Template-Type: ReDIF-Article 1.0 Author-Name: Xiao Xu Author-X-Name-First: Xiao Author-X-Name-Last: Xu Author-Name: Hwan-Seong Kim Author-X-Name-First: Hwan-Seong Author-X-Name-Last: Kim Author-Name: Sang-Do Lee Author-X-Name-First: Sang-Do Author-X-Name-Last: Lee Author-Name: Sam-Sang You Author-X-Name-First: Sam-Sang Author-X-Name-Last: You Title: Adaptive synchronisation of supply chain system using sliding mode control 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. Journal: Int. J. of Logistics Systems and Management Pages: 228-240 Issue: 2 Volume: 39 Year: 2021 Keywords: supply chain system; market instabilities; chaos synchronisation; control theory; sliding mode control; adaptation law; Lyapunov stability. File-URL: http://www.inderscience.com/link.php?id=115479 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:228-240 Template-Type: ReDIF-Article 1.0 Author-Name: Hamed Rafiei Author-X-Name-First: Hamed Author-X-Name-Last: Rafiei Author-Name: Fatemeh Safaei Author-X-Name-First: Fatemeh Author-X-Name-Last: Safaei Author-Name: Masoud Rabbani Author-X-Name-First: Masoud Author-X-Name-Last: Rabbani Title: An elastic constraint method for a multi-objective production-distribution planning problem with competition 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. Journal: Int. J. of Logistics Systems and Management Pages: 141-163 Issue: 2 Volume: 39 Year: 2021 Keywords: Cournot competition; elastic constraint method; production-distribution planning; Stackelberg competition. File-URL: http://www.inderscience.com/link.php?id=115481 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:141-163 Template-Type: ReDIF-Article 1.0 Author-Name: A.S. Balakrishnan Author-X-Name-First: A.S. Author-X-Name-Last: Balakrishnan Author-Name: Jayshree Suresh Author-X-Name-First: Jayshree Author-X-Name-Last: Suresh Title: Role of automotive engineering changes in an emerging market 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. Journal: Int. J. of Logistics Systems and Management Pages: 164-184 Issue: 2 Volume: 39 Year: 2021 Keywords: automotive; emerging market; engineering change; new product development; material planning and logistics; MP%L; original equipment manufacturers; OEMs; India. File-URL: http://www.inderscience.com/link.php?id=115482 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:164-184 Template-Type: ReDIF-Article 1.0 Author-Name: Gennady L. Brodetskiy Author-X-Name-First: Gennady L. Author-X-Name-Last: Brodetskiy Author-Name: Denis A. Gusev Author-X-Name-First: Denis A. Author-X-Name-Last: Gusev Author-Name: Ivan G. Shidlovskii Author-X-Name-First: Ivan G. Author-X-Name-Last: Shidlovskii Title: Multi-criteria optimisation under the conditions of uncertainty in logistics and supply chain management 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. Journal: Int. J. of Logistics Systems and Management Pages: 207-227 Issue: 2 Volume: 39 Year: 2021 Keywords: choice at many criteria; uncertainty in logistics; supply chains risk management; selection procedures; synthesis of methods; inventory management. File-URL: http://www.inderscience.com/link.php?id=115483 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:207-227 Template-Type: ReDIF-Article 1.0 Author-Name: Batara Parada Siahaan Author-X-Name-First: Batara Parada Author-X-Name-Last: Siahaan Author-Name: Togar Mangihut Simatupang Author-X-Name-First: Togar Mangihut Author-X-Name-Last: Simatupang Author-Name: Liane Okdinawati Author-X-Name-First: Liane Author-X-Name-Last: Okdinawati Title: Modelling incentive policy on truck sharing economy concept: current state and literature review Abstract: The purpose of this study is 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. Journal: Int. J. of Logistics Systems and Management Pages: 185-206 Issue: 2 Volume: 39 Year: 2021 Keywords: modelling incentive policy; truck sharing economy; literature review; literature classification. File-URL: http://www.inderscience.com/link.php?id=115484 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:185-206 Template-Type: ReDIF-Article 1.0 Author-Name: Philip Kofi Alimo Author-X-Name-First: Philip Kofi Author-X-Name-Last: Alimo Title: Reducing postharvest losses of fruits and vegetables through supply chain performance evaluation: an illustration of the application of SCOR model 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. Journal: Int. J. of Logistics Systems and Management Pages: 384-407 Issue: 3 Volume: 38 Year: 2021 Keywords: postharvest losses; fruits and vegetables; supply chain; SCOR model; performance metrics; benchmarking; performance evaluation. File-URL: http://www.inderscience.com/link.php?id=113438 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:384-407 Template-Type: ReDIF-Article 1.0 Author-Name: Ajay Gupta Author-X-Name-First: Ajay Author-X-Name-Last: Gupta Author-Name: Arvind Bhardwaj Author-X-Name-First: Arvind Author-X-Name-Last: Bhardwaj Author-Name: Neeraj Bhanot Author-X-Name-First: Neeraj Author-X-Name-Last: Bhanot Title: Product mix decisions with complete shipment and multiple physical resources as constraints 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 proven 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. Journal: Int. J. of Logistics Systems and Management Pages: 307-324 Issue: 3 Volume: 38 Year: 2021 Keywords: product mix; complete shipment; multiple physical resources; theory of constraints; TOCh; integer linear programming. File-URL: http://www.inderscience.com/link.php?id=113439 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:307-324 Template-Type: ReDIF-Article 1.0 Author-Name: Vanessa Pilla Galetti Bretas Author-X-Name-First: Vanessa Pilla Galetti Author-X-Name-Last: Bretas Author-Name: Thelma Valeria Rocha Author-X-Name-First: Thelma Valeria Author-X-Name-Last: Rocha Author-Name: Renata Fernandes Galhanone Author-X-Name-First: Renata Fernandes Author-X-Name-Last: Galhanone Author-Name: George Bedinelli Rossi Author-X-Name-First: George Bedinelli Author-X-Name-Last: Rossi Title: Entry and governance modes in international franchising: a case study Abstract: This paper analyses the entry and governance mode choices in the internationalisation process of a Brazilian franchisor. The study investigates the factors that helped this company, a supplier of fibreglass swimming pools, to achieve fast international growth and become one of the most internationalised Brazilian franchisors with presence in 40 foreign countries. Six interviews were conducted with the CEO/founder, two directors and three experts from franchising associations (ABF and IFA). The analysis showed that this franchisor's fast internationalisation process was due to trust, relationships and network building, factors that impacted its entry and governance mode choice in the foreign countries. The partnerships established with local players influenced the choice of the governance mode. This study may contribute to decision-making in international franchising by showing the relevance of trust, local relationships and business networks for the internationalisation of franchise chains, considering the uniqueness of each foreign market. Journal: Int. J. of Logistics Systems and Management Pages: 343-359 Issue: 3 Volume: 38 Year: 2021 Keywords: international franchising; governance modes; market entry modes. File-URL: http://www.inderscience.com/link.php?id=113440 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:343-359 Template-Type: ReDIF-Article 1.0 Author-Name: Ronald B. Larson Author-X-Name-First: Ronald B. Author-X-Name-Last: Larson Author-Name: Bruce G. Ferrin Author-X-Name-First: Bruce G. Author-X-Name-Last: Ferrin Title: Shopper attitudes about privacy and the likelihood of disabling an RFID tag 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. Journal: Int. J. of Logistics Systems and Management Pages: 325-342 Issue: 3 Volume: 38 Year: 2021 Keywords: radio frequency identification; RFID; omnichannel retailing; privacy; technology anxiety; religiosity; disabled RFID tag. File-URL: http://www.inderscience.com/link.php?id=113441 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:325-342 Template-Type: ReDIF-Article 1.0 Author-Name: Mohsen M.D. Hassan Author-X-Name-First: Mohsen M.D. Author-X-Name-Last: Hassan