in bidirectional flow environment, allowing optimizing space, facilitating flow and minimizing storage cost.
    Keywords: Warehouse; hybrid facility; design; operation system.
    DOI: 10.1504/IJLSM.2020.10030752
     
  • Study and Analysis of Supply Chain Strategic Drivers for Business Value Creation in Battery Industry   Order a copy of this article
    by Sandip Pradhan, Siddhartha Bhattacharya, Radha Tamal Goswami 
    Abstract: This empirical research begins with the identification of strategic drivers based This empirical research begins with the identification of strategic drivers based on extensive review and analysis of the supply chain management (SCM) articles. An empirical survey and analysis is done on the primary data collected from industry professionals using statistical tools to identify the key strategic drivers, which will help to create higher business value. The aim of this research article is three-pronged first identifying the key strategic drivers from literature review, secondly conduct an empirical survey on identified drivers. Finally, using rank analysis to classify into a priority hierarchy of vital, essential and desirable for adoption in the battery industry. This study helps decision makers optimise time, energy and resources to formulate relevant SCM strategy with the identified critical success factors towards successful SCM. This paper makes adequate preparation for future research to decide the right set of strategic drivers in SCM for academicians and researchers.
    Keywords: Battery Industry; Business Value; Rank Analysis; Supply Chain Management (SCM); Strategic Drivers.
    DOI: 10.1504/IJLSM.2020.10030753
     
  • Optimal Collection Policies for Returned Products in the Reverse Supply Chain   Order a copy of this article
    by Moulik Kapadia, Emanuel Melachrinoudis, Nizar Zaarour 
    Abstract: The emergence of e-commerce and increasing customer service expectations have pushed a growing number of firms to adopt liberal return policies, this results however in skyrocketing return delivery costs. To reduce this impact of product returns on a firm’s baseline, we develop and compare different collection models by leveraging economies of scale and optimizing the collection period across multiple initial collection points (ICP) in a three-echelon network before transshipping the returned products to a centralized return center (CRC). Collection policies are developed for the case of multiple ICPs and a single type of product: 1) individual shipment policy, 2) combined shipment policy, and 3) hybrid shipment policy. Mathematical models are developed for calculating the combined inventory and transportation costs for these policies, and an optimization approach is designed to minimize the number of computations required to reach the optimal collection period. The results are then presented with an experimental dataset.
    Keywords: Product Returns; Reverse Logistics; Reverse Supply Chain; Optimization; Multiple Collection Points; Closed-loop Supply Chain; Operations Research.
    DOI: 10.1504/IJLSM.2020.10030853
     
  • CAN ICT BASED PROCESS INNOVATION IMPROVE LOGISTICS SERVICES?   Order a copy of this article
    by Sanja Dalton, Biljana Stosic 
    Abstract: In this empirical study the impact of advanced Information Communication Technology (ICT) as a tool to enable process innovation is presented. The aim of the research is to measure the impact of ICT based process innovation on improving goods transport services through enhancing process efficiency and effectiveness in the sales operations. The research was conducted by collecting primary and secondary data from a Serbian transport company. The results of the research show that the ICT based innovation action in process improvement and change has a great impact on competitive advantage of the company, both on domestic and international market. However, there are also indications that there is a need for further continuous advancements.
    Keywords: process innovation; performance metrics; key performance indicators (KIPs); information communication technology (ICT); Lean.
    DOI: 10.1504/IJLSM.2020.10031034
     
  • Order Penetration point-based supply chain Performance Optimization for SMEs (OPPO)   Order a copy of this article
    by Ganda Boonsothonsatit, Poti Chaopaisarn 
    Abstract: This paper aims to develop order penetration point-based supply chain performance optimization for SMEs (OPPO). The OPPO supports identifying critical performance measures and their root-causes, figuring out their intricate interrelations, and optimizing their conflicts in consideration of their relative preferences. It provides the best-fitted solution for Pareto-optimal results. The OPPO development covered nine performance measures which were causally linked for identifying a few of critical performance measures and their root-causes. Their conflicts in consideration of their relative preferences were optimized using weighted max-min fuzzy goal programming (WMM-FGP) for providing Pareto optimality. As a result, supply chain cost and customer lead time were identified as critical performance measures. Their Pareto optimality in consideration of their relative preferences suggests the best-fitted product lot-size and position of order penetration point (OPP).
    Keywords: Supply chain performance measurement; Order penetration point; Optimization; Small and medium-sized enterprises.
    DOI: 10.1504/IJLSM.2020.10031035
     
