International Journal of Logistics Systems and Management (102 papers in press)
Logistic Resources Allocation in Supply Chains: A Utility Decentralized Optimization Approach
by Doraid Dalalah
Abstract: In this paper, a continuous review policy in a supply chain is considered in which risk averse suppliers ship products to their corresponding retailers. The suppliers non-cooperatively compete by acquiring more logistic resources of the supply chain to satisfy the random retailers demand so as to increase their benefits in a decentralized manner. An optimization problem is formulated to model this SC with two main constraints: the demand and the stocking delays. The solution allocates the suitable shipping rates that increase the social benefit of the supply chain players. Different experiments were conducted to validate and demonstrate the merits of the model. It was found that the shipping protocol employed at the supplier side rapidly drives the SC to optimal shipping rates that maximize the utilities in decentralized approach. The model can be applied to fast response supply chains such as short shelf-life products, food supply chains, blood supply chains and perishable items.
Keywords: Supply Chains; Resource allocation; Inventory; Utility; Non-Linear Optimization.
Farm Level Sustainable Cotton Supply Chain Management, an Empirical Study of Pakistan
by Sonia Nazeer, Puwanart Fuggate, Muhammad Shafiq
Abstract: Cotton is a highly non-sustainable crop due to the requirement for substantial amounts of water and energy resources in the overall supply chain, from farm to finished product. There is a need to assess the sustainability of the cotton supply chain management system which may be achieved through more reasonable use of inputs and resources, hence lesser environmental impact, while maintaining sustained income for farmers. This research investigates the current status of sustainability in the farm level cotton supply chain and explores the influence of sustainability paradigms (economic, environmental and social) on farmers' supply chain management decisions. A survey was held (157 small and medium level cotton farmers) and data was analysed using the SPSS software with descriptive statistics of t-test, correlations and regression analysis. Results shown that small and medium level farmers are only focused on using less expensive inputs, with little concern for environmental and social matters.
Keywords: Sustainable cotton supply chain management (SCSCM); Cotton supply chain management (CSCM) Cotton sustainability factors (CSF); Sustainable cotton growers (SCG).
THIRD PARTY LOGISTICS PROVIDERS: SUSTAINABILITY PERFORMANCE MEASUREMENT FRAMEWORK
by Jirapan Liangrokapart, Yurawan Nitisaroj
Abstract: Over the past two decades, the concept of outsourcing has driven the growth of third party logistics (3PL). Intensive competition led to the necessity of sustainability for 3PL firms. Although there are studies on 3PL sustainability; there is no comprehensive framework for measuring 3PL sustainability performance. Based on triple bottom line (TBL) framework, the purpose of this paper is to develop a sustainability performance measurement framework for 3PL, which can be used as a guide for the development of sustainable 3PL businesses. Related research and academic papers were reviewed; content analysis was used. Subsequently, two rounds of Delphi survey were carried out to derive the set of measures and dimensions of a sustainability performance measurement framework. This study shows that in addition to the TBL framework, two additional dimensions emerge. Sustainability performance measurement framework for 3PL includes five dimensions: economic performance, environmental performance, social performance, operational excellence and service capabilities.
Keywords: Outsourcing; Performance Measurement; Sustainability; Sustainability Framework; Third Party Logistics Providers; Logistics Service Provider.
Optimal inventory strategies for two-echelon supply chain system involving carbon emissions and fuzzy deterioration
by S. Priyan, P. Mala, R. Gurusamy
Abstract: The industry sector is an vital direct and indirect source of carbon emissions. Today industries are looking for solutions to reduce carbon emissions associated with their operations. Operational adjustments, such as modifications in batch sizes or order quantities, have proven to be an effective way to decrease emissions. This paper provides a new mathematical model which integrate cost and emissions in transportation and storage to execute optimal operational adjustments for deteriorating products under the framework of two-echelon inventory system. The deterioration rate is treated as the triangular fuzzy number, and we use the extension principle to find the membership function of the fuzzy total cost and defuzzify by the centroid to find the estimate of the total cost in the fuzzy sense. Numerical example is performed to show the effectiveness of the proposed model, and several managerial insights are observed from sensitive analyses which may help both the government and the industry to adopt appropriate carbon reduction regulations.