Author-Name: Amar Oukil Author-X-Name-First: Amar Author-X-Name-Last: Oukil Title: Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA Abstract: The purpose of this paper is to assist designers and logistics/manufacturing managers in designing efficient material handling (MH) systems 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 their 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. Journal: Int. J. of Logistics Systems and Management Pages: 241-272 Issue: 2 Volume: 39 Year: 2021 Keywords: commercial handling equipment; modelling; supply chain components; data envelopment analysis; DEA; handling systems. File-URL: http://www.inderscience.com/link.php?id=115493 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:241-272 Template-Type: ReDIF-Article 1.0 Author-Name: P.D.D. Dominic Author-X-Name-First: P.D.D. Author-X-Name-Last: Dominic Author-Name: Sarit Maitra Author-X-Name-First: Sarit Author-X-Name-Last: Maitra Author-Name: P. Parthiban Author-X-Name-First: P. Author-X-Name-Last: Parthiban Title: Outcome of selective dis-integration on supply chain efficiency and organisation performance 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 organisation performance (PER) 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. Journal: Int. J. of Logistics Systems and Management Pages: 79-104 Issue: 1 Volume: 38 Year: 2021 Keywords: information technology; organisation performance; supply chain management; SCM; supply chain integration; SCI; supply chain efficiency; SCE; dis-integration. File-URL: http://www.inderscience.com/link.php?id=112425 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:79-104 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmed Zainul Abideen Author-X-Name-First: Ahmed Zainul Author-X-Name-Last: Abideen Author-Name: Fazeeda Binti Mohamad Author-X-Name-First: Fazeeda Binti Author-X-Name-Last: Mohamad Title: Advancements in industrial supply chain through lean implementation - a review 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 'Industry 4.0'. Customers want expeditious and cheaper finished products. Major companies are now seeking competent methods to reduce wastes in their supply chain. Engagement of lean tools and concepts in the supply chain has proven to have diminished scrap and cycle time over the past few years. Many studies have been carried out to design the supply chain from the lean's perspective. The objective of this study is to conduct a systematic review of selected articles on the 'lean supply chain'. Research articles between the year 2000 and 2017 were collected strictly adhering to the selected keywords and exclusion criteria. Another objective was to plot down the developments in lean supply chain. Journal: Int. J. of Logistics Systems and Management Pages: 45-64 Issue: 1 Volume: 38 Year: 2021 Keywords: lean; lean production; lean supply chain; LSC; green supply chain; GSC; agile supply chain; systematic review. File-URL: http://www.inderscience.com/link.php?id=112426 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:45-64 Template-Type: ReDIF-Article 1.0 Author-Name: Robert O. Walton Author-X-Name-First: Robert O. Author-X-Name-Last: Walton Author-Name: Aman Gupta Author-X-Name-First: Aman Author-X-Name-Last: Gupta Author-Name: Ronald R. Mau Author-X-Name-First: Ronald R. Author-X-Name-Last: Mau Title: Interpretive structural modelling approach to assess financial attributes of the air cargo industry 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. Journal: Int. J. of Logistics Systems and Management Pages: 30-44 Issue: 1 Volume: 38 Year: 2021 Keywords: air cargo; bankruptcy; financial models; interpretive structural modelling; ISM. File-URL: http://www.inderscience.com/link.php?id=112427 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:30-44 Template-Type: ReDIF-Article 1.0 Author-Name: Sutrisno Author-X-Name-First: Author-X-Name-Last: Sutrisno Author-Name: Widowati Author-X-Name-First: Author-X-Name-Last: Widowati Author-Name: R. Heru Tjahjana Author-X-Name-First: R. Heru Author-X-Name-Last: Tjahjana Title: Piecewise objective optimisation model for inventory control integrated with supplier selection considering discount Abstract: This research proposes a mathematical model in a piecewise 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. Journal: Int. J. of Logistics Systems and Management Pages: 65-78 Issue: 1 Volume: 38 Year: 2021 Keywords: purchase discount; supplier selection; inventory control. File-URL: http://www.inderscience.com/link.php?id=112436 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:65-78 Template-Type: ReDIF-Article 1.0 Author-Name: Vishal Kashav Author-X-Name-First: Vishal Author-X-Name-Last: Kashav Author-Name: Chandra Prakash Garg Author-X-Name-First: Chandra Prakash Author-X-Name-Last: Garg Author-Name: Subrata Kumar Behera Author-X-Name-First: Subrata Kumar Author-X-Name-Last: Behera Title: Evolution of maritime supply chains of containerised freight in India: Taaffe, Morrill and Gould model revisited Abstract: India's modern transport system was initiated by Britishers. Since then, transport networks have been developed century by century to come to the present stage. This paper attempts to discuss in brief to see to what extent, TMG model is been going tandem with the development in maritime supply chains of India's containerised freight. Backed with thorough data and facts, development of supply and demand of containerised freight in India is argued. Furthermore, role of Sagarmala initiative in developing port and maritime sector is studied. Most importantly, implications of TMG model in Indian context are examined and concluded that although the development of maritime supply chains (MSCs) of containerised freight has picked up but it is not going as per stages mentioned in the TMG model. Hence, the mismatch is argued and the shortfalls are discussed in brief. In the end, policy implications are drawn as an attempt to suggest government and policy makers about how to proceed with development of MSCs of containerised freight in India. Journal: Int. J. of Logistics Systems and Management Pages: 105-134 Issue: 1 Volume: 38 Year: 2021 Keywords: Taaffe, Morrill and Gould; TMG; model; container shipping; transport system; maritime supply chains; MSCs; India. File-URL: http://www.inderscience.com/link.php?id=112447 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:105-134 Template-Type: ReDIF-Article 1.0 Author-Name: Suratin Tunyaplin Author-X-Name-First: Suratin Author-X-Name-Last: Tunyaplin Author-Name: Wirachchaya Chanpuypetch Author-X-Name-First: Wirachchaya Author-X-Name-Last: Chanpuypetch Title: A SCOR-based performance evaluation framework for last-mile delivery of DIY home furniture products Abstract: For a retail supply chain of DIY home furniture products, last-mile providers must be capable of providing multiple-piece shipment and complex assembly, as well as installation services. Most suffer from their operational performance management. Therefore, this article aims to propose a performance evaluation framework for last-mile delivery of home furniture products. It was developed through the case of a multinational home delivery and assembly service company based on the SCOR model. In the real-world situation of this context, the 13 measurable metrics can be determined as key performance indicators (KPIs). These KPIs were also prioritised using the analytic hierarchy process. Finally, the framework was applied to measure the performance of the two branches of the MNC in Thailand and Indonesia. The company can monitor the quality of service in different environments to gain customer satisfaction and maintain a good reputation with business partners. Journal: Int. J. of Logistics Systems and Management Pages: 277-306 Issue: 3 Volume: 38 Year: 2021 Keywords: performance measurement; last-mile delivery; supply chain operations reference; SCOR; home furniture delivery; assembly services; analytic hierarchy process; AHP. File-URL: http://www.inderscience.com/link.php?id=113471 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:277-306 Template-Type: ReDIF-Article 1.0 Author-Name: Aric R. Johnson Author-X-Name-First: Aric R. Author-X-Name-Last: Johnson Author-Name: Marina E. Johnson Author-X-Name-First: Marina E. Author-X-Name-Last: Johnson Author-Name: Nagen Nagarur Author-X-Name-First: Nagen Author-X-Name-Last: Nagarur Title: Supply chain design under disruptions considering risk mitigation strategies for robustness and resiliency Abstract: Disruptions have become more commonplace in the globalised business environment; thus, many firms have been attempting to find risk mitigation strategies (RMS) to create robust and resilient supply chains. To this extent, this study evaluates the performance of various supply chains utilising different RMS to cope with disruptions using optimisation and simulation. In the optimisation phase, mixed integer programming is used to create a three-echelon supply chain design. Then, the initial supply chain is further configured to incorporate two RMS for robustness (i.e., redundancy and multi-sourcing). In the simulation phase, the aforementioned supply chains, with and without RMS for robustness, are exposed to random disruptions of various severity levels, and the effectiveness of four RMS for resiliency (e.g., visibility, flexibility) are tested using key performance indicators such as order fulfilment rates and profits. The results indicate that the RMS for robustness alone is better suited under mild to moderate disruptions while a combination of RMS for robustness and resiliency is essential to handle severe disruptions. Journal: Int. J. of Logistics Systems and Management Pages: 1-29 Issue: 1 Volume: 38 Year: 2021 Keywords: supply chain risk; risk mitigation strategies; RMS; simulation; logistics; robustness; resiliency. File-URL: http://www.inderscience.com/link.php?id=112448 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:1:p:1-29 Template-Type: ReDIF-Article 1.0 Author-Name: Alberto De Barros Aguirre Author-X-Name-First: Alberto De Barros Author-X-Name-Last: Aguirre Author-Name: Paulo Tromboni De Souza Nascimento Author-X-Name-First: Paulo Tromboni De Souza Author-X-Name-Last: Nascimento Title: The competitiveness of ethanol through logistics in the Brazilian agricultural frontier Abstract: The challenge of making business ventures viable and profitable in new frontiers is huge, especially in agriculture. The first difficulties concern the longer distance, resulting in higher transportation costs and need for larger stocks. This study focuses on efforts in the ethanol production and the search for this competitiveness, achieved through logistics. This paper contributes as it reveals the most important among the various logistic activities in the state of Mato Grosso do Sul, Brazil. It also shows that factors such as high technology and use of modern equipment allow for good competitiveness with traditional producing regions. Journal: Int. J. of Logistics Systems and Management Pages: 360-383 Issue: 3 Volume: 38 Year: 2021 Keywords: logistics; internal logistics; road transportation; railway transportation; sugarcane; ethanol. File-URL: http://www.inderscience.com/link.php?id=113472 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:3:p:360-383 Template-Type: ReDIF-Article 1.0 Author-Name: Ashoke Kumar Bera Author-X-Name-First: Ashoke Kumar Author-X-Name-Last: Bera Author-Name: Dipak Kumar Jana Author-X-Name-First: Dipak Kumar Author-X-Name-Last: Jana Author-Name: Debamalya Banerjee Author-X-Name-First: Debamalya Author-X-Name-Last: Banerjee Author-Name: Titas Nandy Author-X-Name-First: Titas Author-X-Name-Last: Nandy Title: Multi-item two warehouse inventory model for deteriorating item under partial credit period via contractive mapping genetic algorithm and PSO 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. A retailer has its own warehouse (<i>OW</i>) <i>W</i><SUB align="right"><SMALL>1</SMALL></SUB> of finite capacity at the central location in the city and a rented warehouse (<i>RW</i>) <i>W</i><SUB align="right"><SMALL>2</SMALL></SUB> of infinite capacity situated just outside the city. Units are continuously transferred from warehouse <i>W</i><SUB align="right"><SMALL>2</SMALL></SUB> to warehouse <i>W</i><SUB align="right"><SMALL>1</SMALL></SUB> and sold from warehouse <i>W</i><SUB align="right"><SMALL>1</SMALL></SUB>. 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. Journal: Int. J. of Logistics Systems and Management Pages: 425-458 Issue: 4 Volume: 38 Year: 2021 Keywords: multi-product; two warehouse; stock dependent demand; deterioration; permissible delay in payment; contractive mapping genetic algorithm; CMGA; particle swarm optimisation; PSO. File-URL: http://www.inderscience.com/link.php?id=114758 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:425-458 Template-Type: ReDIF-Article 1.0 Author-Name: Samaneh Moradi Author-X-Name-First: Samaneh Author-X-Name-Last: Moradi Author-Name: Mohamad Sadegh Sangari Author-X-Name-First: Mohamad Sadegh Author-X-Name-Last: Sangari Title: A robust optimisation approach for designing a multi-echelon, multi-product, multi-period supply chain network with outsourcing 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. Journal: Int. J. of Logistics Systems and Management Pages: 488-505 Issue: 4 Volume: 38 Year: 2021 Keywords: supply chain network design; outsourcing; robust optimisation; mixed-integer linear programming; MILP. File-URL: http://www.inderscience.com/link.php?id=114759 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:488-505 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Title: An inter-organisational decision support system for global supply chain management 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. Journal: Int. J. of Logistics Systems and Management Pages: 475-487 Issue: 4 Volume: 38 Year: 2021 Keywords: inter-organisational decision support systems; IODSSs; global supply chain management; business intelligence. File-URL: http://www.inderscience.com/link.php?id=114760 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:475-487 Template-Type: ReDIF-Article 1.0 Author-Name: Alet S. Tolmay Author-X-Name-First: Alet S. Author-X-Name-Last: Tolmay Author-Name: Sumei Van Antwerpen Author-X-Name-First: Sumei Van Author-X-Name-Last: Antwerpen Title: Commitment as a buyer-supplier antecedent for supply chain sustainability Abstract: The South African automotive industry is an important sector that contributes substantially to the country's economy. The sustainability of local suppliers within South African automotive supply chains is under threat because of global pressures, especially competition from low-cost countries. Increased pressure leads to conflict between international buyers and local suppliers. The result is strained relationships, causing lower levels of commitment, often increasing risk and threatening the sustainability of local suppliers. The aim of this study was to determine whether commitment as an antecedent within supply chains exists and whether such a precursor has an effect on sustainability within South African automotive supply chains. The study found, through the application of a linear regression model, that commitment could potentially contribute to vital supply chain sustainability in South Africa. The results point automotive component suppliers towards investing in a relational governance strategy to enhance buyer commitment and thus contribute to business sustainability. Journal: Int. J. of Logistics Systems and Management Pages: 409-424 Issue: 4 Volume: 38 Year: 2021 Keywords: commitment; sustainability; South African automotive supply chains; supplier relationships. File-URL: http://www.inderscience.com/link.php?id=114761 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:409-424 Template-Type: ReDIF-Article 1.0 Author-Name: Supansa Chaising Author-X-Name-First: Supansa Author-X-Name-Last: Chaising Author-Name: Hans-Dietrich Haasis Author-X-Name-First: Hans-Dietrich Author-X-Name-Last: Haasis Title: Cloud computing for logistics and procurement services for SMEs and raw material suppliers Abstract: Cloud computing has become extensive favour of business sectors, especially small- and medium-sized enterprises (SMEs). SMEs sector can gain many benefits from using cloud computing because it can fulfil user requirements with on-demand services and low costs. Certainly, SMEs have a problem of raw material procurement from suppliers to meet the requirements, such