  • Cloud Computing for Logistics and Procurement Services for SMEs and Raw Material Suppliers   Order a copy of this article
    by Supansa Chaising, Hans-Dietrich Haasis 
    Abstract: For digital technologies to provide new supply chain management opportunities, cloud computing has been becoming extensively in favour of business sectors. It has the ability to fulfil user requirements with on-demand services and low costs. In particular, Small and Medium-sized Enterprises (SMEs) can gain benefits from using cloud computing. Due to SMEs have limited budgets and a lack of contracted suppliers, they thus encounter a problem of procuring raw material from suppliers to meet their requirements such as low prices, on-time delivery, and raw materials quality. Simultaneously, suppliers also need buyers satisfying their sales conditions. Also, they require higher profits from selling their products. Therefore, this study presents cloud computing for logistics and procurement services to support dealing business between SMEs and raw material suppliers. Moreover, a model of cloud computing for logistics and raw material procurement services between shoes SME and rubbers suppliers is proposed in this study.
    Keywords: Cloud Computing; SMEs; raw material suppliers; logistics services; procurement services.
    DOI: 10.1504/IJLSM.2020.10031144
     
  • Greening the grey: measuring adoption of green logistics in Indian logistics sector   Order a copy of this article
    by Shailendra Kumar Singh, Supriyo Roy 
    Abstract: Environmental concerns have drawn extensive attention around the globe. Consequently, logistics firms are looking for means and methods to green their business operations because of an inherent negative relationship between logistics operations (LO) and the natural environment. Considering the sustained economic growth and logistics challenges in India, the present study aims at developing and empirically validating a scale for green logistics practices (GLPs). Drawing on the relevant literature and previous studies, green logistics (GL) is conceptualised as a three a priori dimensions, i.e., strategic, tactical, and operational measures. With data collected from 312 Indian logistics service providers (ILSPs), two measurement models of GLPs were tested using confirmatory factor analysis (CFA). The empirical results indicate that both the first-order and the second-order models of GLPs are reliable and valid. The study provides a parsimonious scale for assessing GLPs. It is expected that the findings would help logistics firms to green their business processes.
    Keywords: green logistics; environmental sustainability; logistics service providers; CFA; India.
    DOI: 10.1504/IJLSM.2020.10031815
     
  • Modelling of Empty Containers Repositioning Problem   Order a copy of this article
    by Hop Nguyen, Trang Luong 
    Abstract: This paper deals with the problem of positioning empty containers in a region including a port with multiple overseas ports and inland depots. A shipping line is required to satisfy demand of empty containers from both regional customers and foreign branches of the same company. Demand and returning containers from both customers and overseas ports per period of time are assumed to be serially-correlated and dependent random variables. We addressed completely integrated models that include both transportation and inventory control for repositioning empty containers. First, a mathematical model is established for current operations including four network elements which are overseas ports, a regional port, local depots and customers. Improved models are proposed to overcome some limitations at each connection link: overseas-port, portdepots, and depotscustomers, respectively. New empty containers moving policy among depots are updated. The objective is to minimise total relevant costs over planning horizon, including inland and overseas transportation costs, order cost, inventory costs and lost sales. A real case study of Vietnam shipping line is investigated to analyse the performance of the improved models over the current model in different aspects.
    Keywords: empty containers; ports; depots; repositioning.
    DOI: 10.1504/IJLSM.2020.10031865
     