Keywords: Deteriorating product; Fuzzy number; Centroid method; Carbon emission.
The Role of Logistics Strategy on Firm Performance of Garment Industry in Bangladesh
by Md. Sazzadur Rahman Khan, Vichayanan Rattanawiboonsom
Abstract: The logistics strategy has an indispensable effect on routine decision making and imminent arrangements of the firms. The objective of this study is to examine the effects of logistics strategy on firm performance, e.g., tangible and intangible benefits of garment industry in Bangladesh. The study utilised quantitative method and furthermore recognises confirmatory factor analysis (CFA) to examine the association between observed variables and latent constructs. This research exploits SPSS version 20 and structural equation model (SEM) based on AMOS version 23 to analyse the data surveyed in the 120 garment factories positioned in export processing zone in addition to domestic factories of Bangladesh. The results reveal that logistics strategies are not significantly (p ? 0.05) associated with tangible and intangible firm performance of garment industry. The findings emphasise about upgradation of logistics infrastructure to formulate appropriate strategy in the garment industry of Bangladesh.
Keywords: Keywords: inventory strategy; low cost strategy; purchasing strategy; information flow; resource based view (RBV); structure conduct performance (SCP); firm performance; garment industry.
Process-based Common Supply Chain Management Practices in Manufacturing Firms.
by Maqsood Memon, Bruce Gurd, Hussain Bux Marri
Abstract: Present study explore common supply chain management practices (SCMPs) and investigate how these practices facilitate the development of supply chain capabilities. The study adopts an exploratory case study approach with the content analysis of the data collected through semi-structured interviews, followed by site visits to 14 Australian manufacturing firms. The findings show six common SCMPs in the case study firms. Findings also demonstrate how these practices promote and further develop inter-organisational and intra-organisational integration, coordination for increased responsiveness and delivering valued services to customers in supply chain. The practices explored can be used as a supply chain framework for the manufacturing industry which can provide an effective tool for developing increased responsiveness in the supply chain through capabilities of integration, coordination and valued services delivery. Moreover, this study for the first time explores how supply chain capabilities emerge from SCMPs and how do both differ.
Keywords: Supply chain management practices; Supply chain management capabilities; manufacturing firms; case study.
Exploring the factors that drive Use of Self-Service Technologies in Air-travel in an African country
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.
Distance Metrics Matter: Analysing Optimisation Algorithms for the Last Mile Problem
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.
Simulation-based optimisation of replenishment policy in supply chains
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.
Adoption Level of Maritime Green Supply Chain Management: Preliminary Findings from a Pilot Study
by Yudi Fernando, Muhamad Fairuz Ahmad Jasmi, Ishak Ismail
Abstract: It is essential to investigate the awareness of maritime industry concerning environmental practices that could cause damage and pollution to coastal and marine ecosystems. The perception of maritime firms in Malaysia was examined with a view to understanding the adoption level of maritime green supply chain management and its correlation with financial outcomes. Three statistical tests were utilised. The first adopted assessment was the internal consistency test which measured the scale reliability. Afterwards, the different variations among group means level of adoption (seed, start-up, expansion, monitoring and control) in the sample was examined using one-way ANOVA analysis. The results showed that the aggregate value of MGSCM practices has positive correlation with maritime supply chain financial efficiency. This paper, apart from establishing that small sample size is sufficient for a pilot study. It is necessary to conduct a pilot study prior the actual data collection.
Keywords: maritime; green supply chain management; green adoption; financial performance; pilot study.
Assessing Logistics Capability for the Australian Courier Firms
by Michael Wang
Abstract: The purpose of the paper is to identify and assess the logistics capability in the Australian courier firms. Logistics capability is an important ability for transport and logistics firms to deliver the value and services to the customers. It may directly influence both firm performance and customers experiences. An empirically validated measurement model of logistics capability for Australian courier firms is presented in the paper. Empirical data is collected through a web-based survey. According to the factor analysis, the key underlying factors of logistics capability has been identified in the Australian courier firms. They are including operation flexibility-focused capability, innovation-focused capability and process optimisation-focused capability. The results indicate that the Australian courier firms have relatively strong logistics capabilities. The implication of the measurements of logistics capability is not only for further studies, but also it provides practical guidance for policy-making and developing the logistics capability to achieve sustainable competitive advantage. It also contributes to the literature in courier and logistics. Moreover, the findings help both academics and practitioners to gain a better understanding of logistics capability in the courier industry.