as low prices, on-time delivery, and raw materials quality due to SMEs encounter limited budgets and lack of contracted suppliers. Also, suppliers need buyers satisfying the sales conditions because the suppliers require higher profits from selling the products. Therefore, this study proposes cloud computing for logistics and procurement services to support dealing business operation 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. Journal: Int. J. of Logistics Systems and Management Pages: 459-474 Issue: 4 Volume: 38 Year: 2021 Keywords: cloud computing; small- and medium-sized enterprises; SMEs; raw material suppliers; logistics services; procurement services. File-URL: http://www.inderscience.com/link.php?id=114767 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:459-474 Template-Type: ReDIF-Article 1.0 Author-Name: Grace Birago Asenso Author-X-Name-First: Grace Birago Author-X-Name-Last: Asenso Author-Name: David Asamoah Author-X-Name-First: David Author-X-Name-Last: Asamoah Author-Name: Benjamin Agyei-Owusu Author-X-Name-First: Benjamin Author-X-Name-Last: Agyei-Owusu Title: Exploring the factors that drive use of self-service technologies in air-travel in an African country 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. Journal: Int. J. of Logistics Systems and Management Pages: 273-291 Issue: 3 Volume: 39 Year: 2021 Keywords: self-service technologies; SSTs; UTAUT; air-travel; Africa. File-URL: http://www.inderscience.com/link.php?id=115791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:273-291 Template-Type: ReDIF-Article 1.0 Author-Name: Neringa Vilkaite-Vaitone Author-X-Name-First: Neringa Author-X-Name-Last: Vilkaite-Vaitone Title: An exploratory study on logistician professional competences: the case of Lithuanian logistics companies 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. Journal: Int. J. of Logistics Systems and Management Pages: 292-308 Issue: 3 Volume: 39 Year: 2021 Keywords: competence; professional competence; competence requirements; logistician; logistics company; planning; quality assurance; customer relationship management; logistics system; logistics management; Lithuania. File-URL: http://www.inderscience.com/link.php?id=115792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:292-308 Template-Type: ReDIF-Article 1.0 Author-Name: Jay R. Brown Author-X-Name-First: Jay R. Author-X-Name-Last: Brown Author-Name: Maxim A. Bushuev Author-X-Name-First: Maxim A. Author-X-Name-Last: Bushuev Author-Name: Alfred L. Guiffrida Author-X-Name-First: Alfred L. Author-X-Name-Last: Guiffrida Title: Distance metrics matter: analysing optimisation algorithms for the last mile problem 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. Journal: Int. J. of Logistics Systems and Management Pages: 151-174 Issue: 2 Volume: 38 Year: 2021 Keywords: last mile problem; LMP; supply chain optimisation; algorithms; heuristics; Manhattan distance. File-URL: http://www.inderscience.com/link.php?id=113233 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:151-174 Template-Type: ReDIF-Article 1.0 Author-Name: Zahra Hasanpour Jesri Author-X-Name-First: Zahra Hasanpour Author-X-Name-Last: Jesri Author-Name: Kourosh Eshghi Author-X-Name-First: Kourosh Author-X-Name-Last: Eshghi Title: The multi-vehicle travelling purchaser problem with priority in purchasing and uncertainty in demand 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. Journal: Int. J. of Logistics Systems and Management Pages: 359-389 Issue: 3 Volume: 39 Year: 2021 Keywords: travelling purchaser problem; TPP; priority in purchasing; clustered supplier graph; multi-vehicle; demand uncertainty; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=115793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:359-389 Template-Type: ReDIF-Article 1.0 Author-Name: Tomasz Wiśniewski Author-X-Name-First: Tomasz Author-X-Name-Last: Wiśniewski Author-Name: Rafał Szymański Author-X-Name-First: Rafał Author-X-Name-Last: Szymański Title: Simulation-based optimisation of replenishment policy in supply chains 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 - optimisation of inventory of an online shop with electronics. The results obtained prove the high usefulness of the proposed methodology, as compared to the initial method of replenishing, it was possible to reduce the time of storage of goods by 66%, which translates into lowering the costs in a simple way. Journal: Int. J. of Logistics Systems and Management Pages: 135-150 Issue: 2 Volume: 38 Year: 2021 Keywords: supply chain; replenishment strategy; optimisation; simulation modelling. File-URL: http://www.inderscience.com/link.php?id=113234 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:135-150 Template-Type: ReDIF-Article 1.0 Author-Name: Kaustov Chakraborty Author-X-Name-First: Kaustov Author-X-Name-Last: Chakraborty Title: Key decision-making areas of automotive engine remanufacturing: a case study 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. Journal: Int. J. of Logistics Systems and Management Pages: 333-358 Issue: 3 Volume: 39 Year: 2021 Keywords: product recovery; remanufacturing; product lifecycle; case study. File-URL: http://www.inderscience.com/link.php?id=115794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:333-358 Template-Type: ReDIF-Article 1.0 Author-Name: Mahdi Shafiei Author-X-Name-First: Mahdi Author-X-Name-Last: Shafiei Author-Name: Mohammad Modarres Author-X-Name-First: Mohammad Author-X-Name-Last: Modarres Title: Mixed contracts for supply chain management based on newsvendor problem by including real option and classic contract with continues demand 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. Journal: Int. J. of Logistics Systems and Management Pages: 175-193 Issue: 2 Volume: 38 Year: 2021 Keywords: supply chain management; real option; newsvendor problem; mixed contract. File-URL: http://www.inderscience.com/link.php?id=113235 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:175-193 Template-Type: ReDIF-Article 1.0 Author-Name: Krishnakant Dhakar Author-X-Name-First: Krishnakant Author-X-Name-Last: Dhakar Author-Name: Abhay Singh Author-X-Name-First: Abhay Author-X-Name-Last: Singh Author-Name: Sheetal Soda Author-X-Name-First: Sheetal Author-X-Name-Last: Soda Author-Name: Pushyamitra Mishra Author-X-Name-First: Pushyamitra Author-X-Name-Last: Mishra Title: Green supply chain barriers analysis using interpretive structural modelling 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. Journal: Int. J. of Logistics Systems and Management Pages: 390-408 Issue: 3 Volume: 39 Year: 2021 Keywords: green supply chain management; GSCM; barriers; interpretive structural modelling; ISM. File-URL: http://www.inderscience.com/link.php?id=115795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:390-408 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmed Loukili Author-X-Name-First: Ahmed Author-X-Name-Last: Loukili Author-Name: Fatima Ezzahra Cherqaoui Author-X-Name-First: Fatima Ezzahra Author-X-Name-Last: Cherqaoui Author-Name: Saâd Lissane Elhaq Author-X-Name-First: Saâd Lissane Author-X-Name-Last: Elhaq Title: Performance analysis and organisation of a supply chain: case study of butane import at Mohammedia port 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. Journal: Int. J. of Logistics Systems and Management Pages: 217-238 Issue: 2 Volume: 38 Year: 2021 Keywords: maritime transport; butane logistics chain; transit cost of butane; port infrastructure; management and strategic position; safety stock; performance improvements. File-URL: http://www.inderscience.com/link.php?id=113236 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:217-238 Template-Type: ReDIF-Article 1.0 Author-Name: Jayantha Rathnayake Author-X-Name-First: Jayantha Author-X-Name-Last: Rathnayake Author-Name: Shuwen Yan Author-X-Name-First: Shuwen Author-X-Name-Last: Yan Author-Name: J.A. Karunaratne Author-X-Name-First: J.A. Author-X-Name-Last: Karunaratne Title: Inland ports: new dimensions in the transportation structure of Sri Lanka 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 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. Journal: Int. J. of Logistics Systems and Management Pages: 309-332 Issue: 3 Volume: 39 Year: 2021 