Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Bourzik Author-X-Name-First: Mohammed Author-X-Name-Last: Bourzik Author-Name: Ahmed El Hiali Alaoui Author-X-Name-First: Ahmed El Hiali Author-X-Name-Last: Alaoui Title: The optimal location of the wireless charging infrastructure for electric vehicles with heterogeneous batteries in the highway Abstract: Dynamic wireless charging makes it possible to charge electric vehicles without contact while in motion from the transmitters buried under the road (segments and inverters). Our contribution to this work is to study the problem of locating wireless charging infrastructure on a long highway road between origin O and destination S with heterogeneous battery vehicles. Each type of vehicle requires its allocation of segments in the road because of the heterogeneity of batteries, which increases the number of recharge transmitters on the highway; for this purpose, we search to ensure the trip of each type of vehicle without remaining out of load, by the minimum number of segments and inverters on the road. We propose to model the problem as a mathematical problem and validate it with a CPLEX optimiser for limited instances. In the last step of this work, we will solve the problem using a multi-agent metaheuristic. Journal: Int. J. of Logistics Systems and Management Pages: 94-118 Issue: 1 Volume: 50 Year: 2025 Keywords: mathematical programming; transportation problem; metaheuristic methods; electric vehicles; EVs; heterogeneous batteries; long road. File-URL: http://www.inderscience.com/link.php?id=143887 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:94-118 Template-Type: ReDIF-Article 1.0 Author-Name: Assadej Vanichchinchai Author-X-Name-First: Assadej Author-X-Name-Last: Vanichchinchai Author-Name: Nonglak Limsomkiat Author-X-Name-First: Nonglak Author-X-Name-Last: Limsomkiat Title: Logistics service quality satisfaction and impacts on financial performance Abstract: The purposes of this research are to explore shipper satisfaction about logistics service quality (LSQ) of freight forwarders, to evaluate resource allocation efficiency for LSQ, and to explore the effects of LSQ on financial performance of shippers. A modified SERVQUAL with additional cost dimensions was used to collect data from 237 furniture exporters in Thailand. Descriptive statistics, gap analysis with paired sample t-test, importance-performance analysis (IPA), priority nonconformity index (PNCI) and multiple regression were utilised for data analysis. It was found that there was significant shipper dissatisfaction with overall LSQ, every dimension and indicator. Shippers were dissatisfied most and least about cost and tangibles, respectively. Although the IPA revealed no over performed or underperformed LSQ dimensions, PNCI further suggested transfer of resources from reliability and tangibles to improve cost and assurance. Reliability, tangibles, responsiveness and cost significantly increased sales. However, no LSQ dimension had a significant effect on shipper profitability. Journal: Int. J. of Logistics Systems and Management Pages: 119-134 Issue: 1 Volume: 50 Year: 2025 Keywords: service quality; logistics service quality; LSQ; SERVQUAL; logistics service provider; priority non-conformity index; PNCI; financial performance. File-URL: http://www.inderscience.com/link.php?id=143888 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:119-134 Template-Type: ReDIF-Article 1.0 Author-Name: Alejandro Vigo Camargo Author-X-Name-First: Alejandro Vigo Author-X-Name-Last: Camargo Author-Name: Yavuz A. Bozer Author-X-Name-First: Yavuz A. Author-X-Name-Last: Bozer Title: Development and application of a cost-driven decision model for store replenishment logistics in the fast-food sector Abstract: In this paper, we address the store replenishment problem (SRP) in the fast-food sector, which is concerned with minimising the logistics costs associated with replenishing stores in a network over a fixed time horizon. We develop a cost function that captures transportation, labour, truck availability, and route-time overage costs and compare its performance against traditional, one-dimensional objectives, such as minimising only the travel distances or the fleet size. We formulate the SRP as a mixed-integer program and present a modified nearest-neighbour-based clustering heuristic to pre-generate a set of potential delivery routes. The model concurrently determines the fleet size, the delivery routes, and chooses between single-driver and team routes. Using real-world data from our industry collaborator we show that the proposed heuristic yields solutions with lower costs than the industry baseline. Furthermore, we show that superior results are obtained from an objective with multiple cost components compared to traditional one-dimensional objectives. Journal: Int. J. of Logistics Systems and Management Pages: 69-93 Issue: 1 Volume: 50 Year: 2025 Keywords: store replenishment; clustering heuristic; supply chain logistics; fast-food supply chain. File-URL: http://www.inderscience.com/link.php?id=143889 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:69-93 Template-Type: ReDIF-Article 1.0 Author-Name: Reza Rahimi Baghbadorani Author-X-Name-First: Reza Rahimi Author-X-Name-Last: Baghbadorani Author-Name: Mohammad Haeri Author-X-Name-First: Mohammad Author-X-Name-Last: Haeri Title: An innovative method to solve classic and dynamic multi-depot vehicle routing problem Abstract: A significant part of distribution companies' final interest and cost is related to delivering goods to customers. Due to constraints on service hours and service distances, logistics companies usually build multiple depots to serve a large number of dispersed customers. This is why multi-depot vehicle routing problems (MDVRP) win more and more companies' attention to thrift their cost. In this research, first, we address a classic form of MDVRP and ponder its solution. A tuning parameter is introduced to trade-off between the final and computation costs. Then, considering issues like traffic congestion variations, increasing or decreasing number of customers, and other uncertainties, dynamic MDVRP is analysed. A receding horizon approach is proposed, and its performance in three scenarios is investigated. Simulation results show that the proposed algorithm is feasible and efficient to solve the dynamic MDVRP. Journal: Int. J. of Logistics Systems and Management Pages: 28-50 Issue: 1 Volume: 50 Year: 2025 Keywords: vehicle routing problem; VRP; classic MDVRP; receding horizon; dynamic MDVRP; capacitated clustering. File-URL: http://www.inderscience.com/link.php?id=143890 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:28-50 Template-Type: ReDIF-Article 1.0 Author-Name: B. Malleeswaran Author-X-Name-First: B. Author-X-Name-Last: Malleeswaran Author-Name: R. Uthayakumar Author-X-Name-First: R. Author-X-Name-Last: Uthayakumar Title: A two-echelon sustainable supply chain model for third-party logistics and warehouse financing using multi factor-dependent demand under revenue sharing and consumer segmentation Abstract: In this model, we consider that customer demand depends on multi-factors such as quality, price, and logistics service level, and the manufacturer can decide the product's quality degree. Further, we develop this model by combining supply chain management with two financial approaches. Namely, third-party logistics and warehouse financing practices developed. This study aims to understand the relationship between supply chain management and third-party logistics under revenue sharing and consumer segmentation. This paper is developed under two models. Model I analyses the impact of an integrated two-echelon SC without market segmentation. Similarly, model II analyses the impact of an integrated two-echelon SC with market segmentation. The revenue-sharing contract is a type of agreement that specifies how earnings and losses are shared among partners in a supply chain. This paper investigates the manufacturer's and retailer's profits in a supply chain management system with third-party logistics and warehouse financing services. Moreover, we obtain the optimal solutions for the given decision variables by classical optimisation methods. Journal: Int. J. of Logistics Systems and Management Pages: 51-68 Issue: 1 Volume: 50 Year: 2025 Keywords: third-party logistics; TPL; warehouse financing; revenue sharing; consumer segmentation; multi-factor sensitive demand. File-URL: http://www.inderscience.com/link.php?id=143891 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:51-68 Template-Type: ReDIF-Article 1.0 Author-Name: Fatemeh Jaferi Author-X-Name-First: Fatemeh Author-X-Name-Last: Jaferi Author-Name: Arash Shahin Author-X-Name-First: Arash Author-X-Name-Last: Shahin Author-Name: Mohammadreza Vasili Author-X-Name-First: Mohammadreza Author-X-Name-Last: Vasili Author-Name: Omid Boyer Hassani Author-X-Name-First: Omid Boyer Author-X-Name-Last: Hassani Title: Designing a closed-loop supply chain network with a focus on the circular economy concept Abstract: This paper aims to propose a multi-objective planning model to optimise the closed-loop supply chain network considering the circular economy concept. The intended mathematical model can view all aspects of sustainability, including economic, environmental, and social factors. Objective functions have become a one-objective planning problem using the additive weighing method. The designed mathematical model is solved by GAMS software. Designing a mathematical planning model to optimise the sustainable closed-loop supply chain network focusing on the circular economy concept and considering a framework for validation and solution of the developed model with an appropriate computational method are the main contributions in this paper. The results show that acceptable results are obtained by implementing the proposed model. Journal: Int. J. of Logistics Systems and Management Pages: 1-27 Issue: 1 Volume: 50 Year: 2025 Keywords: circular economy; sustainable development; closed-loop supply chain; CLSC; supply chain. File-URL: http://www.inderscience.com/link.php?id=143892 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Theodoros Daglis Author-X-Name-First: Theodoros Author-X-Name-Last: Daglis Title: The response of the logistics and supply chain industries to two different crises - a Google trends econometric approach Abstract: In this paper, we test whether Google searches provide useful forecasting ability on some of the biggest logistics and supply chain companies' stocks, during two crises of different origins, namely, the crisis of 2008, and the COVID-19 crisis. We also examine the spillover effects among these stocks for both periods. Additionally, we compare the aforementioned results regarding the two crises. Based on our findings, the examined keywords provide useful information for the forecasting of logistics and supply chain companies' stocks for both crises. Especially for the crisis of COVID-19, Google trends contribute to the forecasting of these stocks' performance, even in some cases that the pandemic data did not provide. Finally, there are spillover effects for both crises, but for the COVID-19 era, spillover effects are less in multitude than those during the crisis of 2008. Journal: Int. J. of Logistics Systems and Management Pages: 135-162 Issue: 2 Volume: 50 Year: 2025 Keywords: COVID-19; crisis; Google trends; stringency lockdown index; logistics; supply chain. File-URL: http://www.inderscience.com/link.php?id=144434 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:135-162 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Author-Name: Bih-Ru Lea Author-X-Name-First: Bih-Ru Author-X-Name-Last: Lea Title: The impact of forecasting error, stream level, and control mechanism of the supply chain enhanced by theory of constraints on the order fill rate and the inventory level Abstract: This research aims to validate the usefulness of the theory of constraints (TOC) principles for supply chain management. Such validation starts with the assessment of the impact of forecasting error, the stream level of supply chain partners, and the choice of supply chain control mechanism on the performance of a supply chain enhanced by TOC. Specifically, throughput dollar days (TDDs) and inventory dollar days (IDDs) were used as supply chain control measures. The results revealed that TOC-enhanced supply chain performance hinges on the extent of demand forecasting error and that the stream level (being in the upstream or downstream) of the supply chain partner tended to influence its inventory size and the subsequent inventory carrying cost, whereas the stream level had little to do with the supply chain partner's order fill rate. Furthermore, the dynamics of the supply chain control mechanism with regard to supply chain performance have been analysed. Journal: Int. J. of Logistics Systems and Management Pages: 179-208 Issue: 2 Volume: 50 Year: 2025 Keywords: supply chain performance; theory of constraints; TOCs; throughput dollar days; TDDs; inventory dollar days; IDDs; supply chain disruption. File-URL: http://www.inderscience.com/link.php?id=144435 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:179-208 Template-Type: ReDIF-Article 1.0 Author-Name: Fernando Bernardi de Souza Author-X-Name-First: Fernando Bernardi de Author-X-Name-Last: Souza Author-Name: Lucas Martins Ikeziri Author-X-Name-First: Lucas Martins Author-X-Name-Last: Ikeziri Title: Demand management: the essence of the theory of constraints? Abstract: Several studies confirm that successful implementations of the theory of constraints (TOC) are expressive to the extent that the constraints are no longer internal and move into the market, making demand management (DM) a key role. Thus, the DM process is understood by the TOC as a way to identify a significant market need, build a decisive competitive edge (DCE) based on this by excellence in operations, capitalise on it, and sustain the DCE achieved from a fine synchronisation amongst some functions of an organisation, especially operations, sales, and marketing. A theoretical framework outlining the main practices of DM given the TOC is proposed and discussed under the global supply chain forum perspective. The results show that the TOC way of managing operations supports the sub-processes and their activities in the DM process, but they are carried out in a unique way. Journal: Int. J. of Logistics Systems and Management Pages: 233-265 Issue: 2 Volume: 50 Year: 2025 Keywords: strategy and tactic tree; supply chain management; SCM; unrefusable offer; URO; simplified drum-buffer-rope; make-to-availability; MTA; dynamic buffer management; DBM. File-URL: http://www.inderscience.com/link.php?id=144436 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:233-265 Template-Type: ReDIF-Article 1.0 Author-Name: Shalini Singh Author-X-Name-First: Shalini Author-X-Name-Last: Singh Author-Name: Himanshu Mishra Author-X-Name-First: Himanshu Author-X-Name-Last: Mishra Author-Name: Ajay Jha Author-X-Name-First: Ajay Author-X-Name-Last: Jha Author-Name: Ashish Dwivedi Author-X-Name-First: Ashish Author-X-Name-Last: Dwivedi Title: A framework for comparing the sustainable practices in retail sector: towards attaining SDGs Abstract: Sustainability has become a powerful value proposition to achieve competitive advantage in current environment conscious world. Retailers occupy a unique position in the lifecycle chain of products serving and influencing consumption and production pattern. There is dire need to research on the cost benefit analysis of sustainable approaches taken by retailers in terms of additional expenses, customer acquisition/retention, business practices and promoting sustainable manufacturer brands. The present study explores the contribution of organised retail players in meeting the sustainability objectives laid down by the United Nations as 17 sustainable development goals (SDGs). The study looks into existing literature, retailers' annual and sustainability reports, and global trends news to identify and compare the sustainability efforts undertaken by prominent organised retailers. In addition, this study also develops a theoretical framework that can guide the retailers to assimilate sustainable business practices in their operations for attaining SDGs. Journal: Int. J. of