Keywords: logistics capability; logistics management; courier; Australia.
Outcome of Selective Dis-integration on Supply Chain Efficiency and Organisation Performance
by P. D. D. Dominic, Sarit Maitra, Parthiban Palanisamy
Abstract: Supply chain has become the spine of commerce. Business today consistently demanding coordinated and integrated way to manage the supply and demand flow. Marketplace has evolved into a dynamic, customer centric smarter and agile ways of working. This has prompted to relook at the information technology (IT) linked integration. IT and systems integration are facilitating supply chain management (SCM) for improved supply chain efficiency (SCE). This study examined the direct relationship between SCI and SCE and SCI and PER (organisation performance) and the relationship between SCE and PER by classifying different variables associated and drawing an analytical model. Furthermore, to fit into the demand driven economy, this study introduces a new attribute named selective dis-integration (DIS) and examined its impact on SCE and PER. Data sample for this study are collected through mixed survey and model is tested using non-parametric partial least square regression.
Keywords: Information Technology; Organisation Performance; Supply Chain Management; Supply Chain Integration; Supply Chain Efficiency; Dis-integration.
Advancements in Industrial Supply Chain through Lean Implementation
by Ahmed Zainul Abideen, Fazeeda Binti Mohamad
Abstract: Previously, lean management was adopted to reduce wastes in the core production processes. But now, it has started addressing issues in other operational scenarios. Its scope can be expatiated several notches higher, even after attaining
Keywords: Lean; Lean Supply chain Management; Green; Green Supply Chain; Agile Supply Chain.
Mixed contracts for supply chain management based on newsvendor problem by including real option and classic contract with continues demand
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.
Interpretive Structural Modeling Approach to Assess Financial Attributes of the Air Cargo Industry
by Robert Walton, Aman Gupta, Ronald Mau
Abstract: Air cargo represents about one-third of the total value of global trade carried and is therefore an essential player in the world economy. Monitoring the financial stability of air cargo carriers is vital to the industry, governments, and stakeholders. To detect financial difficulties within the aviation industry numerous prediction models have been developed, but most focus on the passenger airlines. In addition, these prediction models typically do not take into account essential non-statistical factors. This paper identified qualitative factors that could influence the financial health of all-cargo airlines and attempted to understand the interaction among them. The factors were identified based on previous research and validated by expert opinions. Interpretive structural modelling (ISM) was used to determine any mutual influences among the factors. Further, the ISM methodology was able to establish the level of the factors and determine their driving power and dependence. The results are very useful for air cargo management in that they can use the findings of this study to overcome dominant factors.
Keywords: Air cargo; Bankruptcy; Financial models; Interpretive Structural Modelling; ISM.
Fuzzy bi-objective inventory-routing problem for blood products in a hospital network during disasters: two multi-objective meta-heuristic approaches
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.
Reducing Post Harvest Losses of Fruits and Vegetables through Supply Chain Performance Evaluation: An illustration of the application of SCOR Model
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.
Multi-item two warehouse inventory model for deteriorating item under partial credit period via Contractive Mapping Genetic Algorithm and PSO
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.
A robust optimization approach for designing a multi-echelon, multi-product, multi-period supply chain network with outsourcing
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).
Product Mix Decisions with Complete Shipment and Multiple Physical Resources as Constraints
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.
Entry and Governance Modes in International Franchising: A case study
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 franchisors 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.
Adaptive Synchronization of Supply Chain System using Sliding Mode Control
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.
Shopper Attitudes about Privacy and the Likelihood of Disabling an RFID Tag
by Ronald B. Larson
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.
Traffic Time Series Forecasting on Highways - A Contemporary Survey of Models, Methods and Techniques
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.
An exploratory study on logistician professional competencies: the case of Lithuanian logistics companies
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.
An Elastic Constraint Method for a Multi-objective Production-Distribution Planning Problem with Competition
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.
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
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 specic 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.