Keywords: inland port; seaport; logistics; capacity issues; globalisation; railways. File-URL: http://www.inderscience.com/link.php?id=115796 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:3:p:309-332 Template-Type: ReDIF-Article 1.0 Author-Name: Lana M. Shahbari Author-X-Name-First: Lana M. Author-X-Name-Last: Shahbari Author-Name: Mohammed Othman Author-X-Name-First: Mohammed Author-X-Name-Last: Othman Title: Assessing green logistics practices in the Palestinian service logistics companies Abstract: The logistics industry is considered as a large consumption of energy and fuel. This paper aims to assess green logistics innovations (GLI) in service logistics companies in the Palestinian context. Data were collected from 15 logistics firms in the West Bank, Palestine. Mixed methodology of both qualitative and quantitative research approaches was used. Qualitative data were collected via 15 interviews with administrative and operational managers. A questionnaire was designed to gather the pertinent quantitative data from 167 employees in small and medium-sized Palestinian logistics companies. The analysis of collected data from the questionnaire indicates that 46.4% of the participants have previous knowledge about the concept of green logistics (GL) and the implementation level is limited to periodic maintenance of the vehicles. Moreover, organisational support, governmental support, attitude and perceived usefulness are the most significant factors influencing the willingness of Palestinian logistics companies to adopt green logistics innovations. Journal: Int. J. of Logistics Systems and Management Pages: 506-526 Issue: 4 Volume: 38 Year: 2021 Keywords: green logistics; transportation; distribution; innovation; organisational support; environment; service companies; West Bank; Palestine. File-URL: http://www.inderscience.com/link.php?id=114773 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:4:p:506-526 Template-Type: ReDIF-Article 1.0 Author-Name: Renger Kanani Author-X-Name-First: Renger Author-X-Name-Last: Kanani Author-Name: Arnt Buvik Author-X-Name-First: Arnt Author-X-Name-Last: Buvik Title: Effects of produce perishability, supplier geographical distance, and supplier quality performance on buyer control in agri-food supply chains 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 geographical distance and quality performance. This study was motivated by the vulnerability of the quality of perishable agricultural produce to various logistical and transportation activities, including the 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. Journal: Int. J. of Logistics Systems and Management Pages: 194-216 Issue: 2 Volume: 38 Year: 2021 Keywords: supply chain; vertical coordination; buyer control; perishability; supplier geographical distance; supplier quality performance. File-URL: http://www.inderscience.com/link.php?id=113242 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:194-216 Template-Type: ReDIF-Article 1.0 Author-Name: C. Jeenanunta Author-X-Name-First: C. Author-X-Name-Last: Jeenanunta Author-Name: V. Kongtarat Author-X-Name-First: V. Author-X-Name-Last: Kongtarat Author-Name: J. Buddhakulsomsiri Author-X-Name-First: J. Author-X-Name-Last: Buddhakulsomsiri Title: A simulation-optimisation approach to determine optimal order-up-to level for inventory system with long lead time Abstract: This paper proposes a simulation-optimisation 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-optimisation approach is developed with the objective to minimise 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 method. Results from a computational test show the method effectiveness. Journal: Int. J. of Logistics Systems and Management Pages: 253-276 Issue: 2 Volume: 38 Year: 2021 Keywords: simulation-optimisation; order-up-to level; long lead time; periodic review; backlog; inventory system. File-URL: http://www.inderscience.com/link.php?id=113250 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:253-276 Template-Type: ReDIF-Article 1.0 Author-Name: Rafael Guillermo García-Cáceres Author-X-Name-First: Rafael Guillermo Author-X-Name-Last: García-Cáceres Author-Name: María Paula Ramírez-Tovar Author-X-Name-First: María Paula Author-X-Name-Last: Ramírez-Tovar Author-Name: Juan Pablo Caballero-Villalobos Author-X-Name-First: Juan Pablo Author-X-Name-Last: Caballero-Villalobos Author-Name: Gonzalo E. Mejía-Delgadillo Author-X-Name-First: Gonzalo E. Author-X-Name-Last: Mejía-Delgadillo Title: Tactical supply chain planning supported on a grasp/MIP heuristic 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. Journal: Int. J. of Logistics Systems and Management Pages: 437-469 Issue: 4 Volume: 39 Year: 2021 Keywords: tactical supply chain planning; distribution centre planning; meta-heuristics; hybrid optimisation methods. File-URL: http://www.inderscience.com/link.php?id=116846 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:4:p:437-469 Template-Type: ReDIF-Article 1.0 Author-Name: Siddharth Shankar Rai Author-X-Name-First: Siddharth Shankar Author-X-Name-Last: Rai Author-Name: Debabrata Das Author-X-Name-First: Debabrata Author-X-Name-Last: Das Author-Name: Kunal Ganguly Author-X-Name-First: Kunal Author-X-Name-Last: Ganguly Author-Name: Sunil Giri Author-X-Name-First: Sunil Author-X-Name-Last: Giri Author-Name: Sanjay Kumar Mishra Author-X-Name-First: Sanjay Kumar Author-X-Name-Last: Mishra Title: Stage-wise responsiveness in supply chain: reference from the Indian garment industry 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. Journal: Int. J. of Logistics Systems and Management Pages: 409-436 Issue: 4 Volume: 39 Year: 2021 Keywords: supply chain responsiveness; supplier responsiveness; downstream responsiveness; logistics responsiveness; garment supply chain; India. File-URL: http://www.inderscience.com/link.php?id=116847 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:4:p:409-436 Template-Type: ReDIF-Article 1.0 Author-Name: Nualwon Cha-ume Author-X-Name-First: Nualwon Author-X-Name-Last: Cha-ume Author-Name: Navee Chiadamrong Author-X-Name-First: Navee Author-X-Name-Last: Chiadamrong Title: Maximising net present EVA for the design of a supply chain network using a hybrid analytical-simulation algorithm 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. Journal: Int. J. of Logistics Systems and Management Pages: 491-518 Issue: 4 Volume: 39 Year: 2021 Keywords: optimisation; hybrid analytical-simulation algorithm; supply chain network design; net present EVA. File-URL: http://www.inderscience.com/link.php?id=116848 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:4:p:491-518 Template-Type: ReDIF-Article 1.0 Author-Name: Eftihia G. Nathanail Author-X-Name-First: Eftihia G. Author-X-Name-Last: Nathanail Author-Name: Ioannis D. Karakikes Author-X-Name-First: Ioannis D. Author-X-Name-Last: Karakikes Title: How accurately do experts perceive the effectiveness of urban freight transportation solutions in medium-sized cities? Abstract: This study demonstrates and implements a holistic evaluation framework to investigate the convergence of experts' opinion towards implementing urban freight transportation solutions (policies and techniques) with recorded solution's impacts, at medium-sized cities. The framework is formulated based on a multi-criteria evaluation approach by considering sustainability disciplines (economy, environment, mobility, and society) and enablers (solution maturity, social acceptance, and user uptake). Enablers represent the readiness of the city to adopt a solution and promote its successful operation towards sustainability. Results show that the two data sources produce different results about the performance level of the same solutions, but in some cases comparable level of improvement. When considering also the enablers in the assessment, the results of the two data sources tend to diverge less. The findings of this paper contribute in a better understanding of the performance results of urban freight transportation solutions, based on experts' perceptions on a multidisciplinary set of evaluation parameters. Journal: Int. J. of Logistics Systems and Management Pages: 519-550 Issue: 4 Volume: 39 Year: 2021 Keywords: city logistics; last mile delivery; decision