Logistics Systems and Management Pages: 209-232 Issue: 2 Volume: 50 Year: 2025 Keywords: sustainability; sustainable development goals; SGDs; retail; United Nations; sustainable business model; SBM. File-URL: http://www.inderscience.com/link.php?id=144437 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:209-232 Template-Type: ReDIF-Article 1.0 Author-Name: Abolfazl Kazemi Author-X-Name-First: Abolfazl Author-X-Name-Last: Kazemi Author-Name: Marzieh Karimi Author-X-Name-First: Marzieh Author-X-Name-Last: Karimi Author-Name: Mahsa Oroojeni Mohammad Javad Author-X-Name-First: Mahsa Oroojeni Mohammad Author-X-Name-Last: Javad Title: A multi-objective green supply chain network design with price-dependent demand Abstract: For many years, various businesses have used the supply chain management system to survive in a competitive market and have a more realistic vision for their business. Designing an optimal supply chain network determines supply chain efficiency and customer satisfaction. In this paper, a multi-objective model for designing a multi-product green supply chain network is proposed considering price-dependent demand conditions. The first objective function aims to maximum profit of the whole chain, including the difference between the revenue from the sale of products and the total operating cost, including fixed costs and variable costs. The second objective function minimises the supply chain's production and transportation pollution. For solving the NP-hard model, multi-objective algorithms based on Pareto, multi-objective simulated annealing algorithm (MOSA), and multi-objective variable neighbourhood search algorithm (MOVNS) is used. Finally, the statistical hypothesis test and the five standard indicators are applied to evaluate and compare algorithms. Journal: Int. J. of Logistics Systems and Management Pages: 266-285 Issue: 2 Volume: 50 Year: 2025 Keywords: green supply chain network design; price-dependent demand; Pareto-based algorithms. File-URL: http://www.inderscience.com/link.php?id=144438 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:266-285 Template-Type: ReDIF-Article 1.0 Author-Name: Ashish Bhatt Author-X-Name-First: Ashish Author-X-Name-Last: Bhatt Author-Name: Bijal Zaveri Author-X-Name-First: Bijal Author-X-Name-Last: Zaveri Title: Identifying trends in trade and logistics performance: a systematic literature review Abstract: The logistics performance index (LPI) of the World Bank is a useful tool for countries to assess their current situation and evaluate their performance in the global logistics industry. The findings of the study confirm the link between logistics performance and a country's economic growth. For Africa, Europe, and Asia, literature has found a favourable relationship between logistical performance and international trade. The study looked at 151 research publications and analysed them by year, region, and income, as well as citations of research articles and authors, top journals with citation data, and methodologies employed in research articles with suggestions. The findings shed light on the current situation of LPI and foreign trade. The study suggested that the new researcher focus more on low-income groups using new statistical tools and approaches, as well as new factors such as logistics cooperation and collaboration. Journal: Int. J. of Logistics Systems and Management Pages: 163-178 Issue: 2 Volume: 50 Year: 2025 Keywords: logistics performance index; LPI; trade; competitiveness; sustainability; bibliometric analysis; VOSviewer; Scopus. File-URL: http://www.inderscience.com/link.php?id=144439 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:2:p:163-178 Template-Type: ReDIF-Article 1.0 Author-Name: Khalid Alzoubi Author-X-Name-First: Khalid Author-X-Name-Last: Alzoubi Author-Name: Nader Al Theeb Author-X-Name-First: Nader Al Author-X-Name-Last: Theeb Author-Name: Tasneem Al-Khalailah Author-X-Name-First: Tasneem Author-X-Name-Last: Al-Khalailah Title: Selecting the best network design for COVID-19 healthcare waste disposal using fuzzy analytic hierarchy process Abstract: The COVID-19 pandemic has dramatically affected our lives and impacted healthcare systems and the global economy. Therefore, it has become necessary to limit the spread of the virus. The proper disposal of medical waste is one of the important ways to reduce the negative effect of the virus. This study focuses on selecting the best network design for COVID-19 waste disposal in Jordan. Fuzzy analytic hierarchy process (FAHP) was used to select the best network design based on quantitative criteria of <i>total cost and response time, and qualitative criteria of customer experience, safety practices in waste handling, and effect on the environment</i>. Three reverse-logistic networks were considered; <i>direct shipping, shipping with milk runs, and shipping with cross docking</i>. The findings have revealed that shipping with cross docking was the best network design with a weighted score of 0.478. Therefore, the use of FAHP approach helped in selecting the best network configuration for disposing of COVID-19 waste under conditions of high uncertainty. Journal: Int. J. of Logistics Systems and Management Pages: 319-333 Issue: 3 Volume: 50 Year: 2025 Keywords: distribution networks; waste disposal; COVID-19; reverse logistics; sustainability; fuzzy analytic hierarchy process; FAHP. File-URL: http://www.inderscience.com/link.php?id=144674 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:319-333 Template-Type: ReDIF-Article 1.0 Author-Name: Sahar Elbarky Author-X-Name-First: Sahar Author-X-Name-Last: Elbarky Author-Name: Rowan Abd Elbary Author-X-Name-First: Rowan Abd Author-X-Name-Last: Elbary Author-Name: Rawan El Haddad Author-X-Name-First: Rawan El Author-X-Name-Last: Haddad Title: Eliminating food loss and waste using lean tools in the agri-food supply chain Abstract: The purpose of this study is to investigate the factors and root causes of the increasing percentage of food loss and waste in the agri-food supply chain activities in the Egyptian market and propose a solution to eliminate such wastes using lean tools and techniques. Multiple case studies have already been conducted in the agri-food sector employing structured interviews with stakeholders in Egypt to identify the factors and root causes of agri-food waste in a real-life context using Pareto analysis. As per our findings, it was determined that the poor arrangement of boxes on trucks, temperature, the distance between farm and place of delivery, exposure to sunlight, and poor handling practices are the root causes for loss. The researchers developed work instructions and training programs to educate the stakeholders on how to eliminate the sources of potential wastes in the supply chain activities. Journal: Int. J. of Logistics Systems and Management Pages: 287-318 Issue: 3 Volume: 50 Year: 2025 Keywords: agri-food sector; agri-food loss and waste; lean tools; work instructions; training programs. File-URL: http://www.inderscience.com/link.php?id=144675 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:287-318 Template-Type: ReDIF-Article 1.0 Author-Name: Maquele Antunes de Oliveira Author-X-Name-First: Maquele Antunes de Author-X-Name-Last: Oliveira Author-Name: Marina Hernandes de Paula e Silva Author-X-Name-First: Marina Hernandes de Paula e Author-X-Name-Last: Silva Author-Name: Orlando Henrique Batista Junior Author-X-Name-First: Orlando Henrique Batista Author-X-Name-Last: Junior Author-Name: Juliana Veiga Mendes Author-X-Name-First: Juliana Veiga Author-X-Name-Last: Mendes Author-Name: Luis Antonio de Santa-Eulalia Author-X-Name-First: Luis Antonio de Author-X-Name-Last: Santa-Eulalia Title: Reverse logistics sustainability performance: from a systematic review to an assessment framework Abstract: Concern about sustainability has increased companies' awareness of the importance of reverse logistics (RL) and its related opportunity as a competitive advantage. Despite the importance of this subject, the literature provides a limited number of frameworks on sustainability performance measurement in RL. There is a lack of studies in the literature that provide a clear overview about sustainable performance generating a practical model from it. To contribute to reducing this gap, this paper aims to propose a framework, classifying different indicators according to the triple bottom line (TBL) and through the RL stages - collection, analysis and classification, processing and final destination. A systematic literature review in the intersection of RL stages and sustainability performance was conducted to accomplish the objective. Results include indicators organised into a framework, covering the TBL and RL stages. Our findings also suggest the TBL social dimension is understudied in RL and that more studies indicating how to calculate the indicators are needed. Journal: Int. J. of Logistics Systems and Management Pages: 334-360 Issue: 3 Volume: 50 Year: 2025 Keywords: sustainable development; operations management; performance indicators; triple bottom line; TBL. File-URL: http://www.inderscience.com/link.php?id=144676 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:334-360 Template-Type: ReDIF-Article 1.0 Author-Name: Marcello Fera Author-X-Name-First: Marcello Author-X-Name-Last: Fera Author-Name: Mario Caterino Author-X-Name-First: Mario Author-X-Name-Last: Caterino Title: Practical optimisation model for SMEs of last mile delivery service Abstract: The delivery business is growing rapidly and consistently in the whole world. This is leading small and medium enterprises (SMEs) to join the business of the last mile delivery service. SMEs are different from the big players in services and products offered; thus, also the optimisation objectives of the SMEs are different from the big partners: often, SMEs do not possess vehicles and outsource to external partners the last mile deliveries, thus they aim to optimise the assignment of the deliveries for minimising the costs. Hence, the development of methods to find feasible solutions for assignation problems related to last mile delivery becomes fundamental for SMEs. This paper aims to address the problem of cost minimisation when outsourcing the last mile delivery service by mathematically representing the assignment decision problem and by proposing the genetic algorithm (GA) as metaheuristic to solve the problem. The tests revealed the effectiveness of the GA. Journal: Int. J. of Logistics Systems and Management Pages: 410-427 Issue: 3 Volume: 50 Year: 2025 Keywords: last mile delivery service; assignment problem; genetic algorithm; small-medium enterprise; optimisation. File-URL: http://www.inderscience.com/link.php?id=144678 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:410-427 Template-Type: ReDIF-Article 1.0 Author-Name: Asmaa Galal Author-X-Name-First: Asmaa Author-X-Name-Last: Galal Author-Name: Hesham Elawady Author-X-Name-First: Hesham Author-X-Name-Last: Elawady Author-Name: Noha A. Mostafa Author-X-Name-First: Noha A. Author-X-Name-Last: Mostafa Title: An integrated framework for third party logistic evaluation by using fuzzy analytical hierarchy process and technique for order preference by similarity to ideal solution Abstract: This paper provides an integrated approach for evaluating and selecting third party logistics (3PLs) service providers. It contains two phases: the first phase employs a fuzzy analytical hierarchy process to specify the weights of the evaluation criteria, while the second phase uses the technique for order preference by similarity to ideal solution to evaluate the alternatives, sequence them, and select the best option. Finally, the proposed approach was implemented for a case study with four criteria and three alternatives. After that, sensitivity analysis was developed to get deeper insights. The results manifest the impact of using different methods to find the fuzzy sets on the value of criteria. The most important factors in 3PL selection were found to be compatibility (47.17%), financial performance (25.49%), reputation (16.52%) and long-term relationship (10.82%). The paper compares between using the extent analysis method and the geometric mean technique to find the fuzzy numbers. Journal: Int. J. of Logistics Systems and Management Pages: 361-385 Issue: 3 Volume: 50 Year: 2025 Keywords: third party logistics; 3PLs; multi-criteria decision making; MCDM; fuzzy analytic hierarchy process; FAHP; TOPSIS; extent analysis method; geometric mean technique; outsourcing. File-URL: http://www.inderscience.com/link.php?id=144680 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:361-385 Template-Type: ReDIF-Article 1.0 Author-Name: Benyamin Feghhi Author-X-Name-First: Benyamin Author-X-Name-Last: Feghhi Author-Name: Mohamad Sadegh Sangari Author-X-Name-First: Mohamad Sadegh Author-X-Name-Last: Sangari Author-Name: Abbas Keramati Author-X-Name-First: Abbas Author-X-Name-Last: Keramati Author-Name: Mohammad Reza Rouhani-Tazangi Author-X-Name-First: Mohammad Reza Author-X-Name-Last: Rouhani-Tazangi Title: Designing a robust multi-objective blood supply chain network with permanent and mobile facilities for disaster relief Abstract: This study presents a blood supply chain network design in disaster conditions with the objectives of minimising total costs and blood delivery time while maximising equity among demand points. To address the uncertainties in supply and demand parameters, a robust optimisation based on Sim and Bertsimas' method is utilised. The initial model is solved using GAMS, and then, to validate the proposed model, data from a case study of Fars Province Blood Transfusion Organization is utilised. Sensitivity analysis is conducted on the crucial parameters of the problem for optimal decision making in disaster conditions. The numerical results indicate that by increasing the error of nonlinear parameters and the constant levels of supply and demand parameters, the objective functions will be worse. The findings help managers to plan for the worst-case scenarios and more effective supply chain decision making. Journal: Int. J. of Logistics Systems and Management Pages: 386-409 Issue: 3 Volume: 50 Year: 2025 Keywords: supply chain network design; blood supply chain; disaster relief; multi-objective model; robust optimisation. File-URL: http://www.inderscience.com/link.php?id=144698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:3:p:386-409 Template-Type: ReDIF-Article 1.0 Author-Name: Nidhi Yadav Author-X-Name-First: Nidhi Author-X-Name-Last: Yadav Author-Name: Dixit Garg Author-X-Name-First: Dixit Author-X-Name-Last: Garg Author-Name: Sunil Luthra Author-X-Name-First: Sunil Author-X-Name-Last: Luthra Title: Analysis of enablers for the adoption of blockchain for net-zero supply chain Abstract: In response to India's commitment to achieving net-zero carbon emission by 2070, supply chain researchers and practitioners are keen to transform their conventional supply chain into net-zero supply chain (NZSC). Digitalisation of the supply chain such as the use of blockchain technology (BCT) is one strategy to reduce carbon emissions of the supply chain. Despite its potential and years of fanfare, BCT is yet to gain widespread recognition and adoption. Fifteen blockchain adoption enablers for NZSC have been identified based on an extensive literature review. Further, the technique for order of preference by similarity to ideal solution (TOPSIS) is used for ranking identified enablers based on multiple-criteria decision-making (MCDM). The results showed that 'transparency and traceability' are the most critical enablers for implementing BCT for NZSC. This research has also recommended many theoretical and managerial implications for future research in this field. Journal: Int. J. of Logistics Systems and Management Pages: 429-450 Issue: 4 Volume: 50 Year: 2025 Keywords: net-zero supply chain; NZSC; blockchain technology; BCT; multiple-criteria decision-making; MCDM; TOPSIS. File-URL: http://www.inderscience.com/link.php?id=145686 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:429-450 Template-Type: ReDIF-Article 1.0 Author-Name: Woramol C. Watanabe Author-X-Name-First: Woramol C. Author-X-Name-Last: Watanabe Author-Name: Patchanee Patitad Author-X-Name-First: Patchanee Author-X-Name-Last: Patitad Title: Effects of duration of visits on COVID-19 