An Inter-Organizational Decision Support System for Global Supply Chain Management
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.
The Multi-Vehicle Traveling Purchaser Problem with Priority in Purchasing and Uncertainty in Demand
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.
Performance analysis and organization of a supply chain Case study of butane import at Mohammedia port.
by Ahmed Loukili, Lissane Elhaq Saad, CHERQAOUI F.Z. CHERQAOUI Fatima Ezzahra
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.
Role of automotive engineering changes in an emerging market
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.
Greedy iterative genetic algorithm for the volume based cross dock transportation problem associated with fixed charge
by Rajagopalan Sridharan, Solomon Joseph
Abstract: Cross docking is a distribution method wherein the products from inbound vehicles are loaded directly onto outbound vehicles with a minor or no storage in between. The fixed charge cross dock transportation problem (FCCDTP) involves determining the optimal method of loading and routing the vehicles in a cross dock system with minimal fixed and variable cost of transportation. In this paper, the FCCDTP with the volume-based quantification of products is formulated as a mixed integer linear programming model. The model is solved using the optimisation software LINGO solver, the proposed GA with variable neighbourhood search (GA-VNS) meta-heuristic and the proposed greedy iterative genetic algorithm (GIGA) meta-heuristic. The data for the problems are obtained from a real-life logistics company. The analysis of results reveals that the proposed GIGA meta-heuristic provides lesser total transportation cost as compared to the GA-VNS meta-heuristic.
Keywords: Fixed charge; cross dock transportation; meta-heuristics; greedy iterative genetic algorithm; variable neighbourhood search.
Multicriteria optimisation under the conditions of uncertainty in logistics and supply chain management
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.
Key decision-making areas of automotive engine remanufacturing: a case study
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.
Modeling Incentive Policy on Truck Sharing Economy Concept: Current State and Literature Review
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.
TACTICAL SUPPLY CHAIN PLANNING SUPPORTED IN A GRASP/MIP HEURISTIC
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.
Stage-wise Responsiveness in Supply Chain: Reference from Indian Garment Industry
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.
Maximising net present EVA for the design of a supply chain network using a hybrid analytical-simulation algorithm
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.
Green Supply Chain Barriers Analysis using Interpretive Structure Modelling (ISM)
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).
A Multiple Ant Colony System with Random Variable Neighborhood Descent for the Vehicle Routing Problem with Time Windows
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.
Commitment as a buyer-supplier antecedent for supply chain sustainability
by Aletta Tolmay, Sumei Van Antwerpen
Abstract: The South African automotive industry is an important sector that contributes substantially to the countrys 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.
The Effect Of Halal Retail And Manufacturing Technology Readiness On Halal Meat Logistics Performance
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.
INLAND PORTS: NEW DIMENSIONS IN THE TRANSPORTATION STRUCTURE OF SRI LANKA
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.
E-fulfilment in grocery retailing: design insights for a store-based distribution system
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.
On the port of Valencia maritime network. A complex network approach
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.
On Adoption of Green Logistics: A Literature Review
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.
A DEA Model for Evaluation of Efficiency and Effectiveness of Sustainable Transportation System: A Supply Chain Perspective
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.
Improving sustainable consumption and production in the supply chain: The role of eco-innovation practices
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.
Effects of Produce Perishability, Supplier Geographical Distance, and Supplier Quality Performance on Buyer Control in Agri-food Supply Chains
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.
Piece-wise Objective Optimization Model for Inventory Control Integrated With Supplier Selection Considering Discount
by Sutrisno Sutrisno, Widowati Widowati, R. Heru Tjahjana
Abstract: This research proposes a mathematical model in a piece-wise objective integer with quadratic programming to accommodate discount in purchase, holding and transport costs on an integrated inventory control and supplier selection problem. The proposed model can be used to determine the optimal decision, specifically, the quantity of product ordered by the decision maker and the quantity stored in the inventory should have minimal effect on the total cost. To evaluate and illustrate how the proposed model could be used to solve the problem, a numerical experiment was performed involving four suppliers with three types of product. According to the results, the model helped in making optimal decisions, specifically, the optimal product volume ordered from each supplier at each period and the product volume stored in the inventory followed the reference level decided by the decision maker.