making; sustainability disciplines; multi-criteria evaluation; stakeholder survey; performance; impact assessment; metadata analysis; medium-sized cities. File-URL: http://www.inderscience.com/link.php?id=116849 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:4:p:519-550 Template-Type: ReDIF-Article 1.0 Author-Name: Monica Rasini Author-X-Name-First: Monica Author-X-Name-Last: Rasini Author-Name: Elena Tappia Author-X-Name-First: Elena Author-X-Name-Last: Tappia Author-Name: Marco Melacini Author-X-Name-First: Marco Author-X-Name-Last: Melacini Title: E-fulfilment in grocery retailing: design insights for a store-based distribution system 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. Journal: Int. J. of Logistics Systems and Management Pages: 470-490 Issue: 4 Volume: 39 Year: 2021 Keywords: e-fulfilment; electronic fulfilment; grocery retailing; distribution system; continuous approximation approach. File-URL: http://www.inderscience.com/link.php?id=116850 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:4:p:470-490 Template-Type: ReDIF-Article 1.0 Author-Name: Siti Marsila Mhd Ruslan Author-X-Name-First: Siti Marsila Mhd Author-X-Name-Last: Ruslan Title: Developing a conceptual model for a market integration and integrated shipping industry: a case study between Peninsular Malaysia and Sabah Abstract: Price disparity between Peninsular Malaysia and Sabah has been a long debated issue. Over the years, industry players, political parties, and non-governmental organisations have argued on the main reasons for price differences for Sabah's manufacturing and export industry's stunted growth. This paper intends to study the case of market integration and shipping industry by taking the case between Peninsular Malaysia and Sabah; conducted by qualitative measures. Based on the issue arises, a conceptual model is developed which can be a basis for further studies of logistics industry in Malaysia. There is a need for further research on this topic, especially the role of government-market player context as well as from supply chain perspectives. Journal: Int. J. of Logistics Systems and Management Pages: 239-252 Issue: 2 Volume: 38 Year: 2021 Keywords: market integration; shipping industry; Peninsular Malaysia; Sabah; conceptual model; supply chain. File-URL: http://www.inderscience.com/link.php?id=113270 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:38:y:2021:i:2:p:239-252 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Hajibabaie Author-X-Name-First: Mohammad Author-X-Name-Last: Hajibabaie Author-Name: Mohammad Mehdi Lotfi Author-X-Name-First: Mohammad Mehdi Author-X-Name-Last: Lotfi Title: Fuzzy bi-objective inventory-routing problem for blood products in a hospital network during disasters: two multi-objective meta-heuristic approaches 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 the 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 ε-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 ε-constraint confirms the efficiency of solution algorithms. Moreover, NSGA-II outperforms MOSA regarding the solution quality; but, MOSA needs fewer computational efforts. Journal: Int. J. of Logistics Systems and Management Pages: 22-51 Issue: 1 Volume: 39 Year: 2021 Keywords: disaster; blood; inventory-routing problem; ε-constraint; NSGA-II; multi-objective simulated annealing; MOSA. File-URL: http://www.inderscience.com/link.php?id=115067 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:22-51 Template-Type: ReDIF-Article 1.0 Author-Name: G. Jayanthi Author-X-Name-First: G. Author-X-Name-Last: Jayanthi Author-Name: P. Jothilakshmi Author-X-Name-First: P. Author-X-Name-Last: Jothilakshmi Title: Traffic time series forecasting on highways - a contemporary survey of models, methods and techniques 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. Journal: Int. J. of Logistics Systems and Management Pages: 77-110 Issue: 1 Volume: 39 Year: 2021 Keywords: short-term traffic prediction; traffic operations; non-parametric; parametric; machine learning technique; data mining. File-URL: http://www.inderscience.com/link.php?id=115068 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:77-110 Template-Type: ReDIF-Article 1.0 Author-Name: Saâdia Khoukhi Author-X-Name-First: Saâdia Author-X-Name-Last: Khoukhi Author-Name: Chakib Bojji Author-X-Name-First: Chakib Author-X-Name-Last: Bojji Author-Name: Yahya Bensouda Author-X-Name-First: Yahya Author-X-Name-Last: Bensouda Title: 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 Abstract: This paper presents a methodology to identify the near optimal replenishment policies of a downstream pharmaceutical supply chain operating under two different structures (decentralised vs. centralised). We consider a stochastic demand as well as specific constraints related to pharmaceutical supply chain such as limited storage capacity, required service level and order frequency. To compare the performance of both structures an iterative procedure based on Monte Carlo simulation has been developed. The effectiveness and efficiency of the proposed framework are illustrated by using a real case of a university hospital. Detailed analyses of the numerical experiments show that centralised structure results not only in cost savings but also ameliorate the quality of care service. Journal: Int. J. of Logistics Systems and Management Pages: 1-21 Issue: 1 Volume: 39 Year: 2021 Keywords: pharmaceutical supply chain; PSC; replenishment policy; inventory control; Monte Carlo; drug shortages. File-URL: http://www.inderscience.com/link.php?id=115072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:1-21 Template-Type: ReDIF-Article 1.0 Author-Name: Iñigo L. Ansorena Author-X-Name-First: Iñigo L. Author-X-Name-Last: Ansorena Author-Name: Vicente Negro Valdecantos Author-X-Name-First: Vicente Negro Author-X-Name-Last: Valdecantos Title: The port of Valencia maritime network: an analysis of centralities and tree-optimisation 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. Journal: Int. J. of Logistics Systems and Management Pages: 127-139 Issue: 1 Volume: 39 Year: 2021 Keywords: port network; graph theory; maritime services; weighted network; Valencia; regular services. File-URL: http://www.inderscience.com/link.php?id=115077 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:127-139 Template-Type: ReDIF-Article 1.0 Author-Name: Apichat Sopadang Author-X-Name-First: Apichat Author-X-Name-Last: Sopadang Author-Name: Sooksiri Wichaisri Author-X-Name-First: Sooksiri Author-X-Name-Last: Wichaisri Title: The role of lean sustainable logistics in business operations Abstract: This study aims to investigate and analyse the relationship of lean sustainable logistics (LSL), which proposed to improve and implement organisation for sustainability business. The statistical results are analysed by bibliometric analysis and correlation analysis in order to examine the relationship between three keywords: sustainable development, lean concept and logistics management. Their relationships are measured via co-word analysis and Pearson's correlation coefficient to analyse role of LSL and develop business operations for sustainability, respectively. Then, a cause-and-effect relationship is created via causal linkage for analysing positive and negative effects of these concepts. There are three dimensions - economic, environmental and social - that play an important role to develop business operations for sustainability. Business should be concerned transfer knowledge to society that lack of consideration. This issue is a critical point to cultivate values with economic growth and environmental impacts for business sustainability in long-term development. Journal: Int. J. of Logistics Systems and Management Pages: 111-126 Issue: 1 Volume: 39 Year: 2021 Keywords: relationship analysis; co-word analysis; Pearson's correlation; lean sustainable logistics; LSL; causal linkage. File-URL: http://www.inderscience.com/link.php?id=115078 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:111-126 Template-Type: ReDIF-Article 1.0 Author-Name: Andrés Muñoz-Villamizar Author-X-Name-First: Andrés Author-X-Name-Last: Muñoz-Villamizar Author-Name: Elyn L. Solano-Charris Author-X-Name-First: Elyn L. Author-X-Name-Last: Solano-Charris Author-Name: Rodrigo Romero-Silva Author-X-Name-First: Rodrigo Author-X-Name-Last: Romero-Silva Title: Mapping operations research in project management: a bibliometric analysis Abstract: Successful project management can help organisations in 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 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 2001-2018. 