infection using a multi-agent simulation and lean concept Abstract: In the COVID-19 pandemic, social distancing become a critical issue. People need to avoid spending time in crowded places. However, some activities cannot be postponed such as an appointment in a hospital. For geriatric care, there are many processes that mean elderly patients need to spend a long time. While they also have a higher risk of serious illness from COVID-19 in a limited space. To decrease time spent, this research aims to improve the case study in Thailand by using value-added analysis and the lean concept with the ECSR technique. Besides, an analysis of the effects of the duration of patient visits on the infection is presented by using a multi-agent simulation. The result presents that the duration of patient visits is decreased by 12.82% from the current operation. The simulation also declares that if the duration is decreased, the number of COVID-19-infected patients is significantly decreased. Journal: Int. J. of Logistics Systems and Management Pages: 498-509 Issue: 4 Volume: 50 Year: 2025 Keywords: lean healthcare; value-added analysis; COVID-19; multi-agent simulation. File-URL: http://www.inderscience.com/link.php?id=145687 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:498-509 Template-Type: ReDIF-Article 1.0 Author-Name: Mahmood Ahmad Author-X-Name-First: Mahmood Author-X-Name-Last: Ahmad Author-Name: Ammar Al-Bazi Author-X-Name-First: Ammar Author-X-Name-Last: Al-Bazi Title: Literature review on supply chain transportation and disruption factors Abstract: Transportation is a primary key factor for the operations of any successful supply chain. However, transportation management must be efficient and well organised, even though the possibility of damaging and interrupting an event is more likely to happen due to the competitive and globalise environment nowadays. This study conducts a comprehensive literature review focused on the transportation aspects of the supply chain precisely. The aim is to classify the recent literature on different aspects of supply chain transportation and to address the consideration of disruptions in transportation studies. Therefore, a conceptual framework is developed to analyse the interrelated relationship among the disruption factors, identify the research gaps and recommend future works for researchers. Journal: Int. J. of Logistics Systems and Management Pages: 451-475 Issue: 4 Volume: 50 Year: 2025 Keywords: supply chain; supply chain transportation; disruption factors; transportation disruption. File-URL: http://www.inderscience.com/link.php?id=145688 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:451-475 Template-Type: ReDIF-Article 1.0 Author-Name: Pinyarat Sirisomboonsuk Author-X-Name-First: Pinyarat Author-X-Name-Last: Sirisomboonsuk Author-Name: James R. Burns Author-X-Name-First: James R. Author-X-Name-Last: Burns Title: An analysis of the natural gas production supply chain in the Permian Basin using Goldratt's theory of constraints Abstract: A theory of constraints (TOC) model of supply-chain capacity and its limiting effect on natural gas production capacity coming from the Permian Basin is developed and presented. The authors use the model to better understand production capacity limitations and to explore the possible impediments that may be preventing the capacity of the Permian Basin from increasing. From this model numerous suggestions (solutions, injections) are made as to how to alleviate the impediments related to the extraction, transport, refining and distribution of natural gas coming out of the Permian Basin. Major issues associated with the Permian Basin are addressednamely the flaring of natural gas and the leakage of methane from dormant and abandoned wells. One purpose of the model is to foster a basic appreciation for the different lead times and fixed costs associated with capacity expansion of the various supply chain components. Journal: Int. J. of Logistics Systems and Management Pages: 510-534 Issue: 4 Volume: 50 Year: 2025 Keywords: bottleneck; current reality tree; CRT; future reality tree; FRT; gas production; logistics; Permian Basin; supply chain; theory of constraints; TOC; thinking process. File-URL: http://www.inderscience.com/link.php?id=145689 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:510-534 Template-Type: ReDIF-Article 1.0 Author-Name: John Jeong Kim Author-X-Name-First: John Jeong Author-X-Name-Last: Kim Title: Mitigating supply chain disruptions, risks, and vulnerabilities Abstract: The global supply chain has made numerous strides in improving processes to keep the supply chain functional. However, supply chain businesses suffer disruptions from many different factors, which impact the supply chain businesses and customers. The purpose of this research was to understand the various ways the supply chain disruption occurs and to develop potential ideas on mitigating disruptions. The background of the issue was researched, followed by the interview of 11 high-level supply chain managers and employees to obtain data for understanding the disruption factors and the strategies that were developed and implemented to mitigate the risks and impact of disruptions. After the interviews were conducted, a thematic analysis was used to analyse the data collected to discover several themes. Each theme involved a general strategy that supply chain businesses can implement and develop based on the different organisational culture while keeping the priorities and goals the same. Journal: Int. J. of Logistics Systems and Management Pages: 561-576 Issue: 4 Volume: 50 Year: 2025 Keywords: supply chain industry; supply chain disruptions; risk management; disruption mitigation; supply chain vulnerability; supply chain security; supply chain management; SCM. File-URL: http://www.inderscience.com/link.php?id=145690 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:561-576 Template-Type: ReDIF-Article 1.0 Author-Name: Yangyan Shi Author-X-Name-First: Yangyan Author-X-Name-Last: Shi Author-Name: Luying Liu Author-X-Name-First: Luying Author-X-Name-Last: Liu Author-Name: Walter Glass Author-X-Name-First: Walter Author-X-Name-Last: Glass Author-Name: Yangfei Gao Author-X-Name-First: Yangfei Author-X-Name-Last: Gao Author-Name: Eias Ai Humdan Author-X-Name-First: Eias Ai Author-X-Name-Last: Humdan Title: Third party purchase: an empirical study from the Chinese automotive industry Abstract: Third-party purchases (3PP) offered by third-party logistics (3PL) providers are a new concept in the contemporary business context. The primary objective of our study is to explore a possible method of improving relationships between 3PP service providers and suppliers in China's automotive industry. We analyse a 3PP service provider by interviewing its employees and suppliers. A qualitative research method was employed using a single case study protocol. We deliberately selected a 3PP service provider operating in the automotive industry. We then collected empirical data via face-to-face interviews with well-informed 3PP employees and a cross-section of 32 suppliers. The major finding of this study is that 3PP service providers not only help to improve operational efficiency, but they also reduce prices for their clients. The study comprehensively analyses the implementation of 3PP in the automotive industry in China. Journal: Int. J. of Logistics Systems and Management Pages: 476-497 Issue: 4 Volume: 50 Year: 2025 Keywords: outsourcing; third-party purchase; 3PP; automotive industry; case study; China; third-party logistics; 3PL. File-URL: http://www.inderscience.com/link.php?id=145691 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:476-497 Template-Type: ReDIF-Article 1.0 Author-Name: Nada Yahia Author-X-Name-First: Nada Author-X-Name-Last: Yahia Author-Name: Sara El Gazzar Author-X-Name-First: Sara El Author-X-Name-Last: Gazzar Author-Name: May Salah ElDine Mohamed Author-X-Name-First: May Salah ElDine Author-X-Name-Last: Mohamed Title: The impact of the Belt and Road Initiative's 21st maritime silk road on the Suez Canal zone economics Abstract: In a world of globalisation, new initiatives are born every day. One of the most recent initiatives is the Chinese Belt and Road Initiative (BRI) which is expected to cause a revolutionary change in international trade. Egypt - particularly the Suez Canal zone - is one of the potential countries expected to reap the outcomes of this initiative. The main aim of this study is to investigate the impact of BRI drivers on Suez Canal zone economics. This is achieved by a methodology that includes first, conducting narrative literature review to derive the research variables, followed by distributing questionnaires and analysing the responses using structural equation modelling (SEM) statistical tool. The results derived a research framework that could be used in further researches to test the impact of the initiative on the economics of the participating countries. This implies both contribution to knowledge and a practical contribution. Journal: Int. J. of Logistics Systems and Management Pages: 353-360 Issue: 4 Volume: 50 Year: 2025 Keywords: Belt and Road Initiative; BRI; Suez Canal; gross domestic product; GDP; FDI; output volatility; international trade. File-URL: http://www.inderscience.com/link.php?id=145692 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:50:y:2025:i:4:p:353-360 Template-Type: ReDIF-Article 1.0 Author-Name: Khalid Aljohani Author-X-Name-First: Khalid Author-X-Name-Last: Aljohani Title: Improving warehouse operations efficiency in a retailer: a case study employing a systemic approach Abstract: Researchers continuously develop effective approaches to improve warehouse management systems. This study presents an efficient warehouse management framework that aims to improve the warehouse layout planning, smooth the flow of warehouse operations and facilitate the efficiency in accessing and deploying of materials, while at the same time establishing additional safety procedures in retail warehouses. With the help of empirical data collected from a case study company that manufactures perfumes and aromatic products based in Jeddah, Saudi Arabia, a framework for developing and refining an optimal warehouse management system is outlined. The suggested framework was then implemented at the case study company which resulted in a revised warehouse layout plan, a reorganised inventory, and improved material handling operations. The study observed for three months the performance of operations under the revised warehouse layout. The evaluation concluded with a risk assessment to ensure a safe and secure warehouse working environment. Journal: Int. J. of Logistics Systems and Management Pages: 104-132 Issue: 1 Volume: 51 Year: 2025 Keywords: logistics; warehouse management; warehouse layout; material handling; operations improvement. File-URL: http://www.inderscience.com/link.php?id=146059 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:1:p:104-132 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Author-Name: Gabriel Moreno Author-X-Name-First: Gabriel Author-X-Name-Last: Moreno Title: Omnichannel transportation, warehousing and manufacturing quality characteristics in a post-COVID environment: case and empirical study Abstract: The transportation and warehousing industry include industries providing logistical services of passengers and cargo, warehouses for storage, and support activities related to transportation - companies within this industry-use transportation equipment and related facilities as a productive asset. A case study of two Pittsburgh, PA transportation companies and an empirical study of 1,008 respondents from the same service yielded information about the growth of AI, automation and cloud business intelligence to provide quality-added activities, especially for working professionals. In general, although low-cost tactics counter the value-added through high quality, both sexes felt that there is a need for high-quality manufactured goods, but the low cost can be a mitigating factor. Keeping operational and transportation costs low and transferring these savings in lower prices and shipping costs to the consumer are strategic advantages for these companies. Journal: Int. J. of Logistics Systems and Management Pages: 79-103 Issue: 1 Volume: 51 Year: 2025 Keywords: artificial intelligence; AI; business cloud intelligence; case study; empirical study; manufacturing quality; omnichannel; supply chain management; SCM; supply chain management solutions software. File-URL: http://www.inderscience.com/link.php?id=146060 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:1:p:79-103 Template-Type: ReDIF-Article 1.0 Author-Name: Biswarup Chakraborty Author-X-Name-First: Biswarup Author-X-Name-Last: Chakraborty Author-Name: Sujan Mondal Author-X-Name-First: Sujan Author-X-Name-Last: Mondal Author-Name: Ankita Ray Author-X-Name-First: Ankita Author-X-Name-Last: Ray Title: An application of R'DEMATEL approach and sensitivity analysis for identifying significant barriers for horizontal collaboration implementation in logistics Abstract: Implementation of horizontal collaboration (HC) between competing companies will influence environmental and socio-economic objectives of sustainable development in logistics transportation sector. Real application of HC is challenging, and past literature identified significant barriers related to HC implementation and suggested to evaluate the relative importance of the identified barriers and interactions of the barriers by using causal analysis approaches. Therefore, our study addressed this research gap and try to present inter-relationship of the significant barriers of HC implementation in logistics by using rough set theory (closely related to fuzzy set theory and used to determine structural relationship within vague and deafening data) along with decision-making trial and evaluation laboratory (DEMATEL) method. The sensitivity analysis is performed to determine the impact of expert's weight coefficient on the final evaluation result. Outcome of the study helps logistics manager to focusing on to improve inter-organisational environment to adopt this sustainable business strategy. Journal: Int. J. of Logistics Systems and Management Pages: 42-78 Issue: 1 Volume: 51 Year: 2025 Keywords: horizontal collaboration; rough set theory; DEMATEL; sensitivity analysis; decision making. File-URL: http://www.inderscience.com/link.php?id=146061 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:1:p:42-78 Template-Type: ReDIF-Article 1.0 Author-Name: Leila Bourrich Author-X-Name-First: Leila Author-X-Name-Last: Bourrich Author-Name: Saâd Lissane Elhaq Author-X-Name-First: Saâd Lissane Author-X-Name-Last: Elhaq Title: An integrated approach based on classification and forecasting intermittent demand model for urban pick-up: a case study of Moroccan carrier Abstract: Pick-up links play a crucial role in logistics chains. It is the most expensive and polluting part of urban logistics. Management and decision-making must be optimised to improve their performance, and develop urban logistics sustainably. Several factors make its management difficult. Due to that, this process produces intermittent demand series. Our aim in this paper is to improve the pick-up chain by anticipating customers' requests. Based on K-means clustering, the integrated approach proposes two novel estimation models for demand occurrence, followed by a forecasting model derived from benchmarking studies between three methods: SES, Croston, and SBA on a real dataset. Our approach demonstrates the value of the classification model and the outperformance of SBA over other methods. This area has not been researched. Thus, this study contributes to urban logistics durability and freight transportation. Consequently, carriers will be provided with new-and-improved benefits in the future based on this relevant context. Journal: Int. J. of Logistics Systems and Management Pages: 1-41 Issue: 1 Volume: 51 Year: 2025 Keywords: forecasting methods; intermittent demand; K-means clustering; pick-ups' demand-anticipation; freight transportation. File-URL: http://www.inderscience.com/link.php?id=146062 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:1:p:1-41 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Aliei Author-X-Name-First: Maryam Author-X-Name-Last: Aliei Author-Name: Mansoureh Hoorali Author-X-Name-First: Mansoureh Author-X-Name-Last: Hoorali Title: Location of multi-product and multi-resource capacity facilities in green logistics Abstract: The issue of facility location is one of the most important and practical issues in the field of decision-making issues. Reducing costs has always been one of the main goals of these issues. In recent years, with the increase of environmental concerns, attention to the emission of harmful gases and the pollution caused by them has become another effective criterion in locating facilities and allocating customers to them. In this paper, the two-objective problem of locating multi-source and multi-product capacity facilities with simultaneous consideration of financial costs and carbon dioxide emissions is investigated. First, the mathematical model of the problem is presented and then the stable analysis method using Monte Carlo simulation is used to solve the problem. By using this method, the degree of stability for Pareto optimal solutions can be achieved in order to make better decisions for establishing warehouses and allocating customers to them. Finally, the computational results are presented and analysed. Journal: Int. J. of Logistics Systems and Management Pages: 133-149 Issue: 1 Volume: 51 Year: 2025 Keywords: facility location problem; green logistics; multipurpose optimisation; stability analysis; multi-products; multipurpose. File-URL: http://www.inderscience.com/link.php?id=146063 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:1:p:133-149 Template-Type: ReDIF-Article 1.0 Author-Name: Alaa Ghurbal Author-X-Name-First: Alaa Author-X-Name-Last: Ghurbal Author-Name: Rateb J. Sweis Author-X-Name-First: Rateb J. Author-X-Name-Last: Sweis Author-Name: Baraa Allan Author-X-Name-First: Baraa Author-X-Name-Last: Allan Title: The technological-organisational-environmental factors affecting radio frequency identification adoption intention in the Jordanian healthcare sector Abstract: In the healthcare setting, radio frequency identification (RFID) has myriad applications such as tracking medical equipment and hospital assets, identifying and monitoring patients, and enhancing healthcare facilities' management and supply chains. A total of 52 factors based on the technological-organisational-environmental (TOE) framework were identified to be ranked according to importance by respondents. In total, 637 respondents participated from five groups; top managers, middle managers, physicians, pharmacists, and nurses. The findings showed that ' relative advantage', 'top management support', 'governmental support and policies', 'information privacy', 'accuracy of information generated by RFID', 'organisational size', 'cost', 'resistance of employees to change', and 'performance gap of the existing information system' are crucial factors affecting the adoption of RFID in the Jordanian healthcare sector. In this study, we extracted the crucial TOE factors of adoption among the pool of factors; further studies may apply this model of most important factors to other samples to validate the model. Journal: Int. J. of Logistics Systems and Management Pages: 151-183 Issue: 2 Volume: 51 Year: 2025 Keywords: radio frequency identification; RFID adoption; healthcare; Jordan; TOE framework. File-URL: http://www.inderscience.com/link.php?id=146705 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:151-183 Template-Type: ReDIF-Article 1.0 Author-Name: Bright Junior Tanzubil Author-X-Name-First: Bright Junior Author-X-Name-Last: Tanzubil Title: Influence of electronic procurement practices on the supply chain performance of public institutions in Ghana Abstract: This study was conducted to determine the impact of e-procurement practices on the supply chain performance of public institutions within the Upper East Region of Ghana. Five prime e-procurement practices were analysed in relation to supply chain performance. Purposive sampling technique was employed to collect quantitative data from 251 employees of public institutions using a structured five-point Likert scale questionnaire. The findings of the study suggest that e-catalogue, e-invoicing, e-sourcing and e-supplier selection have a positive and significant impact on the supply chain performance of public institutions. The findings of the study further revealed that e-tendering did not have any significant impact on supply chain performance. Hence, the study's findings suggest that public-sector procurement managers can improve the efficiency and effectiveness of their supply chain operations and services by properly implementing e-cataloguing, e-invoicing, e-sourcing, and e-supplier selection technologies. Journal: Int. J. of Logistics Systems and Management Pages: 230-245 Issue: 2 Volume: 51 Year: 2025 Keywords: procurement; e-procurement; supply chain performance; e-catalogue; e-invoicing; e-sourcing; e-supplier selection; e-tendering; public institution; Ghana. File-URL: http://www.inderscience.com/link.php?id=146706 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:230-245 Template-Type: ReDIF-Article 1.0 Author-Name: Rezli Ainur Savira Lubis Author-X-Name-First: Rezli Ainur Savira Author-X-Name-Last: Lubis Author-Name: Yuliani Dwi Lestari Author-X-Name-First: Yuliani Dwi Author-X-Name-Last: Lestari Title: Green vehicles adoption for last-mile delivery: a systematic literature review and current trend Abstract: The final step in the e-commerce supply chain, last-mile delivery, is an innovative approach to urban logistics issues, including lowering carbon emissions through alternative vehicles. This research intends to update and identify green vehicles adoption based on the type of last-mile delivery and the type of commodities transported by a systematic literature review method to enhance the sustainability of urban logistics. The findings show that collaboration between conventional vehicles (fossil fuels) and active transportation (bicycles, walking), public transportation, electric vehicles, drones, and robots is the most widely adopted. From an environmental standpoint, carbon emissions can be significantly reduced with this alternative vehicle when making deliveries. In addition, the result shows that this environmentally friendly vehicle mostly serves general goods delivery to the consumer's location. Meanwhile, crowdshipping is an urban logistics trend that has emerged recently by utilising individuals to make deliveries when traveling in certain areas. Journal: Int. J. of Logistics Systems and Management Pages: 211-229 Issue: 2 Volume: 51 Year: 2025 Keywords: e-commerce; green vehicles; last-mile delivery; urban logistic. File-URL: http://www.inderscience.com/link.php?id=146707 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:211-229 Template-Type: ReDIF-Article 1.0 Author-Name: Huyen Huong Han Author-X-Name-First: Huyen Huong Author-X-Name-Last: Han Author-Name: Thi Thuy Nguyen Author-X-Name-First: Thi Thuy Author-X-Name-Last: Nguyen Author-Name: Thi Duong Nga Nguyen Author-X-Name-First: Thi Duong Nga Author-X-Name-Last: Nguyen Author-Name: Son-Tung Le Author-X-Name-First: Son-Tung Author-X-Name-Last: Le Title: The key drivers and barriers for Vietnamese companies implementing reverse logistics Abstract: Today, the world' s waste creation rates are rising as a result of population increase, urbanisation, and economic growth. Reverse logistics is employed in the collection, recycling, and reuse processes as well as in the reduction of consumables and environmental compatibility in the sustainable management of municipal waste. Although reverse logistics (RL) is regarded as the most important component of supply chain management in developed nations, its adoption in developing countries is still in the early stages. This study aims to identify the key drivers and barriers to companies using reverse logistics in developing countries, especially Vietnam. A total of 287 managers were surveyed in five areas of Vietnam for a research study. The findings indicate that there are three drivers and one barrier for RL practice. Numerous implications for management and practice have been identified by this study. Journal: Int. J. of Logistics Systems and Management Pages: 184-210 Issue: 2 Volume: 51 Year: 2025 Keywords: economic drivers; financial barriers; infrastructure barriers; reverse logistics; sustainability; corporate social responsibility. File-URL: http://www.inderscience.com/link.php?id=146708 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:184-210 Template-Type: ReDIF-Article 1.0 Author-Name: Mrudul Y. Jani Author-X-Name-First: Mrudul Y. Author-X-Name-Last: Jani Author-Name: Manish R. Betheja Author-X-Name-First: Manish R. Author-X-Name-Last: Betheja Author-Name: Urmila Chaudhari Author-X-Name-First: Urmila Author-X-Name-Last: Chaudhari Title: Optimal warranty period for the controllable deteriorating product under trade credit, inflation, and demand-dependent production rate Abstract: In any transaction, the trade credit policy is a regular component of market transactions that raise demand. The accompanying businesses provide a warranty period facility to increase consumer demand for products while a higher price of goods lowers demand and vice versa. This study determines a production model, wherein the production rate is directly proportional to price-warranty period under trade credit policy. This work considers: 1) constant deterioration rate and investment in preservation technology; 2) the rate of replacement failure is a nonlinear function, wherein the capital of the producer depends on the warranty period; 3) the rate of inflation is constant. This study is primarily aimed at calculating the optimum warranty period, investment under preservation, cycle time, and sales price to optimise the manufacturer's net profit. The results are validated by solving three numerical examples and for key parameters a sensitivity analysis is analysed with some important managerial implications. Journal: Int. J. of Logistics Systems and Management Pages: 246-273 Issue: 2 Volume: 51 Year: 2025 Keywords: constant deterioration; inflation; trade credit policy; time-varying holding cost; preservation technology investment; the warranty period. File-URL: http://www.inderscience.com/link.php?id=146709 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:246-273 Template-Type: ReDIF-Article 1.0 Author-Name: Liseane P. Thives Author-X-Name-First: Liseane P. Author-X-Name-Last: Thives Author-Name: Enedir Ghisi Author-X-Name-First: Enedir Author-X-Name-Last: Ghisi Author-Name: Juarez J. Thives Júnior Author-X-Name-First: Juarez J. Thives Author-X-Name-Last: Júnior Title: Current panorama of road cargo transport in Brazil Abstract: Roads represent the primary means of transporting cargo and people in Brazil. However, even considering the importance of roads for the country's economy, only 12.4% of roads in Brazil are paved, and accident rates are high. The main objective of this work is to assess the current panorama of road cargo transport on Brazilian federal roads. The road conditions and the accidents involving trucks were evaluated. Besides, truck driver profiles were traced, and finally, the economic and social aspects were evaluated. The inadequate road network conditions contribute to circulation restrictions, damage of products transported by trucks, and increase the risk of accidents. Improving the quality of Brazilian roads will minimise the socio-environmental impacts of cargo transportation deficiencies. Actions such as investments in new roads and maintenance of the existing ones are needed, but better drivers and new technologies are also required. Journal: Int. J. of Logistics Systems and Management Pages: 274-296 Issue: 2 Volume: 51 Year: 2025 Keywords: truck; Brazil; cargo transport; road network. File-URL: http://www.inderscience.com/link.php?id=146710 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:2:p:274-296 Template-Type: ReDIF-Article 1.0 Author-Name: Hafiz Wasim Akram Author-X-Name-First: Hafiz Wasim Author-X-Name-Last: Akram Title: Identifying challenges plaguing Ethiopia's logistics industry: a structured literature review Abstract: The backbone of a country's trade interactions with the rest of the world is its efficient logistics performance. This paper reviews the literature on Ethiopia's logistics industry to assess its current state, pinpoint its knowledge gaps, and suggest a framework for addressing the issues faced by this industry. This work examines 56 academic articles on the topic of problems facing Ethiopia's logistics industry published in various journals between 2001 and 2022. Research publications were selected from three databases: Scopus, Web of Science, and Dimensions. Besides, pertinent literature from other sources, such as the World Bank, was also incorporated in the study for a better critical analysis. The study has attempted to shed light on the problems being faced by Ethiopia's logistics industry and the resulting repercussions. Based on the comprehensive literature review, the paper has enumerated a few broad challenges, the resolution of which is expected to bring about a positive change in Ethiopia's international trade. Journal: Int. J. of Logistics Systems and Management Pages: 297-313 Issue: 3 Volume: 51 Year: 2025 Keywords: logistics; logistical problems; logistics industry; challenges; Ethiopia. File-URL: http://www.inderscience.com/link.php?id=147538 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:297-313 Template-Type: ReDIF-Article 1.0 Author-Name: Trinh Thi Dao Author-X-Name-First: Trinh Thi Author-X-Name-Last: Dao Author-Name: Lam Canh Nguyen Author-X-Name-First: Lam Canh Author-X-Name-Last: Nguyen Title: The resilience of third-party logistics providers in extreme contexts: an empirical study in COVID-19 Abstract: Based on the resilience theory and a purposive sample of 11 third-party logistics providers, this exploratory research enhances knowledge about the main concerns, major adjustments, key factors to cope with, and the pivotal factors to adapt and develop the resilience of these firms during the COVID-19 pandemic. Four dimensions of these firms' main concerns include: 1) supply chain disruption; 2) finance threats; 3) human concerns; 4) the unknown of the future. The main dimensions that helped these firms cope with the situation consist of financial strength, workforce, and supply chain management. Changes and adjustments include work-based activities, adjustments to compliance, and business strategies. Two dimensions should be developed to adapt and develop in the post-COVID-19 era, including supply chain collaboration and technology innovation. A proposed conceptual framework is then provided, followed by a discussion of its theoretical and practical implications. Journal: Int. J. of Logistics Systems and Management Pages: 376-396 Issue: 3 Volume: 51 Year: 2025 Keywords: third-party logistics provider; 3PL; logistics; COVID-19; resilience; Vietnam. File-URL: http://www.inderscience.com/link.php?id=147539 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:376-396 Template-Type: ReDIF-Article 1.0 Author-Name: Hokey Min Author-X-Name-First: Hokey Author-X-Name-Last: Min Author-Name: K.M. Mahaboob Sheriff Author-X-Name-First: K.M. Mahaboob Author-X-Name-Last: Sheriff Title: Enhancing resilience in the global automotive supply chain: lessons learned from the systematic literature review Abstract: The automobile is the lifeblood of our daily mobility. Its access, however, has been severely limited due to the sudden disruption of the automotive supply chain caused by the draconian COVID-19 control measures and the ongoing Russia-Ukraine war. Since the automotive industry affects other supporting industries such as steel, rubber, battery, and glass, its struggle can bring down the entire worldwide economy. Despite its essential role, today's automotive industry has been hit hard by the continuous disruption of its supply chain due to incoming part shortages. This paper proposes various practical remedies to enhance automotive supply chain resilience by identifying vulnerabilities and mitigating supply chain risks. This paper conducted a systematic literature review (SLR) of academic literature on the automotive supply chain to develop such remedies. Our review revealed that the automaker's lack of collaboration