  • Impact of combining cross-docking and Vendor Managed Inventory in a retail supply chain   Order a copy of this article
    by Yassine BENRQYA 
    Abstract: The objective of this paper is to examine the impact of combining the cross-docking strategy (XD) and Vendor Managed Inventory (VMI) in a retail supply chain. Particularly, the impact of combining XD and VMI, compared to VMI is investigated. The presented work is based on a case study research methodology. The research was done in collaboration with a Fast Moving Consumer Goods company and a French grocery retailer. A cost model has been developed to compare three different scenarios (1) VMI scenario, (2) a XD scenario, and (3) a combination of XD and VMI. The case study provides two main observations. (1) Compared to VMI, XD is more economical: a 13% reduction of the cost. (3) Combining XD and VMI reduces the supply chain cost by 28%. This paper fills a gap by proposing a cost analysis based on a real case study and by analysing the advantages of implementing different scenarios in the retail supply chain context. Furthermore, the cost model may be used to help managers choose the right distribution strategy for their supply chain.
    Keywords: Retail supply chain; Cross-docking; Vendor Managed Inventory; cost analysis.
    DOI: 10.1504/IJLSM.2020.10031975
     
  • The impact of organizational culture on supply chain integration (Case study: industrial parks of Qazvin province)   Order a copy of this article
    by Zahra Amin Afshar, Safar Fazli 
    Abstract: The increasing emphasis on integration among members of a supply chain has led to new mechanisms to help firms coordinate the flow of products, services, and information through the supply chain. Based on organisational culture theory measured by the competing values framework (CVF), this study developed a theoretical model to explore the effect of organisational culture on three types of supply chain integration efforts: 1) internal; 2) customer; 3) supplier integration and firm performance. However, the supply chain integration has positive effect on performance, organisational culture will be able to reduce or increase this effect. This research performed based on structural equation modelling (SEM), in 134 manufacturing firms in Qazvin province industrial parks. Collected data were analysed by partial least square (PLS) method in order to evaluate the relationship between variables and their impact on each other. Empirical results confirm that flexibility-stability orientation of culture does not significant impact on supply chain integration. Organisational performance positively and significantly affected by supply chain integration especially among internal integration and business performance. We expect that the results of this study help better understand supply chain integration practices and managers take advantages of it.
    Keywords: supply chain integration; organizational culture; internal-external orientation; flexibility-stability orientation; organizational performance.
    DOI: 10.1504/IJLSM.2020.10032277
     
  • Investigating the Transport Flexibility Measures for Freight Transportation: A Fuzzy Best-Worst Method approach   Order a copy of this article
    by Vipulesh Shardeo, Anchal Patil, Ashish Dwivedi, Jitendra Madaan 
    Abstract: Unpredicted disruptions force organisations to ensure flexibility for fulfilling customer demand. Enabling flexibility along the transportation system is the most suitable solution for unpredictable disruptions. Flexibility, being a potential element, requires more attention to gain competitive advantages. In this study, an effort has been made to investigate different transport flexibility measures (TFMs) related to freight transportation. Initially, an extensive literature survey is performed to identify different TFMs linked with the supply chain and logistics domain. Further, an integrated fuzzy best worst method (FBWM) have been adopted to prioritise the identified TFMs and sensitivity analysis is performed to ensure robustness of the model. The findings of the study reflect mode, fleet, vehicle and speed flexibility as the significant flexibility measures for freight transportation. This study will help practitioners, managers and decision-makers associated with freight transportation to make better decisions to ensure flexibility in the freight transportation system.
    Keywords: freight transportation; flexibility; multi-criteria decision making; MCDM; fuzzy best worst method; FBWM; sensitivity analysis.
    DOI: 10.1504/IJLSM.2020.10032319
     
  • Logisticians Behaviour towards Safety Outcomes in Logistics   Order a copy of this article
    by Huinee AuYong, Lilis Surienty Abd. Tal, Suhaiza Zailani 
    Abstract: This study was aimed to assess the relationship between safety-related outcomes and safety behaviour among a sample of 103 logisticians in Malaysia After collection of data from the survey, the data was analysed with SmartPLS software The effect of government support was found larger in safety internalisation than that of personal commitment to safety It was found that moral obligation to be the top significant independent variable in driving the safety behaviour There was a relationship between attitude, subjective norm and perceived behavioural control, and safety behaviour and it provides insights on how logistics firms could improve upon their employees’ safety behaviour Results showed that a variable, number of logisticians, negatively moderated the relationship between safety behaviour and safety performance.
    Keywords: Occupational Safety and Health (OSH); Safety Management; Safety Performance; Sustainability; Third Party Logistics (3PL).
    DOI: 10.1504/IJLSM.2020.10032436
     