Keywords: purchase discount; supplier selection; inventory control.
Identification of challenges and their solution for Smart supply chains in Industry 4.0 scenario: A Neutrosophic DEMATEL approach
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.
A Review Of Sustainable Reverse Logistics: Approaches And Applications
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.
Determination of Challenges and Driving forces of Green Supply Chain Management in Indian Manufacturing Industries: A Critical Review
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.
The Role of Lean Sustainable Logistics in Business Operations
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 Pearsons 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; Pearsons Correlation; Lean Sustainable Logistics; Causal Linkage.
Mapping operations research in project management: A bibliometric analysis
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.
A Comparison of Cargo Securing on Laden/Unladen Container Trucks
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.
A Delivery Oriented Order Picking Policy with Batching for a Randomized Storage Warehouse
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.
In-plant lean logistics management: Case study on Chinese automotive practices
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.
ADAPTIVE INERTIA WEIGHT PARTICLE SWARM OPTIMIZATION FOR A MULTI-OBJECTIVE CAPACITATED VEHICLE ROUTING PROBLEM WITH TIME WINDOW IN AIR FREIGHT FORWARDING
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.
Personal relationships and Agency Conflicts: Case of Buying and Supplying firms in Australia
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.
A conceptual model for benchmarking transshipment ports:The case of Tangier-Med and Algeciras Bay
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.
Third-party reverse logistics service provider selection approaches and criteria: A literature review
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.
Proposal of a supplier evaluation and ranking method based on fuzzy AHP and fuzzy TOPSIS
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.
Service Supply Chain Management: A literature review
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.
A new distributed optimization approach for home healthcare routing and scheduling problem
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.
Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA
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.
Logistics outsourcing by Moroccan manufacturing ?rms: A qualitative study
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.
Logistics Specialist Selection with Intuitionistic Fuzzy TOPSIS Method
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.
Supply Chain Performance in the era of Digitisation: The role of Electronic Supply Chain Management
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.
Assessment the effect of the practical relationships and performance of supply chain food companies in Bosnia and Herzegovina
by Adis Puka, eljko 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.
An EOQ model for deteriorating item with time-dependent demand and partial backlogging: advance payment policy
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.
The Effectiveness of Parcel Locker that Affects the Delivery Options among Online Shoppers in Kuala Lumpur, Malaysia.
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.
Green performance evaluation and ranking hotels using Fuzzy Promethee
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.
A multi-objective analysis of a petroleum transportation network under uncertainty
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.
Operational Policies Based on Fare-Box Revenue Management of Indian Railways
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.
E-Procurement, Supply Chain Performance and Inter-Organizational Communication
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.
A System Thinking Conceptual Model for Oil and Gas Complex Systems
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.
Personal Relationships and Supply Chain Communication: An Exploratory Case Study of Buyers and Suppliers of Logistics Service Provider
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.
Ranking US Airlines
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.
A simulation-optimization approach to determine optimal order-up-to level for inventory system with long lead time
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.
Supporting flexibility of kit preparation for mixed-model assembly
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.
ANALYSIS OF CONTAINER PORT SELECTION CRITERIA FROM THE IMPORTERS PERSPECTIVE: A STUDY IN SOUTHERN BRAZIL
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.
Integrative conceptual framework to support decisions on warehousing operations in forward and reverse flow
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.
Study and Analysis of Supply Chain Strategic Drivers for Business Value Creation in Battery Industry
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.
Optimal Collection Policies for Returned Products in the Reverse Supply Chain
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 firms 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.
CAN ICT BASED PROCESS INNOVATION IMPROVE LOGISTICS SERVICES?
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.
Order Penetration point-based supply chain Performance Optimization for SMEs (OPPO)
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.
Cloud Computing for Logistics and Procurement Services for SMEs and Raw Material Suppliers
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.
Greening the grey: measuring adoption of green logistics in Indian logistics sector
by Shailendra Kumar Singh
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.
Modelling of Empty Containers Repositioning Problem
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.
Impact of combining cross-docking and Vendor Managed Inventory in a retail supply chain
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.
The impact of organizational culture on supply chain integration (Case study: industrial parks of Qazvin province)
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.