with its supply chain partners and the subsequent inability to tackle organisational and operational risks were major culprits for its vulnerability to supply chain disruptions. We also found that adopting digital technologies such as additive manufacturing, autonomous mobile robots, cloud computing, big data analytics, the internet of things, and blockchain technology would be one of the most effective remedies for supply chain resilience. Journal: Int. J. of Logistics Systems and Management Pages: 339-375 Issue: 3 Volume: 51 Year: 2025 Keywords: supply chain resilience; automotive supply chain; organisational risks; digital technologies; systematic literature review; SLR. File-URL: http://www.inderscience.com/link.php?id=147540 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:339-375 Template-Type: ReDIF-Article 1.0 Author-Name: Iskander Zouaghi Author-X-Name-First: Iskander Author-X-Name-Last: Zouaghi Author-Name: Piera Centobelli Author-X-Name-First: Piera Author-X-Name-Last: Centobelli Author-Name: V. Raja Sreedharan Author-X-Name-First: V. Raja Author-X-Name-Last: Sreedharan Title: Influencing of supply chain management in business: evidence from reference models Abstract: Business dynamics has created many ripples in industries and supply chain management is no exception to this. Different standards and references have become widely coveted management tools in several areas, including that of information and business process systems, logistics, quality and business operations. This is mainly due to the need for companies to have both the same level of understanding and practices, and also the same language thanks to new organisational configurations (network, supply chain). In operations, logistics, and supply chain management, there are many references because of practice and process variability that come from important environmental uncertainty. The main purpose of this paper is to deepen the reflection around these reference models aiming at having a structured and consolidated view. This offers a framework that highlights the influence of operations, logistics, and supply chain management practices in business. Journal: Int. J. of Logistics Systems and Management Pages: 314-338 Issue: 3 Volume: 51 Year: 2025 Keywords: reference model; logistics; operations; supply chain management; word web method. File-URL: http://www.inderscience.com/link.php?id=147541 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:314-338 Template-Type: ReDIF-Article 1.0 Author-Name: Ilija Stojanović Author-X-Name-First: Ilija Author-X-Name-Last: Stojanović Title: COVID-19 supply chain disruption and effects on project deliverables Abstract: COVID-19 pandemic has created unprecedented disruption in project deliveries. This study aims to understand whether suppliers' distance and location significantly affected project delivery delays and rising costs during the COVID-19 pandemic. To understand whether the distance and location of suppliers have significantly affected delays in project delivery and rising costs, an independent t-test and ANOVA were used for assessing the differences in delays and rising costs between project organisations that have suppliers with different distances. Based on our study, it has been found that the location of suppliers had no significant effects on delays and rising costs of projects. Journal: Int. J. of Logistics Systems and Management Pages: 397-419 Issue: 3 Volume: 51 Year: 2025 Keywords: COVID-19 pandemic; disruption of supply chains; project deliverables; project delays; project costs. File-URL: http://www.inderscience.com/link.php?id=147543 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:397-419 Template-Type: ReDIF-Article 1.0 Author-Name: Sarah Maria Straub Author-X-Name-First: Sarah Maria Author-X-Name-Last: Straub Author-Name: Caroline Ruiner Author-X-Name-First: Caroline Author-X-Name-Last: Ruiner Title: For better or for worse? How the use of digital technologies affects truck drivers' well-being Abstract: The use of digital technologies evokes a controversial debate about their impact on workplace characteristics in terms of the perceived benefits and risks for driving professions. We examine how the use of digital technologies affects truck drivers' well-being by looking at workplace characteristics and their interrelation. We use a mixed-methods approach consisting of qualitative interviews and a written survey of truck drivers in Germany. Empirical findings reveal a generally positive association between the use of digital technologies and workplace characteristics, as drivers perceive that highly automated systems enhance their well-being by reducing strain and fostering safety. However, potential risks, such as the threat of losing attention and decision-making authority, were also identified. These findings contribute to understanding the effects of digital technologies on truck drivers' workplace characteristics. Additionally, we highlight the role of drivers' attitudes towards digitalisation and show how these determine the perception of benefits versus risks. Journal: Int. J. of Logistics Systems and Management Pages: 420-449 Issue: 3 Volume: 51 Year: 2025 Keywords: digital technologies; automation in logistics; driver well-being; human-computer-interaction; HCI; workplace characteristics; mixed method; qualitative research; quantitative research. File-URL: http://www.inderscience.com/link.php?id=147556 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:3:p:420-449 Template-Type: ReDIF-Article 1.0 Author-Name: Tine Meidahl Münsberg Author-X-Name-First: Tine Meidahl Author-X-Name-Last: Münsberg Author-Name: Erika Marie Strøm Author-X-Name-First: Erika Marie Author-X-Name-Last: Strøm Author-Name: Lars Hvam Author-X-Name-First: Lars Author-X-Name-Last: Hvam Author-Name: Anders Haug Author-X-Name-First: Anders Author-X-Name-Last: Haug Author-Name: George Huang Author-X-Name-First: George Author-X-Name-Last: Huang Title: Logistics service system: review, case study, and framework Abstract: More and more companies are outsourcing their logistics services to logistics service providers (LSPs). Many such companies request customised solutions, which can be highly resource-demanding for an LSP to accommodate. To minimise such costs, LSPs could apply a systematic approach to define and optimise their services, namely, a logistics service system (LSS) framework. The literature on this topic is, however, sparse. This study uses existing studies to describe different LSS-related research areas, which are used to conduct a case study of a large LSP firm resulting in an LSS framework. The LSS framework highlights the connections between the different aspects of an LSS. It adds a logistics service platform and logistics service management, allowing an organisation to operate efficiently. It contributes to the field of logistics services by offering a practical framework to facilitate the implementation of an LSS to improve the competitive advantage of an LSP. Journal: Int. J. of Logistics Systems and Management Pages: 1-27 Issue: 5 Volume: 55 Year: 2025 Keywords: logistics service providers; LSPs; logistics service framework; digitalisation; supply chain management; logistics service system; LSS. File-URL: http://www.inderscience.com/link.php?id=147743 File-Format: text/html File-Restriction: Open Access Handle: RePEc:ids:ijlsma:v:55:y:2025:i:5:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Polina Görbe Author-X-Name-First: Polina Author-X-Name-Last: Görbe Author-Name: Tamás Bódis Author-X-Name-First: Tamás Author-X-Name-Last: Bódis Author-Name: Péter Földesi Author-X-Name-First: Péter Author-X-Name-Last: Földesi Title: Trade-offs in warehousing storage location reassignment Abstract: In the low-level picker-to-parts warehouses the order picking is the most time- and cost consuming process. The performance indicator for order picking is lead time. The system can be considered efficient if these lead times can be kept low, but this is heavily influenced by the storage location assignment in the warehouse, the routing, and the warehouse layout. The objective of this research is to investigate in what cases and to what extent reassignment and repositioning tasks following efficiency deterioration as well as seek answers to how to minimise these costly tasks and maintain a near-ideal storage location assignment. To solve this problem, an intelligent system concept is presented, which aims to support the warehouse operator in making replenishment decisions, which picking storage to replenish based on the current rotation of item, and which products to repositioning, while maintaining a near ideal storage location assignment. The aim of this paper is to highlight the potential decision points and circumstances, when adaptive storage location reassignment would be necessary and how this concept can help everyday warehouse logistics. Journal: Int. J. of Logistics Systems and Management Pages: 524-538 Issue: 4 Volume: 51 Year: 2025 Keywords: warehouse; repositioning; storage-location-assignment; efficiency. File-URL: http://www.inderscience.com/link.php?id=148067 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:524-538 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 Title: Evaluating additive manufacturing success factors for the aviation industry: an interpretive structural modelling approach Abstract: This study explored the factors that might affect the emerging additive manufacturing (AM) industry, specifically the aviation industry. Additive manufacturing involves the creation of parts using a layer-by-layer printing process to build a part. Historically, AM has been used for prototyping; however, recently, technology has evolved into full-scale production. However, there are issues that hamper the widespread production of aviation parts. Using interpretive structural modelling (ISM) methodology, this study explored the mutual influences and consequences among different AM attributes that affect the wide-scale use of technology. The study found that the most important benefit of AM is weight reduction, with intellectual property rights being the least important. This study contributes to the literature on AM, specifically for the aviation industry, and outlines the most important attributes that management and regulators should focus on to advance this emerging technology. Journal: Int. J. of Logistics Systems and Management Pages: 501-523 Issue: 4 Volume: 51 Year: 2025 Keywords: additive manufacturing; interpretive structural modelling; ISM; operations; production. File-URL: http://www.inderscience.com/link.php?id=148068 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:501-523 Template-Type: ReDIF-Article 1.0 Author-Name: Paulo Sergio Altman Ferreira Author-X-Name-First: Paulo Sergio Altman Author-X-Name-Last: Ferreira Title: A value co-creation and relational-based view for financial metrics in third-party logistics Abstract: This paper proposes and explains financial measures and value co-creation analytics for logistics costs and relationship performance. The fundamental approach refers to the view of logistics services as value co-creation drivers. The main argument is that measuring value co-creation accomplishments of 3PL could enable developing relational-based financial metrics. In turn, these indicators would represent an additional view for measuring financial performance across the entire supply chain. This proposed framework was developed through applying deductive logic to blend the value co-creation perspective of logistics services and relationship development. Systematic measurement of logistics value requires a description of the financial impact of the co-creation perspective of the service. Relational costs and revenues in a perspective of value co-creation is a novel approach for 3PL to manage its performance within the entire supply chain. The outcome is a proposition to capture how value-co creation can be quantified in financial terms in logistics services. Journal: Int. J. of Logistics Systems and Management Pages: 539-555 Issue: 4 Volume: 51 Year: 2025 Keywords: value co-creation; 3PL; relational-based logistics; logistics services; financial metrics framework. File-URL: http://www.inderscience.com/link.php?id=148069 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:539-555 Template-Type: ReDIF-Article 1.0 Author-Name: Sheetal Soda Author-X-Name-First: Sheetal Author-X-Name-Last: Soda Author-Name: Lakhwinder Pal Singh Author-X-Name-First: Lakhwinder Pal Author-X-Name-Last: Singh Title: Status of green supply chain management in power companies Abstract: Industrial activities of humans have begun to have an unfavourable effect on the environment, which may become self-destructive for the former as a result of increased industrialisation and ever-growing consumerism. Due to greenhouse gas emissions from the combustion of fossil fuels, the power sector has been named one of the world's most polluting industries. The electricity sector is a natural fit for green supply chain management (GSCM), which has the ability to reduce pollution while also benefiting businesses financially. This article aims to examine the degree to which state-owned power companies (SOPCs) in Punjab have adopted and implemented GSCM methods. Journal: Int. J. of Logistics Systems and Management Pages: 486-500 Issue: 4 Volume: 51 Year: 2025 Keywords: green supply chain management; GSCM; power companies. File-URL: http://www.inderscience.com/link.php?id=148070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:486-500 Template-Type: ReDIF-Article 1.0 Author-Name: Suchera Putthakosa Author-X-Name-First: Suchera Author-X-Name-Last: Putthakosa Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: Evaluating resilience in supply chain under disruptions - a renewal approach Abstract: Disruptions in supply chains are common all around the world. Hence, the effect of disruption on the supply chain must be analysed to assist enterprises in responding to the interruptions. The disruptions expose vulnerable spots in supply chain networks, resulting in delayed recovery. Therefore, improving supply chain resilience becomes an important issue. In this research, a renewal approach will be used to investigate resilience measures. The proposed approach helps determine the system's sustainability, vulnerability, and recoverability for a supplier who may encounter unforeseen events. Those resilience measures will be determined through the long-run proportions of time the system is in various states. Sensitivity analyses are also conducted to examine the influence of each system parameter on the resilience measures. Journal: Int. J. of Logistics Systems and Management Pages: 451-485 Issue: 4 Volume: 51 Year: 2025 Keywords: supply chain resilience; renewal theory; supply chain network; disruption; supply chain management. File-URL: http://www.inderscience.com/link.php?id=148071 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:451-485 Template-Type: ReDIF-Article 1.0 Author-Name: Boutaina Hajjar Author-X-Name-First: Boutaina Author-X-Name-Last: Hajjar Author-Name: Omar Drissi Kaitouni Author-X-Name-First: Omar Drissi Author-X-Name-Last: Kaitouni Title: The application of the ARIMA model for time series air freight forecasting Abstract: In recent years, air freight has attracted vigorous attention among scholars due to its continuous growth and importance in decision making. Developing an accurate forecast for the air cargo market is essential for empowering planning processes and providing guidance for the air cargo industry's key stakeholders. Nevertheless, only a few research papers have been developed to tackle this topic. Hence, this study is devoted to applying the automated algorithm from the autoregressive integrated moving average (ARIMA) modelling to predict time series data of air cargo outbound in eight geographical regions. The experimental findings show good performance of the selected models to be used for accurate predictions. The goodness of fit of the candidates' models is assessed based on different statistical key indicators. The results provide a useful prediction basis for the air cargo market and emphasise the future performance of air freight over the next years. Journal: Int. J. of Logistics Systems and Management Pages: 556-575 Issue: 4 Volume: 51 Year: 2025 Keywords: air freight; forecasting; ARIMA model; time