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. Journal: Int. J. of Logistics Systems and Management Pages: 52-76 Issue: 1 Volume: 39 Year: 2021 Keywords: operations research; project management; bibliometric analysis; ISI Web of Science; VOSViewer; resource-constrained. File-URL: http://www.inderscience.com/link.php?id=115079 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:39:y:2021:i:1:p:52-76 Template-Type: ReDIF-Article 1.0 Author-Name: Orivalde S. Silva Júnior Author-X-Name-First: Orivalde S. Silva Author-X-Name-Last: Júnior Author-Name: José E. Leal Author-X-Name-First: José E. Author-X-Name-Last: Leal Title: A multiple ant colony system with random variable neighbourhood descent for the vehicle routing problem with time windows 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. Journal: Int. J. of Logistics Systems and Management Pages: 52-69 Issue: 1 Volume: 40 Year: 2021 Keywords: VRPTW; vehicle routing problem with time windows; metaheuristics; ant colony optimisation; ACO; random variable neighbourhood descent; RVND; delivery service. File-URL: http://www.inderscience.com/link.php?id=117687 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:52-69 Template-Type: ReDIF-Article 1.0 Author-Name: Ilyas Masudin Author-X-Name-First: Ilyas Author-X-Name-Last: Masudin Author-Name: Ferry Jie Author-X-Name-First: Ferry Author-X-Name-Last: Jie Author-Name: Hadrian Djajadikerta Author-X-Name-First: Hadrian Author-X-Name-Last: Djajadikerta Author-Name: Widayat Widayat Author-X-Name-First: Widayat Author-X-Name-Last: Widayat Title: The effect of halal retail and manufacturing technology readiness on halal meat logistics performance 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. Journal: Int. J. of Logistics Systems and Management Pages: 1-27 Issue: 1 Volume: 40 Year: 2021 Keywords: technology readiness; halal logistics; logistics performance. File-URL: http://www.inderscience.com/link.php?id=117688 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Shubham Tripathi Author-X-Name-First: Shubham Author-X-Name-Last: Tripathi Author-Name: Manish Gupta Author-X-Name-First: Manish Author-X-Name-Last: Gupta Title: Identification of challenges and their solution for smart supply chains in Industry 4.0 scenario: a neutrosophic DEMATEL approach 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 organisations 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 13 challenges which include lack of standardisation, 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. Journal: Int. J. of Logistics Systems and Management Pages: 70-94 Issue: 1 Volume: 40 Year: 2021 Keywords: Industry 4.0; smart factory; supply chain management; smart supply chain; SSC; digital supply chain; multi-criteria decision making; DEMATEL; neutrosophic set. File-URL: http://www.inderscience.com/link.php?id=117691 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:70-94 Template-Type: ReDIF-Article 1.0 Author-Name: Kaibalya Ketan Nayak Author-X-Name-First: Kaibalya Ketan Author-X-Name-Last: Nayak Author-Name: Deepak Singhal Author-X-Name-First: Deepak Author-X-Name-Last: Singhal Author-Name: Sushanta Tripathy Author-X-Name-First: Sushanta Author-X-Name-Last: Tripathy Title: Determination of challenges and driving forces of green supply chain management in Indian manufacturing industries: a critical review 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. Primary objective of this research is to carry out a literature review on the field of GSCM in Indian manufacturing industries. Further, this research focuses on the illustration of the common challenges and driving forces of GSCM along with the status of GSCM in Indian manufacturing industries. A systematic analysis has been performed then open-ended questionnaire survey has been carried out to find the common challenges and driving forces of GSCM. The questionnaire was sent to 45 respondents, and in return, 24 responses were received which shows a response of 53.33%. This research investigates the challenges and driving forces of GSCM in various Indian manufacturing industries and discovered 22 common challenges and 15 common driving forces of GSCM. Classification of the critical challenges and critical driving forces may turn out to be an extremely valuable wellspring of data to the decision makers and researchers in their green practice usage programs. Journal: Int. J. of Logistics Systems and Management Pages: 28-51 Issue: 1 Volume: 40 Year: 2021 Keywords: green supply chain; driving forces; challenges; manufacturing; India. File-URL: http://www.inderscience.com/link.php?id=117692 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:28-51 Template-Type: ReDIF-Article 1.0 Author-Name: Siti Norida Wahab Author-X-Name-First: Siti Norida Author-X-Name-Last: Wahab Author-Name: Muhammad Iskandar Hamzah Author-X-Name-First: Muhammad Iskandar Author-X-Name-Last: Hamzah Author-Name: Nazura Mohamed Sayuti Author-X-Name-First: Nazura Mohamed Author-X-Name-Last: Sayuti Author-Name: Wei Chern Lee Author-X-Name-First: Wei Chern Author-X-Name-Last: Lee Author-Name: Say Yik Tan Author-X-Name-First: Say Yik Author-X-Name-Last: Tan Title: Big data analytics adoption: an empirical study in the Malaysian warehousing sector Abstract: This paper aims to identify the factors affecting big data analytics (BDA) adoption in the Malaysian warehousing sector. The technology-organisation-environment (TOE) model serves as the underpinning framework. The survey data from 110 logistics firms were collected and analysed using PLS-SEM. The empirical results revealed that relative advantage, technological infrastructure, absorptive capability and government support influence the levels of BDA adoption, whilst industry competition appeared to be of no significant influence. This study is expected to facilitate warehousing firms in implementing the most appropriate strategies in adopting BDA. Warehousing firms that place great emphasis on operational superiority, ICT infrastructures, and technology assimilation, are more likely to adopt BDA. Considering that there is a paucity of evidence regarding the determinants of BDA adoption among Malaysian warehousing firms, this study enriches TOE-based literature on BDA. Furthermore, the findings potentially assist logistics practitioners in developing a holistic blueprint in managing their large data sets. Journal: Int. J. of Logistics Systems and Management Pages: 121-144 Issue: 1 Volume: 40 Year: 2021 Keywords: big data analytics; BDA; warehousing; sustainable warehouse; fourth industrial revolution; IR 4.0; technological advancement. File-URL: http://www.inderscience.com/link.php?id=117703 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:121-144 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin Kumar Verma Author-X-Name-First: Sachin Kumar Author-X-Name-Last: Verma Author-Name: Mohd. Rizwanullah Author-X-Name-First: Mohd. Author-X-Name-Last: Rizwanullah Author-Name: Chaman Singh Author-X-Name-First: Chaman Author-X-Name-Last: Singh Title: Optimal ordering policy for deteriorating items with stock dependent demand, partial backlogging and trade credit period Abstract: In this paper, policies of optimal ordering has been focussed on economic order quantity (EOQ) model, where we considered deteriorated as well as non-instantaneous nature items. In this inventory model, we are also assuming there is a stock-dependent demand and constant holding cost. Occurrence of shortage during the complete process of the system, taking into consideration with partial backlogging where deterioration of items follows the Weibull distribution. In the present study, it is considered that the supplier's proposed lucrative trade credit offers to the retailers to buy more to generate more revenue. Numerical examples parallel to the present inventory model gives an optimal result. Lastly, sensitivity