An Analysis of Sustainable Production and Consumption Challenges: Using PEST-AHP Approach
by Sunil Luthra, Shivam Goyal, Dixit Garg
Abstract: With the increase in pollution level, everyone, i.e., government, producers or consumers, all are bound to work for sustainability. Sustainable production and consumption (SPC) is the utmost need of the nation to promote the concept of sustainable development. But, there are various barriers in the way of SPC. The aim of this research work is to find all these barriers in the way of SPC. In this work, by political, economic, social, and technological (PEST) analysis, 15 barriers towards SPC adoption has been found from literature survey and experts input. Analytical hierarchy process (AHP) methodology has been applied to find the relative weights and rank all the barriers. Sensitivity analysis has been performed to check the robustness of the output obtained. This work will be very useful for government, policy makers, researchers, practitioners and managers in decision making to adopt SPC practices and will result in sustainable development.
Keywords: sustainable production and consumption; SPC; challenges; political; economic; social; and technological; PEST; analytical hierarchy process; AHP; sensitivity analysis.
Antecedents of Blockchain Technology Application among Malaysian Warehouse Industry
by Siti Norida Wahab, Yi Ming Loo, Chee Seng Say
Abstract: The purpose of this research is to ascertain the most influential factor that affects the blockchain technology adoption intentions in Malaysian warehouse operations. The unified theory of acceptance and use of technology 2 acts as the underpinning theory and from a comprehensive literature review, five factors have identified to be incorporated in the conceptual framework development. Numerous studies covering the use of a wide range of technologies in the warehouse industry can be found in recent literature. However, it should be noted that, for studies relating to the intentions and application of blockchain technology in the Malaysian warehouse industry, this research would appear to be a pioneering work. Given the countless advantages of blockchain technology adoption, it is crucial that the Malaysian warehouse industry would seriously consider its application as standard business practices. This paper bridges the theoretical gap that will help to identify the opportunities for blockchain technology applications.
Keywords: blockchain technology; warehouse operations; technology application; business practices.
Investigating the Transport Flexibility Measures for Freight Transportation: A Fuzzy Best-Worst Method approach
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.
Logisticians Behaviour towards Safety Outcomes in Logistics
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).
Literature review on successful JIT implementation: benefits, obstacles and critical success factors
by Fatima Ezzahra Sebtaoui, Ahmed Adri, Said Rifai
Abstract: The aim of this paper is to review the literature related to just-in-time (JIT) implementation. After going through a large number of papers related to the subject, the JIT implementation practices employed by successful manufacturing organisations have been extensively reviewed and analysed. This study also discusses the critical success factors and facilitators of JIT implementation in an organisation, and contains a comprehensive listing of publications in the field of JIT implementation. The study has reported 21 different benefits obtained by companies after a successful JIT implementation. In addition, this research reduces the list to identify the essential benefits that must be focused on. The study further indicates that management commitment, quality management, education and training are the main critical success factors in the JIT implementation, and that management, employee and knowledge are the main obstacles of JIT implementation.
Keywords: just-in-time; JIT; JIT implementation; inventory management; pull manufacturing; lean manufacturing; waste reduction; kanban; MRP.
An investigation on sustainable supply chain management challenges for Indian thermal power plants
by Suchismita Satapathy
Abstract: The coal option for power generation has to play most important role in the Indian power sector for long times to come. Though it is most obvious and viable option, it comes with some salient issues like coal quality, import tie ups, mining, transport and port infrastructure, etc. which need to be analysed and addressed with long-term perspective. A low-quality, high-ash coal also creates problems for power stations, including erosion in parts and materials, difficulty in pulverisation, poor emissivity and flame temperature, low radiative transfer, and excessive amounts of fly ash containing large amounts of unburned carbons. The awareness against the environmental pollution and clean energy is increasing all over the world. As the thermal power sector is blamed for creating environmental pollution, so they are more focused on sustainability issues and subsequently trying to develop a sustainable supply chain strategy to carry out their business.
Keywords: SSCM; ANN; quality function deployment; QFD; interpretive structural modelling; ISM; Indian thermal power sector; coal.