series. File-URL: http://www.inderscience.com/link.php?id=148072 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:556-575 Template-Type: ReDIF-Article 1.0 Author-Name: Eleni Zampou Author-X-Name-First: Eleni Author-X-Name-Last: Zampou Author-Name: Eleftherios Manousakis Author-X-Name-First: Eleftherios Author-X-Name-Last: Manousakis Author-Name: Maria Argyropoulou Author-X-Name-First: Maria Author-X-Name-Last: Argyropoulou Author-Name: Dimitris Zissis Author-X-Name-First: Dimitris Author-X-Name-Last: Zissis Title: Exploring horizontal collaboration in home delivery operations: a case of Greek grocery retailers Abstract: The emergence of online retail channels has reshaped the grocery market rendering home delivery a costly and barely sustainable process. Most grocery retailers fulfil home delivery with proprietary fleets. However, the associated expenses led many retailers to rethink their business model and consider synergies with competitors to implement a sustainable home delivery model. To that end, we propose a horizontal collaborative home delivery model as an operational alternative to reduce distribution costs and improve logistics efficiency. The proposed model is assessed in cooperation with two major Greek grocery retailers. Different operating scenarios using actual home delivery data are tested to evaluate the impact of collaboration and explore if better services, such as shorter time windows, are possible through collaboration. Our results indicate that, on average horizontal collaborative home delivery decreases the number of required routes and travelling time by 5.3% and 10.6%, respectively. Journal: Int. J. of Logistics Systems and Management Pages: 576-598 Issue: 4 Volume: 51 Year: 2025 Keywords: online grocery; last-mile; home delivery; horizontal collaboration. File-URL: http://www.inderscience.com/link.php?id=148073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:51:y:2025:i:4:p:576-598 Template-Type: ReDIF-Article 1.0 Author-Name: Denais Maya-Contreras Author-X-Name-First: Denais Author-X-Name-Last: Maya-Contreras Author-Name: Rodrigo Linfati Author-X-Name-First: Rodrigo Author-X-Name-Last: Linfati Author-Name: John Willmer Escobar Author-X-Name-First: John Willmer Author-X-Name-Last: Escobar Title: A new methodology for generating personalised routes for logistics in music festivals by considering time windows Abstract: This paper considers the problem of generating personalised routes for people attending music festivals considering time windows. The objective is to maximise the attendees' satisfaction by considering elements such as the desire to see some artists of a festival program, the time windows, and the distance between each stage. The proposed mathematical model determines which artists an attendee should see among the many options a music festival offer. The more satisfied an attendee is, the more readily they will return to the events, improving logistics in musical events. The proposed formulation is based on the well-known orienteering problem with time windows (OPTW). Instances (attendees' preferences) are generated from a specific day of Lollapalooza Chile (2019), a festival with seven stages and 120 artists distributed over three days to test the efficiency of the proposed methodology. The results are prominent considering the diverse type of attendees. Journal: Int. J. of Logistics Systems and Management Pages: 83-113 Issue: 1 Volume: 52 Year: 2025 Keywords: music festival; logistic; combinatorial optimisation; scheduling; routing problems; time windows. File-URL: http://www.inderscience.com/link.php?id=149187 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:83-113 Template-Type: ReDIF-Article 1.0 Author-Name: Beste Desticioglu Tasdemir Author-X-Name-First: Beste Desticioglu Author-X-Name-Last: Tasdemir Author-Name: Ahmed Ihsan Simsek Author-X-Name-First: Ahmed Ihsan Author-X-Name-Last: Simsek Author-Name: Erdinç Koç Author-X-Name-First: Erdinç Author-X-Name-Last: Koç Title: Location-inventory-routing model for vaccine distribution problem with heterogeneous fleet Abstract: In this study, the vaccine distribution problem of the health directorate of the province of Elazig in Turkey was examined. The study's model was developed under the presumption that the province of Elazig's vaccine distribution fleet is heterogeneous. Vaccines were delivered to all demand points from both warehouses by vehicles with different capacities. A mathematical model is proposed that aims to minimise the distance travelled. Considering the characteristics of the vehicles used in the distribution, speed and working hour's constraints were added to the model. The proposed mathematical model for the distance constrained heterogeneous fleet vehicle routing problem has been implemented as two different central distribution centres. There is only one kilometre difference between the total distance travelled by the vehicles delivering vaccines from Fethi Sekin State Hospital and the provincial health directorate. However, vaccine distribution activities can be carried out with two vehicles from the provincial health directorate and one vehicle from Fethi Sekin State Hospital. According to the results obtained, it can be stated that Fethi Sekin State Hospital is the appropriate point for storage. Journal: Int. J. of Logistics Systems and Management Pages: 114-129 Issue: 1 Volume: 52 Year: 2025 Keywords: inventory-routing; mathematical model; routing problem; vaccine distribution. File-URL: http://www.inderscience.com/link.php?id=149188 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:114-129 Template-Type: ReDIF-Article 1.0 Author-Name: Sana Elhidaoui Author-X-Name-First: Sana Author-X-Name-Last: Elhidaoui Author-Name: Khalid Benhida Author-X-Name-First: Khalid Author-X-Name-Last: Benhida Author-Name: Srinivas Kota Author-X-Name-First: Srinivas Author-X-Name-Last: Kota Author-Name: Ahmed Lamalem Author-X-Name-First: Ahmed Author-X-Name-Last: Lamalem Author-Name: Said Elfezazi Author-X-Name-First: Said Author-X-Name-Last: Elfezazi Author-Name: Ismail Dribi Alaloui Author-X-Name-First: Ismail Dribi Author-X-Name-Last: Alaloui Title: Digitalisation in modelling: general framework on how Industry 4.0 will change the green supply chain model Abstract: The understanding of the impact of the Industry 4.0 (I4.0) on the supply chain (SC) has entered the spotlight. Indeed, several studies were conducted to analyse this relationship whether to demonstrate the gains of this technology on the SC, or to argue against the drawbacks of its adoption in the SC. In fact, the environmental dimension has further complicated the research in this matter. Therefore, the purpose of this research is to study the integration of the I4.0 in the green supply chain (GSC) modelling. Two methods are selected to deal with this objective, namely SWOT and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), using VISUAL PROMETHEE software. This study identifies the relevant alternatives that allow dealing with the threats and weaknesses, for the strengthening of the GSC modelling, and the best opportunities for the integration of I4.0. This research provides a general framework that would help researchers and practitioners in the future to address GSC modelling and the I4.0. Journal: Int. J. of Logistics Systems and Management Pages: 28-59 Issue: 1 Volume: 52 Year: 2025 Keywords: supply chain; Industry 4.0; green; modelling; SWOT; PROMETHEE II. File-URL: http://www.inderscience.com/link.php?id=149189 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:28-59 Template-Type: ReDIF-Article 1.0 Author-Name: Mst. Anjuman Ara Author-X-Name-First: Mst. Anjuman Author-X-Name-Last: Ara Author-Name: Ferdous Sarwar Author-X-Name-First: Ferdous Author-X-Name-Last: Sarwar Author-Name: Md. Tanvir Ahmed Author-X-Name-First: Md. Tanvir Author-X-Name-Last: Ahmed Title: A hybrid genetic algorithm for simultaneous delivery and pickup vehicle routing problem with time window in green perspective Abstract: The problem of vehicle routing problem with simultaneous pickup and delivery with time window (VRPSPDTW) integrates forward and reverse logistics for optimising cost with environmental consideration. The goal is to get the best routes that represent the least transportation cost for vehicles occupied by the route. The overall costs include fixed cost, variable cost, penalties for being late, fuel cost from optimising fuel usage, and cost associated with carbon emission which reduces energy consumption and pollutant emissions in the environment. This research develops a mathematical model for VRPSDPTW by using the travelling distance and the load of the vehicle for cost optimisation. A hybrid genetic algorithm is developed to measure the performance of VRPSPDTW problem as well as genetic algorithm. The comparison shows that the hybrid genetic algorithm performs better than genetic algorithm in terms of the total cost of a vehicle. Journal: Int. J. of Logistics Systems and Management Pages: 130-148 Issue: 1 Volume: 52 Year: 2025 Keywords: vehicle routing problem; VRP; genetic algorithm; hybrid genetic algorithm; HGA; sweep algorithm; iterated swap procedure; ISP. File-URL: http://www.inderscience.com/link.php?id=149190 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:130-148 Template-Type: ReDIF-Article 1.0 Author-Name: Lam Canh Nguyen Author-X-Name-First: Lam Canh Author-X-Name-Last: Nguyen Author-Name: Van Anh Nguyen Author-X-Name-First: Van Anh Author-X-Name-Last: Nguyen Title: Greening livestock supply chains: a conceptual framework from an empirical study in Vietnam Abstract: This paper aims to examine and conceptualise the greening practices of livestock supply chains. Based on a qualitative approach over a purposive sample in Vietnam, we explore the current green supply chain practices in the livestock industry and provide an understanding of the challenges companies face. Subsequently, data is analysed using qualitative content analysis before an integrated framework is proposed to conceptualise and provide guidelines for companies in the livestock industry when considering adopting green practices. The framework is developed from both supply chain and organisational approaches. The former includes all stages in the livestock supply chains from sourcing to consumption, while the latter highlights three critical prerequisites for successful implementation: resource recovery, efficiency improvement, and environmental handling. Implications for managers and policymakers are presented accordingly to provide suggestions on the focused area for improvements. Journal: Int. J. of Logistics Systems and Management Pages: 60-82 Issue: 1 Volume: 52 Year: 2025 Keywords: livestock; green supply chain management; Vietnam; qualitative; animal-based product; supply chain; green supply chain management; GSCM; empirical; interview; content analysis. File-URL: http://www.inderscience.com/link.php?id=149191 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:60-82 Template-Type: ReDIF-Article 1.0 Author-Name: Patricia Jacomini Froio Author-X-Name-First: Patricia Jacomini Author-X-Name-Last: Froio Author-Name: Barbara Stolte Bezerra Author-X-Name-First: Barbara Stolte Author-X-Name-Last: Bezerra Author-Name: Diego Delmonico Author-X-Name-First: Diego Author-X-Name-Last: Delmonico Author-Name: Claudio Barbieri da Cunha Author-X-Name-First: Claudio Barbieri da Author-X-Name-Last: Cunha Title: Uncovering environmentally sustainable initiatives of logistic service providers: an empirical analysis in Brazil Abstract: This study analysed the main factors of environmental initiatives in large and medium-sized Logistics service providers operating in Brazil. An exploratory survey was conducted with a framework with seven distinct green initiatives from the logistics service providers (LSP). A questionnaire was sent to Brazilian LSP companies and data were analysed using descriptive, bivariate, multivariate, and factor analysis techniques. The 15 factors identified underlie the relationships between the 55 measured variables. Latent relationships between the variables promotes a direction for theoretical studies on the theme, and a new perspective on sustainable logistics. Thus, this paper presents an overview of green initiatives practiced by LSPs in Brazil. This case study identifies the main factors for environmental initiatives for the LSP sector in the country and outlines implications for theory, practice and policy. The study also point out the role of top managers and clients for the success of environmental initiatives adoption. Journal: Int. J. of Logistics Systems and Management Pages: 1-27 Issue: 1 Volume: 52 Year: 2025 Keywords: sustainable development; third-party logistics; green logistics; green practices; circular economy; Brazil. File-URL: http://www.inderscience.com/link.php?id=149197 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Adedugba Adebayo Author-X-Name-First: Adedugba Author-X-Name-Last: Adebayo Author-Name: Akinrinola Olalekan Author-X-Name-First: Akinrinola Author-X-Name-Last: Olalekan Author-Name: Inegbedion Daniel Author-X-Name-First: Inegbedion Author-X-Name-Last: Daniel Title: Just in time inventory model and flexibility outcome: determinant of production procedure in textile firms in Lagos State Abstract: The study introduces the after-effects of an empirical examination and schematic model. It looks at the relationship between just in time inventory model and flexibility outcome in textile firms. Linear regression was utilised by the means of partial least square (PLS) to investigate the information gathered from 12 textile firms in Lagos State. The examination outcome affirms the effect of just in time inventory model on flexibility outcome in the context of deterministic production procedure. In addition, this study further demonstrates that the paradigm of just in time inventory model catalyses flexibility outcome to maximise productivity. Therefore, the study proposes that flexibility can be optimised utilising the just-in-time (JIT) inventory model as a platform to improve output. Journal: Int. J. of Logistics Systems and Management Pages: 149-163 Issue: 2 Volume: 52 Year: 2025 Keywords: textile firms; model; productivity; flexibility outcome; just in time inventory model; optimise. File-URL: http://www.inderscience.com/link.php?id=149648 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:149-163 Template-Type: ReDIF-Article 1.0 Author-Name: Sidharath Joshi Author-X-Name-First: Sidharath Author-X-Name-Last: Joshi Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: A mathematical model for a capacity reservation contract with backup sourcing Abstract: The recent upsurge in disruptive events globally has emphasised the importance of resilience in supply chain management. In the current complex global environment, the need of strategic sourcing, fostering long-term relationships, implementing risk-sharing mechanisms, and ensuring mutually beneficial outcomes for all members of supply chain networks have gained significant attention. In this paper, we propose a capacity reservation contract for a supply chain network consisting of a retailer, a main supplier, and a backup supplier. This dual sourcing model serves as a reactive resilience strategy that balances the trade-off between flexibility and redundancy. The proposed model makes a valuable contribution to academic literature by providing unique optimal solutions for the reservation capacities of the retailer and the constructed capacities of the suppliers. Additionally, sensitivity analysis has been conducted to examine the robustness of the model and assess the impact of contract input parameters on the decision variables. Journal: Int. J. of Logistics Systems and Management Pages: 195-217 Issue: 2 Volume: 52 Year: 2025 Keywords: supply chain management; supply chain resilience; supply disruption; backup sourcing; supply chain contracts; capacity reservation contracts; mathematical modelling. File-URL: http://www.inderscience.com/link.php?id=149649 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:195-217 Template-Type: ReDIF-Article 1.0 Author-Name: Wenzhou Wang Author-X-Name-First: Wenzhou Author-X-Name-Last: Wang Author-Name: Junmin Yi Author-X-Name-First: Junmin Author-X-Name-Last: Yi Title: Two omni-channel fresh food retailers from a supply chain perspective Abstract: Today, the advent of digital