  • COORDINATING A THREE-STAGE SUPPLY CHAIN USING BUY-BACK AND REVENUE SHARING CONTRACTS   Order a copy of this article
    by Huynh Trung Luong, Anuradha Colombathanthri 
    Abstract: In this research, a composite contract model is developed for coordinating a three-stage supply chain which consists of a manufacturer, a distributor and a retailer. The relationship between the distributor and the retailer is coordinated using a revenue sharing contract, while the relationship between the manufacturer and the distributor is coordinated using a buy-back contract so as to encourage the distributor to order more. Mathematical models for these contracts are derived and analyzed through numerical experiments to identify the optimal order quantities, the coordination conditions, the effects of the contract parameters and to identify the best possible contract parameter values which can lead to a win-win situation.
    Keywords: Supply chain; Buy-back Contract; Revenue sharing contract; Three-stage coordination.
    DOI: 10.1504/IJLSM.2020.10033110
     
  • Identifying a catalyst for demand uncertainty within inventory management forecasting   Order a copy of this article
    by Aletta Tolmay, Ndivhuwo Nemtajela 
    Abstract: The problem addressed by the research reported on in this paper is that the fast-moving consumer goods sector is faced by high levels of demand uncertainty which, in turn, leads to high levels of out-of-stock (OOS) events. A lack of research on this topic still prevails and more research is invited, especially in developing countries. This study aimed to investigate which of qualitative and quantitative techniques acts as a possible catalyst towards demand uncertainty. This research was conducted through a survey and the data was collected by a questionnaire distributed to the employees of five companies within the South African FMCG sector. The unit of analysis was the perceptions of employees regarding their understanding of the concepts ?qualitative forecasting?, ?quantitative forecasting? and ?catalyst for demand uncertainty?. It was found, using path analysis, that qualitative rather than quantitative forecasting techniques act as a possible catalyst towards demand uncertainty.
    Keywords: Inventory management; demand uncertainty; qualitative forecasting; quantitative forecasting; forecasting catalysts.
    DOI: 10.1504/IJLSM.2020.10033287
     
  • Efficient Solutions of Time versus Cost Transportation Problems   Order a copy of this article
    by C. Muralidaran, B. Venkateswarlu 
    Abstract: In time versus cost transportation problem, the time duration for shipping units and the unit cost for transporting are considered in the classical transportation problem. In such situations, the main objective is to find effective solutions instead of just trying to minimise the total transportation cost. The balancing solution to this problem may be found by reaching a compromising solution in terms of both the criteria of cost and time. A new method is proposed to solve this problem named as root searching. It is an effort to discover a set of efficient solutions and the most efficient solution of the time versus cost transportation problems. Efficiency may be moderating the solutions devoid of extreme measures. One solution is of minimised total transportation time and the other is minimised total transportation cost. It shall certainly bring great benefit and give support to decision-makers.
    Keywords: multi-criteria optimisation; total transportation time; transportation problem.
    DOI: 10.1504/IJLSM.2020.10033630
     