Auction-based algorithm for solving scheduling problem in cross-docking centres
by Eldho Paul, Brijesh Paul
Abstract: A cross-docking centre reduces the amount of storage and transportation in a distribution system compared to an ordinary warehouse. This paper proposes an auction-based mechanism for optimum scheduling of inbound trucks in cross-docking centres, thereby reducing the storage and transportation costs. Auction mechanisms are commonly used in different real life applications for better allocation of limited resources. Here, an effort is made to integrate the auction mechanism with the functioning of cross-docking centres. A mathematical model is developed for the optimal scheduling of inbound trucks. As expected, the determination of exact schedule for problems involving large number of variables was found to be computationally complex, and hence a heuristic methodology is also proposed in this study. In our computational experiments, we found that the proposed heuristic method is capable of producing good schedules in minimal time.
Keywords: auction mechanism; cross-docking centre; heuristics; mathematical modelling; optimisation; resource allocation; combinatorial auction; scheduling of trucks.
Impact of additive manufacturing in different areas of Industry 4.0
by Abid Haleem, Mohd Javaid, Shanay Rab
Abstract: Additive manufacturing (AM) technologies are becoming an essential part of tomorrow's smart factories, where software, technologies, and processes are being integrated to deliver world-class results. AM is to provide extensive inputs to smart manufacturing systems using digital design, and specialised software-based manufacturing technology. AM helps to create product innovation, thereby impacting different areas of Industry 4.0. The purpose of this study is to understand how AM can impact various areas of Industry 4.0. A large number of research papers on additive manufacturing in Industry 4.0 and other related articles in the manufacturing field have been studied to identify its fifteen significant impacts and subsequent research direction. In future, AM will create technological advancement in design, manufacturing and provide a maximum contribution in Industry 4.0 to the self-optimise production system. AM helps to reduce a considerable amount of unused inventory and helps fulfil the customised demand of consumer and market. AM creates any customised prototype for specific users in lesser time. It provides innovative product concepts by assessing market demand and minimise the supply chain cost.
Keywords: additive manufacturing; AM; areas of Industry 4.0; customisation; Industry 4.0; requirements of Industry 4.0.
A study on using lean, agile, resilient and green index to assess the sustainability of Egyptian FMCGs supply chains
by Sara Elzarka
Abstract: Sustainable or green supply chain (GSC) management has gained significant importance over the past few years in Egypt as global awareness on preserving natural resources and the environment have been increasing. Sustainable operations of the supply chain became an essential requirement for Egyptian products to enter the European and the American markets which are the two major exports' markets for Egypt. Therefore, this research would assess the leanness, agility, resilience and greenness of Egyptian fast-moving consumer goods (FMCG) supply chain by the use of the lean, agile, resilient and green (LARG) index proposed by Azevedo et al. (2016). This research will use the case study approach in assessing the practices of three major FMCG companies' supply chains. Conducting this assessment on a set of companies and to their supply chain will allow the researcher to benchmark the performance of the supply chain members; thus, highlighting the gaps and emphasising on the improvement opportunities.
Keywords: supply chain management; SCM; green supply chain; GSC; Egypt; sustainability; fast-moving consumer goods; FMCG; lean; green; LARG index; resilience.
Special Issue on: Operations Management of Various Logistics Flows
A global performance analysis methodology using Taguchi approach: case of cloud computing and supply chain
by Awatif Ragmani, Amina El Omri, Noreddine Abghour, Khalid Moussaid, Mohammed Rida
Abstract: Nowadays, performance optimisation is identified as the major asset to maximise the quality-cost ratio of a given system. Particularly, the performance analysis of a complex system involving several processes and a multitude of stakeholders cannot be done without an efficient methodology. During this paper, we aim at the implementation of a generic methodology for performance analysis taking as a framework the case of cloud computing and supply chain. The proposed methodology is based on the fundamental idea of transforming a complex system into a black box which will be analysed through different inputs corresponding to the influential factors and outputs which translate the key performance indicators. The analysis of the interactions between influential factors and key performance indicators is carried out on the basis of the Taguchi concept. The conclusions of the proposed methodology make it possible to identify diverse perspectives in order to enhance the performance of the entire system.
Keywords: cloud computing; performance methodology; key performance indicator; KPI; balanced scorecard; Taguchi; supply chain.