channels has changed the face of the retail business. This paper examines two omni-channel retail pioneers in China's fresh food business: Hema Xiansheng and super species. Their supply chains are analysed under two models of hierarchies: strategically, there is an integration of channels, resources, service strategy, stores, and locations; tactically and operationally, the main focus is on their layout, warehousing, distribution, pickup, delivery, and technology. Their performance is compared and discussed, and the shortcomings are also identified. Finally, the future of these omni-channel innovations is predicted with a discussion of some findings and suggestions. Journal: Int. J. of Logistics Systems and Management Pages: 164-175 Issue: 2 Volume: 52 Year: 2025 Keywords: omni-channel; supply chain; fresh food; retail. File-URL: http://www.inderscience.com/link.php?id=149650 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:164-175 Template-Type: ReDIF-Article 1.0 Author-Name: Noorsiah Ahmad Author-X-Name-First: Noorsiah Author-X-Name-Last: Ahmad Author-Name: Nur Aqilah Zainordin Author-X-Name-First: Nur Aqilah Author-X-Name-Last: Zainordin Author-Name: Nor Aziyatul Izni Author-X-Name-First: Nor Aziyatul Author-X-Name-Last: Izni Author-Name: Lee Kah Mun Author-X-Name-First: Lee Kah Author-X-Name-Last: Mun Author-Name: Chong Kar Weng Author-X-Name-First: Chong Kar Author-X-Name-Last: Weng Title: The factors that influence the use of NFC mobile payment for public transport in Malaysia Abstract: This study assesses the intention to use near-field communication (NFC) mobile payments on public transportation in Klang Valley, Malaysia. This study is to determine the public's awareness and attitude towards the intention to use NFC mobile payment on public transportation in Kuala Lumpur, Malaysia. The methods of data collection are mainly through online questionnaires that have been distributed to the public that is currently living in Kuala Lumpur, of which a total of 333 respondents have been successfully collected. Once the data has been collected, SPSS software is utilised for the data analysis. The results showed that awareness and attitude significantly had relationships towards the intention to use NFC mobile payment on public transportation in Kuala Lumpur. Journal: Int. J. of Logistics Systems and Management Pages: 250-262 Issue: 2 Volume: 52 Year: 2025 Keywords: mobile payment; near-field communication; NFC; public transportation; logistic; awareness; Malaysia. File-URL: http://www.inderscience.com/link.php?id=149651 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:250-262 Template-Type: ReDIF-Article 1.0 Author-Name: Yulita Veranda Usman Author-X-Name-First: Yulita Veranda Author-X-Name-Last: Usman Author-Name: Anas Miftah Fauzi Author-X-Name-First: Anas Miftah Author-X-Name-Last: Fauzi Author-Name: Taufik Djatna Author-X-Name-First: Taufik Author-X-Name-Last: Djatna Author-Name: Tun Tedja Irawadi Author-X-Name-First: Tun Tedja Author-X-Name-Last: Irawadi Title: The classification model of reverse logistics for halal chicken meat Abstract: The study aims to propose the business process model (BPM) and the classification rules to recapture more halal value from returned halal chicken meat (HCM) for deciding the appropriate product recovery of returned halal chicken meat. The actors involved in reverse logistics activities of halal chicken meat are quality assurance staff, cold storage staff, collection centre staff, management of the slaughtering company, the truck driver of the logistics service provider (transporter), and the customer. The ranking of the class product recovery of returned halal chicken meat obtained consecutively are feed products (56.7%), disposal (33.4%), halal food products (8.8%) and repacking (1.1%). The three quality attributes of halal chicken meat that most affect the decision of product recovery option are odour (putrid), handling of halal product, and visual (physical) appearance. The decision tree generates 11 classification rules to support management in deciding the best product recovery of returned halal chicken meat. Journal: Int. J. of Logistics Systems and Management Pages: 176-194 Issue: 2 Volume: 52 Year: 2025 Keywords: reverse logistics; product recovery; business process modelling and notation; BPMN; classification model. File-URL: http://www.inderscience.com/link.php?id=149652 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:176-194 Template-Type: ReDIF-Article 1.0 Author-Name: Tieu Trong Minh Luan Author-X-Name-First: Tieu Trong Minh Author-X-Name-Last: Luan Author-Name: Truong Tran Mai Anh Author-X-Name-First: Truong Tran Mai Author-X-Name-Last: Anh Author-Name: Nguyen Van Hop Author-X-Name-First: Nguyen Van Author-X-Name-Last: Hop Title: Loading and multi-trip routing problem using hierarchical ant colony optimisation algorithm Abstract: In this paper, we formulate the loading and routing problem as a new mixed-integer programming model with multi-trip routing and loading constraints. The objective is to minimise the total costs of delivery and outbound cross-docking operations and delivery. We also modify an ant colony optimisation algorithm to a so-called four-level ant colony optimisation heuristics (FLACO) to search for the best loading and routing solution in hierarchical levels of trips, trucks, periods, and routes. At each level, the ACO parameters are updated iteratively to process the problem constraints. The case of a large dairy company in Vietnam is used to validate the proposed model and FLACO. The FLACO could give as close as about 2.46% to the optimal solution and outperform the genetic algorithm for small-sized and large-sized problems, respectively. Journal: Int. J. of Logistics Systems and Management Pages: 263-286 Issue: 2 Volume: 52 Year: 2025 Keywords: loading; vehicle routing problem; ant colony optimisation; ACO. File-URL: http://www.inderscience.com/link.php?id=149653 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:263-286 Template-Type: ReDIF-Article 1.0 Author-Name: Jitendra Singh Author-X-Name-First: Jitendra Author-X-Name-Last: Singh Author-Name: Chandra K. Jaggi Author-X-Name-First: Chandra K. Author-X-Name-Last: Jaggi Author-Name: K.M. Kamna Author-X-Name-First: K.M. Author-X-Name-Last: Kamna Title: A model for relief supply chain optimisation in a multi-product distribution environment Abstract: The study investigates a multi-product inventory relief chain where an intermediate distribution centre gets supplies from a collecting centre and caters to the demands of relief centres to emphasise the importance of the relief supply chain in disasters. The relief centres are formed to distribute relief products to affected people in the affected areas. The inventory relief chain system is suggested to provide relief products to affected people at the lowest possible cost. The model optimises the selection of intermediate distribution and relief centres with minimal distribution costs. However, in disaster conditions, every relief centre must receive its requirements. A numerical experiment has been carried out to validate the relevance of the model. A sensitivity analysis of the optimal solution for different parameters is performed to determine how resistant the parameters are to the objective function. The approach supports relief communities in fine-tuning emergency response procedures. Journal: Int. J. of Logistics Systems and Management Pages: 218-249 Issue: 2 Volume: 52 Year: 2025 Keywords: relief chain; inventory control; distribution; optimisation; nonlinear programming; humanitarian operation. File-URL: http://www.inderscience.com/link.php?id=149660 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:2:p:218-249 Template-Type: ReDIF-Article 1.0 Author-Name: Yu-Ching Chiao Author-X-Name-First: Yu-Ching Author-X-Name-Last: Chiao Author-Name: Keng-Hsiang Cheng Author-X-Name-First: Keng-Hsiang Author-X-Name-Last: Cheng Author-Name: Ville Isoherranen Author-X-Name-First: Ville Author-X-Name-Last: Isoherranen Author-Name: Tzong-Ru Lee Author-X-Name-First: Tzong-Ru Author-X-Name-Last: Lee Author-Name: Nirote Sinnarong Author-X-Name-First: Nirote Author-X-Name-Last: Sinnarong Author-Name: Yi-Hsiang Huang Author-X-Name-First: Yi-Hsiang Author-X-Name-Last: Huang Title: Safeguarding subcontractors in a co-opetitive outsourcing context: the competitive dynamics perspective Abstract: The purpose of this study was to examine the co-opetitive relationship between a focal firm and its subcontractors. We used the new developing concept of safeguarding tension to understand the antecedent and consequence relationship of the focal firm, while its subcontractors presented somehow competitive threats. Using the awareness-motivation-capability (AMC) perspective, an integrated research model was developed. With the fine-grained measures in terms of previous literature and case interviews, this study gathered 101 outsourcing samples of 17 focal firms to test the proposed hypotheses by the hierarchical regression. The evidence shows that if a subcontractor has higher levels of organisational characteristics, competitive motivations, and absorptive capabilities, it will cause the focal firm's safeguarding tension to increase. Furthermore, when a focal firm perceives higher safeguarding tension, it will exhibit higher levels of safeguarding aggressiveness. The results of this research explain safeguarding tension and its related concepts, as well as filling in gaps in the co-opetition and subcontractor management literature. It also provides a direction for how to best manage the relationship with subcontractors. Journal: Int. J. of Logistics Systems and Management Pages: 287-307 Issue: 3 Volume: 52 Year: 2025 Keywords: subcontractor management; safeguarding tension; safeguarding aggressiveness; competitive dynamics; awareness-motivation-capability perspective. File-URL: http://www.inderscience.com/link.php?id=149880 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:287-307 Template-Type: ReDIF-Article 1.0 Author-Name: Ali Osman Kuşakcı Author-X-Name-First: Ali Osman Author-X-Name-Last: Kuşakcı Author-Name: Mahat Ibrahim Author-X-Name-First: Mahat Author-X-Name-Last: Ibrahim Author-Name: Baboucarr Mbowe Author-X-Name-First: Baboucarr Author-X-Name-Last: Mbowe Author-Name: Berk Ayvaz Author-X-Name-First: Berk Author-X-Name-Last: Ayvaz Author-Name: Erdem Ağbaş Author-X-Name-First: Erdem Author-X-Name-Last: Ağbaş Title: Aircraft cargo loading planning: a systematic literature review Abstract: Air cargo has become one of the most important means of transportation. This importance is currently being reinforced by the outbreak of the COVID-19 pandemic, which has dried passenger traffic to historic low levels. As a result, airline companies have turned on air cargo as the lifeblood to keep their operations running. However, the process of loading cargo on cargo aircraft is a complex task carried out by experts called loadmasters. It requires hands-on experience because the correct loading affects the balance and fuel performance of the aircraft. The problem in the literature is referred to as the air cargo load planning (ACLP) problem. In this research, we employed a systematic literature review framework that clusters the existing relevant literature into their respective solution approaches and presents a more transparent idea about the state of the current literature, the gaps, and the shortfalls of various solution methodologies. Journal: Int. J. of Logistics Systems and Management Pages: 365-386 Issue: 3 Volume: 52 Year: 2025 Keywords: air cargo load planning; ACLP; heuristics; integer programming; load and balance problem; palletising. File-URL: http://www.inderscience.com/link.php?id=149881 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:365-386 Template-Type: ReDIF-Article 1.0 Author-Name: Reza Eslamipoor Author-X-Name-First: Reza Author-X-Name-Last: Eslamipoor Title: An integrated approach for three-layer location-allocation in a green supply chain Abstract: Controlling greenhouse gas emissions across the supply chain network is a significant issue for businesses today. However, the complexity of green supply chain concerns makes it crucial to present a model that can be effectively addressed. In this research, factories, warehouses, and retailers are investigated as a three-level supply chain network. The proposed model seeks to reduce the overall cost of the system while also cutting down on gas emissions. With this model, we propose using the multi-objective goal programming approach as a solution technique. Results from the epsilon constraint approach and the sensitivity analysis of the required parameters have been compared to validate the efficacy of the suggested method. According to the findings, the amount of pollution generated by each facility is proportional to the requested quantity, and the travelled distance of vehicles. Journal: Int. J. of Logistics Systems and Management Pages: 308-322 Issue: 3 Volume: 52 Year: 2025 Keywords: green supply chain; environment; gas emission; location. File-URL: http://www.inderscience.com/link.php?id=149882 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:308-322 Template-Type: ReDIF-Article 1.0 Author-Name: Deepak Kumar Pathak Author-X-Name-First: Deepak Kumar Author-X-Name-Last: Pathak Author-Name: Ajay Verma Author-X-Name-First: Ajay Author-X-Name-Last: Verma Author-Name: Vimal Kumar Author-X-Name-First: Vimal Author-X-Name-Last: Kumar Title: Analysing barriers to sustainable supply chain management: a home appliances manufacturing case study Abstract: The purpose of this study is to analyse the barriers hindering sustainability in the context of Indian home appliances manufacturing industry. Through a broad literature review, experts' judgements and Pareto analysis 18 barriers have been recognised and classified into five major categories of management, government, knowledge, technical and financial. Analytic hierarchy process (AHP) has been used to give the comparative importance and prioritising the identified 18 barriers of sustainability in context of Indian home appliance manufacturing industry. The results of this study reveal that lack of top management involvement under management related barrier category is significant barrier having maximum weightage of 23.7% followed by lack of research and development on sustainability with the global weight of 13.9%. The ranking of barriers in this research work will gives an imminent to the manufacturing organisations in confronting barriers, also assist researchers, and policymakers for their better understanding among them. Journal: Int. J. of Logistics Systems and Management Pages: 387-409 Issue: 3 Volume: 52 Year: 2025 Keywords: sustainability; supply chain; analytical hierarchy process; AHP; barriers; manufacturing organisations. File-URL: http://www.inderscience.com/link.php?id=149883 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:387-409 Template-Type: ReDIF-Article 1.0 Author-Name: Ilias P. Vlachos Author-X-Name-First: Ilias P. Author-X-Name-Last: Vlachos Author-Name: Sandeep Kadavarath Santhosh Author-X-Name-First: Sandeep Kadavarath Author-X-Name-Last: Santhosh Title: A systematic literature review food supply chain resilience: stakeholder, strategic, and regional analyses and future directions Abstract: This study conducted a systematic literature review to investigate the resilience to the COVID-19 pandemic of various food supply chain (FSC) stakeholders, i.e., farmers, foodservice distributors, foodservice producers, food manufacturers, retailers, and consumers. Descriptive and thematic analysis showed that FSC stakeholders were impacted and reacted differently to the pandemic depending on factors such as human resources, supply chain uncertainty, monetary and economic restraints, logistics disruptions, and infrastructure disruptions, among others. The regional analysis examined studies that were conducted in developed and developing nations and showed that the impact was higher in developing nations which can be attributed to the lack of infrastructure and advanced technologies. Resilient strategies analysis uncovered several strategies including: efficient information sharing system, improving urban-rural gaps, government actions, supply chain collaboration, product portfolio optimisation, and efficient vehicle utilisation. The study concludes with important