  • An analysis of third party logistic selection criteria in oil and gas sector: An integrated SWOT   Order a copy of this article
    by Sharfuddin Ahmed Khan, Radi M.Radi, Syed M. Ali, Esam H. Zahran, Amro H. Al Sahtout, Saad A. Ldin Esam 
    Abstract: Outsourcing logistics activities has become an essential topic and considered by several academician and practitioners in literature. In this paper, we have considered a problem that an oil and gas company in Middle East is facing in their logistics selection criteria for outsourcing. Our proposed research methodology adopted both qualitative and quantitative approach. A well-structured integrated method based on strengths, weaknesses, opportunities, and threats (SWOT) and analytical hierarchy process (AHP) have been used to identify relevant criteria of third-party logistics service provider (3PLSP) and subsequently rank them. Proposed research methodology has been implemented in an oil and gas company as a case study. Results shows that highest ranked criteria under strength, weakness, opportunity, and threats of considered case company are operational accuracy (20.4%), operational speed (51.6%), transportation costs (12.4%), and insurance costs (15.6%) respectively. This study has several managerial and practical implications which are discussed at the end.
    Keywords: outsourcing; third party logistics selection criteria; SWOT analysis; AHP; oil and gas sector.
    DOI: 10.1504/IJLSM.2020.10033631
     
  • Dynamic models of production-finance activity of enterprises in conditions of uncertainties and risk   Order a copy of this article
    by Aleksandr Mishchenko, V.V. Solodovnikov, Tamara Apal'kova 
    Abstract: The problem of optimal management of various types of production resources in conditions of uncertainty and risk taking into account recoverable and unrecoverable defects is relevant and necessary to ensure the competitiveness of modern industrial enterprises. The aim of the research is to develop mathematical tools for evaluating the effectiveness of industrial logistics systems, taking into account uncertainty and risk. The paper presents a set of dynamic optimisation models for evaluating the effectiveness of industrial logistics systems, the solution of which is a vector function of time, which sets the productivity of production operations according to the criterion of profit maximisation, taking into account a number of constraints. The results of this work are the development of: the complex of optimal control models taking into account uncertainty and risk, the tool to convert an optimal control problem to linear programming model, the evaluation mechanism of the stability of solutions under changes in the prices of end products, risk assessment methods of the obtained solution. The practical use of the developed tools was shown in evaluating the effectiveness of the investment program of the manufacturer of computers.
    Keywords: optimisation models; production activity; uncertainty; recoverable and unrecoverable defects.
    DOI: 10.1504/IJLSM.2020.10033871
     
  • A Genetic Algorithm for Integrated Hub Covering-Routing Problem Considering Forbidden Paths   Order a copy of this article
    by Ashkan Ayough, Behrooz Khorshidvand, Fatemeh Adibrad 
    Abstract: In this study, a new mathematical model is provided for the Hub Covering-Routing Problem (HCRP) through an extension of the Traveling Salesman Problem (TSP). The objective of HCRP is to minimize the total related costs. A new Integer Linear Programming (ILP) model has been formulated. The main decision variables are to determine the tours and how to use the hubs in the way that total cost can be minimized. Since the proposed model has a computational complexity, a Genetic Algorithm (GA) is developed for solving the model in real-world sizes. The results show that the proposed model and solution method are useful for dealing with real-world problems. The computational results show that the proposed GA, in the small-scale instances, can provide efficient results compared to GAMS outputs so that the gap between results is, on average, 1.2%.
    Keywords: hub covering problem; traveling salesman problem; forbidden paths; GA.
    DOI: 10.1504/IJLSM.2020.10033956
     
  • A fuzzy decision-making methodology for third-party logistics selection in the existence of the company’s policy priorities: Case of household appliance manufacturer   Order a copy of this article
    by Bengie Omar Vazquez Reyes, João C. Colmenero 
    Abstract: This paper provides a four-phase fuzzy decision-making multi-criteria (FMCDM) methodology for the 3PL provider selection in the existence of the company’s policies priorities in an uncertain environment. First, a hierarchical structure determines the selection criteria and potential providers. Then, fuzzy stepwise weight assessment ratio analysis (fuzzy SWARA) implements priorities based on the company’s policy and determines the weights of subjective criteria regarding decision-makers’ degree importance. Next, fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) evaluates the providers regarding decision-makers’ preferences and determines the ranking of the alternatives. Lastly, sensitivity analysis verifies the impact of each criterion concerning the selected alternative and a business dashboard validates the results of the proposed methodology in a Brazilian household appliance manufacturer. Findings indicate that the outsourcing logistics decision is made based on policies oriented to safety and environment standards, and requirements of logistics service quality, cost-effectiveness, and operational performance.
    Keywords: logistics outsourcing; decision making; priorities setting; company policy; fuzzy logic; SWARA; stepwise weight assessment ratio analysis; TOPSIS; technique for order preference by similarity to ideal.
    DOI: 10.1504/IJLSM.2020.10034028
     