analysis applied to different parameters and graphical representations have shown to validate the model. Journal: Int. J. of Logistics Systems and Management Pages: 95-120 Issue: 1 Volume: 40 Year: 2021 Keywords: stock dependent demand pattern; partial backlogging; constant holding cost; trade credit; Weibull deterioration. File-URL: http://www.inderscience.com/link.php?id=117709 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:95-120 Template-Type: ReDIF-Article 1.0 Author-Name: Vinod Yadav Author-X-Name-First: Vinod Author-X-Name-Last: Yadav Author-Name: Piyush Gaur Author-X-Name-First: Piyush Author-X-Name-Last: Gaur Author-Name: Rakesh Jain Author-X-Name-First: Rakesh Author-X-Name-Last: Jain Title: On adoption of green logistics: a literature review 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 analysed. Different methods of improving transportation are also discussed on the basis of simplicity in implementation which is also interlinked with cost. Journal: Int. J. of Logistics Systems and Management Pages: 193-219 Issue: 2 Volume: 40 Year: 2021 Keywords: green logistics; intermodal transportation; barriers in green logistics; paradox in green logistic. File-URL: http://www.inderscience.com/link.php?id=118736 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:193-219 Template-Type: ReDIF-Article 1.0 Author-Name: Sonu Rajak Author-X-Name-First: Sonu Author-X-Name-Last: Rajak Author-Name: P. Parthiban Author-X-Name-First: P. Author-X-Name-Last: Parthiban Author-Name: R. Dhanalakshmi Author-X-Name-First: R. Author-X-Name-Last: Dhanalakshmi Title: A DEA model for evaluation of efficiency and effectiveness of sustainable transportation systems: a supply chain perspective 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 CO<SUB align="right"><SMALL>2</SMALL></SUB> emission. A numerical illustration has been presented, and sensitivity analysis is performed at different <i>α</i> 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. Journal: Int. J. of Logistics Systems and Management Pages: 220-241 Issue: 2 Volume: 40 Year: 2021 Keywords: sustainable transportation; data envelopment analysis; DEA; sustainable supply chain management; SSCM; integrated enhanced russell measure; performance evaluation. File-URL: http://www.inderscience.com/link.php?id=118737 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:220-241 Template-Type: ReDIF-Article 1.0 Author-Name: Ilyas Masudin Author-X-Name-First: Ilyas Author-X-Name-Last: Masudin Author-Name: Faradilla W. Fernanda Author-X-Name-First: Faradilla W. Author-X-Name-Last: Fernanda Author-Name: Ferry Jie Author-X-Name-First: Ferry Author-X-Name-Last: Jie Author-Name: Dian Palupi Restuputri Author-X-Name-First: Dian Palupi Author-X-Name-Last: Restuputri Title: A review of sustainable reverse logistics: approaches and applications 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. 93 literatures 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 the 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. This study reviews a sample of recent and previous literatures in this field, which is an extraordinary topic in literature and that would be an exclusive overview. It provides an opportunity for the future research in comparing the study of sustainable reverse logistics. Journal: Int. J. of Logistics Systems and Management Pages: 171-192 Issue: 2 Volume: 40 Year: 2021 Keywords: remanufacturing; reverse logistics; sustainable reverse logistics; sustainable supply chain. File-URL: http://www.inderscience.com/link.php?id=118738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:171-192 Template-Type: ReDIF-Article 1.0 Author-Name: Túlio Fígaro Ulhoa Author-X-Name-First: Túlio Fígaro Author-X-Name-Last: Ulhoa Author-Name: Lauro Osiro Author-X-Name-First: Lauro Author-X-Name-Last: Osiro Author-Name: Rafael Henrique Palma Lima Author-X-Name-First: Rafael Henrique Palma Author-X-Name-Last: Lima Author-Name: Luiz Cesar Ribeiro Carpinetti Author-X-Name-First: Luiz Cesar Ribeiro Author-X-Name-Last: Carpinetti Title: Proposal of a supplier evaluation and ranking method based on fuzzy AHP and fuzzy TOPSIS 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 prioritising suppliers with greater performance. However, the evaluation of suppliers depends on the purchased item and requires 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. Journal: Int. J. of Logistics Systems and Management Pages: 266-286 Issue: 2 Volume: 40 Year: 2021 Keywords: fuzzy AHP; fuzzy TOPSIS; supplier evaluation; supplier ranking. File-URL: http://www.inderscience.com/link.php?id=118739 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:266-286 Template-Type: ReDIF-Article 1.0 Author-Name: Avijit Duary Author-X-Name-First: Avijit Author-X-Name-Last: Duary Author-Name: Tanmoy Banerjee Author-X-Name-First: Tanmoy Author-X-Name-Last: Banerjee Author-Name: Ali Akbar Shaikh Author-X-Name-First: Ali Akbar Author-X-Name-Last: Shaikh Author-Name: Seyed Taghi Akhavan Niaki Author-X-Name-First: Seyed Taghi Akhavan Author-X-Name-Last: Niaki Author-Name: Asoke Kumar Bhunia Author-X-Name-First: Asoke Kumar Author-X-Name-Last: Bhunia Title: A Weibull distributed deteriorating inventory model with all-unit discount, advance payment and variable demand via different variants of PSO Abstract: The goal of this research is to formulate an inventory control problem of a single item with variable demand dependent on displayed stock level and selling price of the commodity. The item deteriorates based on a three-parameter Weibull distribution and advance payment is needed to purchase the item with the all-unit discount policy. Shortages are allowed partially and backlogged with the rate dependent on the length of customers' waiting time. The corresponding problem is formulated as a profit maximisation model. For solving this problem, four different variants of particle swarm optimisation (PSO) are utilised. Then, the application of the model is illustrated with the help of a numerical example. Finally, sensitivity analyses are carried out to study the impact of different parameters on optimal policies. Journal: Int. J. of Logistics Systems and Management Pages: 145-170 Issue: 2 Volume: 40 Year: 2021 Keywords: inventory; all-unit discount policy; Weibull distribution; variable demand; partial backlogging; particle swarm optimisation; PSO; advance payment. File-URL: http://www.inderscience.com/link.php?id=118754 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:145-170 Template-Type: ReDIF-Article 1.0 Author-Name: Ashwin Panchapakesan Author-X-Name-First: Ashwin Author-X-Name-Last: Panchapakesan Author-Name: Rami Abielmona Author-X-Name-First: Rami Author-X-Name-Last: Abielmona Author-Name: Emil Petriu Author-X-Name-First: Emil Author-X-Name-Last: Petriu Title: Optimising commercial port operations through high-level information fusion Abstract: In order to remain profitable, commercial maritime ports must maintain high throughput of inbound vessels. The gantry cranes that load and unload the vessels are the primary point of interaction between a vessel and the port, which cause a critical bottleneck in the process flow. Errors in this segment of the process cause cascading delays which ultimately cause vessel service backlogs, extending to logistical delays in moving shipping containers across land and rail as well. This is to the detriment of the ports, which lose popularity among shipping lines and may even be fined for causing sub-optimal delays. This work expands on prior work in using a multi-objective genetic algorithm to optimise the parameters of a fuzzy system which controls port-side resource deployment. In contrast to existing solutions, this resource deployer is able to function online and adapt to real-world faults while still maintaining superior performance as compared to industry practice. Further, proposals to expand or reduce the port-side infrastructure are computed. Journal: Int. J. of Logistics Systems and Management Pages: 242-265 Issue: 2 Volume: 40 Year: 2021 Keywords: information fusion; multi-objective optimisation; genetic algorithms; fuzzy systems; data mining. File-URL: http://www.inderscience.com/link.php?id=118756 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:40:y:2021:i:2:p:242-265