managerial and policy implications for each FSC stakeholder and presents future research directions. Journal: Int. J. of Logistics Systems and Management Pages: 323-364 Issue: 3 Volume: 52 Year: 2025 Keywords: food supply chain; FSC; resilience; systematic literature review; SLR; stakeholder analysis; COVID-19 pandemic; supply chain resilience; regional analysis; chronological analysis; supply chain collaboration; developed nations; developing nations. File-URL: http://www.inderscience.com/link.php?id=149884 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:323-364 Template-Type: ReDIF-Article 1.0 Author-Name: Pham Duc Tai Author-X-Name-First: Pham Duc Author-X-Name-Last: Tai Author-Name: Jirachai Buddhakulsomsiri Author-X-Name-First: Jirachai Author-X-Name-Last: Buddhakulsomsiri Author-Name: Parthana Parthanadee Author-X-Name-First: Parthana Author-X-Name-Last: Parthanadee Title: An order picking operation improvement in a cross-docking distribution centre using simulation: a case study of a chilled distribution centre in Thailand Abstract: This article involves a study to improve the cross-docking operation at a chilled distribution centre, owned by a retail conglomerate in Thailand. Among activities of cross-docking, order picking is identified as a bottleneck. Therefore, exploring operational policies that improves the performance of order picking in terms of makespan and operating cost of is the objective of this study. To facilitate the exploration, a simulation model is developed. The model is experimented with various sets of operational policies. Each set represents a combination of options for resource management, (i.e., dedicating and sharing of picking operators) and order splitting, (i.e., split no batch, only the first batch, and the first and the last two batches of orders). Statistical analysis of the simulation indicates that implementing resource sharing with splitting the first and the last two batches minimises both the makespan and operating cost of the order picking activity. Journal: Int. J. of Logistics Systems and Management Pages: 410-432 Issue: 3 Volume: 52 Year: 2025 Keywords: simulation; order picking; put-to-light; cross-docking; chilled distribution centre; CDC; Thailand. File-URL: http://www.inderscience.com/link.php?id=149885 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:3:p:410-432 Template-Type: ReDIF-Article 1.0 Author-Name: Bruno da Costa Ferreira Gameiro Author-X-Name-First: Bruno da Costa Ferreira Author-X-Name-Last: Gameiro Author-Name: Eduardo Guilherme Satolo Author-X-Name-First: Eduardo Guilherme Author-X-Name-Last: Satolo Author-Name: Izabela Simon Rampasso Author-X-Name-First: Izabela Simon Author-X-Name-Last: Rampasso Author-Name: Alexandre Tadeu Simon Author-X-Name-First: Alexandre Tadeu Author-X-Name-Last: Simon Title: Supply Chain 4.0 qualifiers for agroindustries - application of fuzzy Delphi method Abstract: In agroindustry, specifically in Supply Chain 4.0, there are gaps when discussing technologies and qualifiers that assess the degree of maturity. This article purpose defines which are the qualifiers that evaluate Supply Chain 4.0 for agribusiness companies. A set of 158 qualifiers, associated with 13 technologies of Industry 4.0, was identified, and distributed in application and benefit. The validation was carried out through a survey with specialists, analysis of the calculation of degree of pertinence of each qualifier using the fuzzy Delphi method and analysis of the place of action. As a result, 52 qualifiers were distributed among the 13 technologies. This research contributes to the academic area by increasing publications in the agribusiness area and serving as a reference for the application of the methodology used. In the professional area, it helps assess the maturity of companies and guides the implementation process of Supply Chain 4.0. Journal: Int. J. of Logistics Systems and Management Pages: 433-466 Issue: 4 Volume: 52 Year: 2025 Keywords: agribusiness; Industry 4.0; IoT; CPS; big data; RFID; machine learning; blockchain; augmented reality; robots and automation. File-URL: http://www.inderscience.com/link.php?id=150277 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:433-466 Template-Type: ReDIF-Article 1.0 Author-Name: Kaoutar Jenoui Author-X-Name-First: Kaoutar Author-X-Name-Last: Jenoui Author-Name: Ahmed El Maalmi Author-X-Name-First: Ahmed El Author-X-Name-Last: Maalmi Title: A blockchain-based decision system for implementing traceability in a multiple sourcing strategy Abstract: Ensuring traceability in the upstream supply chain management can be challenging, particularly, when it comes to determining the optimal quantity to be sourced from each supplier in a multiple-sourcing strategy. This paper presents a novel blockchain-based decision system (BBDS) for implementing traceability in a multiple-sourcing strategy. The proposed BBDS is based on a distributed architecture that ensures the transparent sharing of data among different parties. The system utilises a special currency and nodes for permission verification and information requests including the upstream supply chain enterprises. The deployment of the BBDS requires the development of a decision system and a smart contract using a dedicated programming language. The results of this research demonstrate the potential of the BBDS to improve the traceability and decision-making process in a multiple-sourcing strategy. We conclude by discussing the limitations and potential future developments of our proposed system. Journal: Int. J. of Logistics Systems and Management Pages: 467-487 Issue: 4 Volume: 52 Year: 2025 Keywords: supply chain management; blockchain technologies; traceability; multiple sourcing strategy; decision making system. File-URL: http://www.inderscience.com/link.php?id=150278 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:467-487 Template-Type: ReDIF-Article 1.0 Author-Name: Vikash Khatri Author-X-Name-First: Vikash Author-X-Name-Last: Khatri Author-Name: Ajay Kumar Pandey Author-X-Name-First: Ajay Kumar Author-X-Name-Last: Pandey Title: Franchising model competitiveness in logistics sector of India: a case-based approach Abstract: In the growth journey of logistics, companies have adopted franchising model to expand their reach. Some companies have excelled with the franchise model and attained leadership position in their respective domain. Franchising is an established stream which has wide acceptance in retailing, food chains, etc. The objective of this research is to evaluate a franchising model for building competitive advantage in the Indian logistics. For this research, case method has been adopted as there is no existing research on logistics franchising. The franchisee model enables the factors, which support in building competitive advantage and helps by way of ease of expansion, client connect, last mile vendor relationship, improved revenue for the organisation. This study adds to the knowledge on franchise in logistic industry. For a logistics service provider, the study helps in framing channel strategy for expansion through franchising and clearly elaborates the benefits and risk arising through franchising model. Journal: Int. J. of Logistics Systems and Management Pages: 509-522 Issue: 4 Volume: 52 Year: 2025 Keywords: logistics; franchising; competitiveness; Porter five force model; India. File-URL: http://www.inderscience.com/link.php?id=150279 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:509-522 Template-Type: ReDIF-Article 1.0 Author-Name: Djalma Silva Guimarães Júnior Author-X-Name-First: Djalma Silva Guimarães Author-X-Name-Last: Júnior Author-Name: Pablo Aurélio Lacerda de Almeida Pinto Author-X-Name-First: Pablo Aurélio Lacerda de Almeida Author-X-Name-Last: Pinto Author-Name: Danilo Raimundo de Arruda Author-X-Name-First: Danilo Raimundo de Author-X-Name-Last: Arruda Author-Name: Alisson Barbosa da Silva Author-X-Name-First: Alisson Barbosa da Author-X-Name-Last: Silva Title: Smart supply chain: a bibliometric analysis and overview Abstract: The advances in information and communication technologies (ICTs) and Industry 4.0 provide new possibilities and opportunities for an intelligent supply chain (ISC). This work aimed to measure research trends on ISCs based in analysis of the main theoretical contributions the literature. A bibliometric survey of publications presented was used combined with a systematic review. The results showed a recent growth in the number of publications, indicate the main authors, universities and relevant countries. The internet of things (IoT) points to great advances in smart supply chains (SSC). Still, it is observed that the studies are incipient, opening a field of possibilities and challenges for empirical studies, seeking to better understand the applications of technologies. Advances in this area and insertion in the global market depend on these empirical advances. This becomes even more imperative in the context of the recovery of the world economy in the post-COVID-19. Journal: Int. J. of Logistics Systems and Management Pages: 488-508 Issue: 4 Volume: 52 Year: 2025 Keywords: Logistic 4.0; smart supply chains; SSC; Industry 4.0; market; management. File-URL: http://www.inderscience.com/link.php?id=150280 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:488-508 Template-Type: ReDIF-Article 1.0 Author-Name: Kuei-Kuei Lai Author-X-Name-First: Kuei-Kuei Author-X-Name-Last: Lai Author-Name: Priyanka Verma Author-X-Name-First: Priyanka Author-X-Name-Last: Verma Author-Name: Vimal Kumar Author-X-Name-First: Vimal Author-X-Name-Last: Kumar Title: Investigation on key drivers for sustainable supply chain management implementation: empirical evidence from manufacturing industry Abstract: Sustainability in supply chain is designed to keep the consistent procedure without disturbing the ecological condition. The importance of sustainable in supply chain is to enhance the productivity even as reducing financial resources at same time. The purpose of the present work is to investigate the successful key drivers for sustainable supply chain management (SSCM) implementation in context of Indian manufacturing industry. A mixed method approach, viz., Pareto analysis and a multi-criteria decision-making (MCDM) grey relational analysis (GRA) has been used. A total ten successful key drivers to implement sustainability in supply chain based on organisational perspective are investigated by Pareto analysis, expert's judgments and literature review. Further, GRA has been used to calculate the relative positioning among the identified key drivers. The result of this study reveals that SSC10 (positive organisational culture), SSC5 (availability of information), SSC1 (initiation of management commitment), and SSC7 (strategic planning) are stood at first four key drivers that have played an important role for the success of sustainable supply chain. The findings of the present research work can also assist supply chain stakeholders in their organisation of significant strategies. Journal: Int. J. of Logistics Systems and Management Pages: 545-563 Issue: 4 Volume: 52 Year: 2025 Keywords: supply chain management; sustainability; manufacturing industry; multi-criteria decision-making; MCDM. File-URL: http://www.inderscience.com/link.php?id=150281 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:545-563 Template-Type: ReDIF-Article 1.0 Author-Name: Maujid Bashir Author-X-Name-First: Maujid Author-X-Name-Last: Bashir Title: An analysis of the ailments in inventory management in the Indian warehouses Abstract: Warehousing has been a prominent and efficient tool for developed countries, and it has aided their economy at large with manageable costs and effective control. India, despite being one large country, is yet to set its foot in the warehousing section. Due to an almost absenteeism of warehousing or little warehousing structure India faces highest amount of food, grain, materials wastage. This study concentrates itself on setting up better, efficient, cost-controlled, and result-oriented warehouses and in turn a better economy for the nation. Warehousing provides proficient and hygienic storing facilities of goods to ensure a continuous and timely flow of goods to the market and consumers. It protects perishable and semi-perishable items from deterioration. It maintains and controls the demand and supply chain even for the seasonal commodities. It stabilises prices and helps keep them at an affordable range. The sufferings with the likes of infrastructure, land availability, credit, political interferences, proper segments and their role, taxes, labour, and it is training, etc. have added to the miseries of warehousing. Hence there is sure and need immediate requisite for proper and analytical research which could mend this torn, but important industry. Journal: Int. J. of Logistics Systems and Management Pages: 523-544 Issue: 4 Volume: 52 Year: 2025 Keywords: warehouse; warehousing; warehousing management; logistics; supply chain management; supply chain integration; docking. File-URL: http://www.inderscience.com/link.php?id=150282 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:523-544 Template-Type: ReDIF-Article 1.0 Author-Name: Bui Thanh Khoa Author-X-Name-First: Bui Thanh Author-X-Name-Last: Khoa Title: The role of information technology in food business performance: the mediator of electronic green supply chain management Abstract: This article investigates the influence of information technology (IT) systems on adopting electronic green supply chain management (eGSM) practices in the food business. It also assesses how eGSM practices affect corporate success. The statistics findings are based on responses from 838 Vietnamese food manufacturing businesses. Using the resource-based view (RBV) and information system (IS) success model, this investigation establishes links between IT systems (IT resources, IT quality characteristics), eGSM practices (internal integration, external cooperation), and food business performance. This study looks at the influence of IT-related factors on eGSM adoption and the bottom line. According to the research, combining theories or models may produce a richer and more valuable collection of insights. Journal: Int. J. of Logistics Systems and Management Pages: 593-606 Issue: 4 Volume: 52 Year: 2025 Keywords: electronic green supply chain management; food business performance; information technology systems. File-URL: http://www.inderscience.com/link.php?id=150283 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:593-606 Template-Type: ReDIF-Article 1.0 Author-Name: Arshad Hussain Author-X-Name-First: Arshad Author-X-Name-Last: Hussain Author-Name: Tridib Ranjan Sarma Author-X-Name-First: Tridib Ranjan Author-X-Name-Last: Sarma Author-Name: Pratim Barua Author-X-Name-First: Pratim Author-X-Name-Last: Barua Author-Name: Ankumon Sarmah Author-X-Name-First: Ankumon Author-X-Name-Last: Sarmah Title: Supply chain integration through network optimisation to facilitate dynamic entity addition for a wild silk industry Abstract: This article aims to achieve integration in the supply chain of Muga silk by optimising the transportation distance in the supply chain network. The objectives of this study include re-modelling the existing supply chain to integrate identified entities besides facilitating the dynamic addition of future entities without causing disruptions. The research follows an experimental design and uses network analysis techniques to present an optimal network that seeks to achieve supply chain integration by an incremental selection of the nearest node while minimising transportation distance in the overall network. Findings from the study can facilitate the creation of closed-looped ecosystems already existing in different districts and integrate them into the greater supply chain of the Muga silk industry. This process can be used to achieve similar entity collaboration in neighbouring districts, resulting in improved logistics in the industry. Journal: Int. J. of Logistics Systems and Management Pages: 564-592 Issue: 4 Volume: 52 Year: 2025 Keywords: supply chain integration; network optimisation; Muga silk; wild silk; logistic systems; minimal spanning tree. File-URL: http://www.inderscience.com/link.php?id=150284 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:52:y:2025:i:4:p:564-592