  • The effect of order batching on a unidirectional cyclical picking line's completion time   Order a copy of this article
    by Stephan E. Visagie, Flora M. Hofmann 
    Abstract: An investigation into the effect of order batching in an order picking system that uses a unidirectional cyclical picking line forms the main focus of this paper. The three main actions of pickers are to walk, pick and prepare cartons. The total amount of work for the last two actions remains constant, rendering the minimisation of walking distance as the main objective when minimising the total picking time. Batches are formed to minimise walking distance. The question thus arise what is the total time saving before and after batching. This picking system is modelled with a discrete event simulation. Historical data were compared to the output of the simulation for validation of the simulation. The simulation represents the real world picking system satisfactorily. The simulation runs also show that the order batching heuristics that aim at minimising walking distance reduces the overall picking time by up to 21%.
    Keywords: order batching; route overlap metrics; picking location metrics; discrete event simulation; pick density; unidirectional cyclical picking line; order picking system.
    DOI: 10.1504/IJLSM.2020.10034080
     
  • A non-stationary queuing approach and Genetic Algorithm for the optimization of Truck Appointment System in a Container Terminal in Casablanca City   Order a copy of this article
    by Sara Belaqziz, Fatima Bouyahia, Saâd Lissane Elhaq, Jaouad Boukachour 
    Abstract: Due to the increasing container traffic, many terminals face a considerable number of truck arrivals. This situation leads to congestion problems at the gates and generates serious air pollution while decreasing terminal efficiency. To consider this issue, many terminals use a truck appointment system. However, the latter should take, necessarily, into account the terminal’s local conditions to ensure a satisfying performance. In the present work, one proposes an appointment model to control truck arrivals in one of the busiest terminals in Morocco. The model is based on an improvement of the approximation approach related to the queue length estimation. The treatment adopts a genetic algorithm with a novel testing scenarios highlighting more the solution performances by crossing several basic existing scenarios. Then, some numerical experiments are conducted based on literature works data to calibrate the model and ensure its accuracy. Finally, the best configuration was approved for the local Terminal.
    Keywords: container terminal; appointment system; queuing time; optimization; genetic algorithm; mutation.
    DOI: 10.1504/IJLSM.2020.10034307
     
  • Applying Blockchain-Based Smart Contracts to Eliminate Unfair Trading Practices in the Food Supply Chain   Order a copy of this article
    by Yevhen Kononets, Horst Treiblmaier, Miroslava Rajčániová 
    Abstract: In this paper we critically evaluate the applicability of blockchain-based smart contracts to reduce unfair trading practices (UTPs) in the food supply chain. Face-to-face interviews and a quantitative survey were used to collect and analyse the opinions of 20 experts in blockchain and food supply management. The results show that contractual parties with asymmetric bargaining power along the food supply chain can implement blockchain-based smart contracts to reduce the negative impacts of UTPs. The creation of templates for such types of contracts and promotion by regulative authorities could help their dissemination. This is the first study to explore the applicability of blockchain-based smart contracts in the food supply chain and its impact on UTPs. We especially focus on the needs of small and medium-sized food producers and farmers who experience negative impacts on their businesses due to existing power asymmetries.
    Keywords: Unfair trading practices; food supply chain; blockchain technology; smart contract; contract efficiency; empirical research; interviews with experts.
    DOI: 10.1504/IJLSM.2020.10034354
     
  • Lean/Experience feedback for sustainable logistics management within industry 4.0 perspective: a new approach based on survey study evidence in Morocco.   Order a copy of this article
    by Salima Hammadi 
    Abstract: Industrial performance has become the main aim of production systems regarding the actual competitiveness pressure, industrial development and environment constraints. Hence, dealing with maintenance from a logistics vision to define maintenance logistics system is a new promising framework boosting availability improvement and industrial performance. A survey study was conducted in the Moroccan industrial context to evaluate industrials’ perception about lean implementation benefits in maintenance logistics, concluding its positive impact on four fields of benefit among others maintenance logistics environment and human factor culture which is considered the most difficult to align on the lean culture. In addition, the human factor perspective, being an important key to reach sustainable performance, still stays poorly exploited in maintenance area. To activate human factor potential, we define the sustainable maintenance logistics framework covering all maintenance resources. To this end, we propose a new sustainable map integrating lean culture and experience feedback within industry 4.0.
    Keywords: sustainable maintenance logistics; lean culture; experience feedback; maintenance logistics environment; human factor culture; industry 4.0.
    DOI: 10.1504/IJLSM.2021.10034735
     
  • Providing a two-objective mathematical model to design a green reverse logistics network with vehicle routing   Order a copy of this article
    by Hadi Shirouyehzad, Marzieh Shayannejad, Mahdi Alinaghian 
    Abstract: Today, assurance of sustainable development depends on the preservation and the efficient use of limited resources which can't be replaced, due to environmental issues, legal requirements and economic benefits of restoration activities have led to more consideration of the reverse logistic activities In recent years, reducing the environmental impacts of human activities have been paid more attention Also, since the vehicle routing plays a significant role in reducing the logistic transportation costs, providing such a model for minimising these sorts of costs is crucial This paper studies a two-objective mixed integer non-linear programming model to design a multi-product and multi-level green reverse logistics network using vehicle routing in view of their capacity The proposed model is able to minimise the environmental impact along with minimisation of traditional cost For solving the model in large-scale, two meta-heuristic algorithms including non-dominated sorting genetic algorithm-II and multi-objective particle swarm optimisation algorithm have been used.
    Keywords: green reverse logistic; mixed integer non-linear programming; meta-heuristic algorithms.
    DOI: 10.1504/IJLSM.2020.10034794
     
  • Green GAS Heuristics for the Routing Problem   Order a copy of this article
    by Narassima MS, Sachin Sreekumar, Ram Narayan S, Devnath ES, Ganesh K, S.P. Anbuudayasankar, Sathish Kumar VR 
    Abstract: Logistics and supply chain management can provide a number of ways to improve the efficiency and productivity across the supply chain which in turn contributes significantly to greater economies of scale. One of the ways to achieve this is by ensuring proper quantities of storage at the point of demand and ensuring the best possible distribution plans, including routing of the distribution vehicles. There has been a sudden surge in the amount of CO2 emissions in recent years and therefore a regulation on these emissions is the need of the hour. This inventory routing problem aims at integrating the routing of vehicles used for collection and distribution. In this paper, a three-staged method named GAS: Grouping of nodes, Allocation of the right quantities to these nodes and Serving through these grouped nodes is proposed. The proposed method is made greener by considering the Carbon footprint in the chain and will provide optimal solutions that can be implemented in distribution systems in a supply chain.
    Keywords: Heuristics; Logistics; Routing Problem; Sustainability.
    DOI: 10.1504/IJLSM.2020.10034932
     
  • Developing a Conceptual Model for a Market Integration and Integrated Shipping Industry: A Case Study between Peninsular Malaysia and Sabah   Order a copy of this article
    by Siti Marsila Mhd Ruslan  
    Abstract: Price disparity between Peninsular Malaysia and Sabah has been a long debated issue. Over the years, industry players, political parties, and non-governmental organisations have argued on the main reasons for price differences for Sabah’s manufacturing and export industry’s stunted growth. This paper intends to study the case of market integration and shipping industry by taking the case between Peninsular Malaysia and Sabah; conducted by qualitative measures. Based on the issue arises, a conceptual model is developed which can be a basis for further studies of logistics industry in Malaysia. There is a need for further research on this topic, especially the role of government-market player context as well as from supply chain perspectives.
    Keywords: conceptual model; market integration; shipping industry; Peninsular Malaysia; Sabah; supply chain.
    DOI: 10.1504/IJLSM.2020.10035055