Template-Type: ReDIF-Article 1.0 Author-Name: Ajay K. Aggarwal Author-X-Name-First: Ajay K. Author-X-Name-Last: Aggarwal Author-Name: Dinesh S. Davè Author-X-Name-First: Dinesh S. Author-X-Name-Last: Davè Author-Name: Varinder M. Sharma Author-X-Name-First: Varinder M. Author-X-Name-Last: Sharma Title: Status of circular supply chains in Asian and European countries Abstract: This study describes the circular economy concept, the obstacles to implementing it in global circular supply chains, and the efforts made by significant manufacturing and consuming Asian and European countries. Whereas the sourcing Asian countries are dealing with depleting raw materials and pollution resulting from manufacturing products, the western countries face consumption-related problems and the resulting waste through enacting laws and policies to minimise waste generation while encouraging businesses and consumers to participate in prolonging the product life cycles. The global supply chains adjust to the circular economy at country-specific levels in piecemeal ways to ultimately develop efficient supply chains. Journal: Int. J. of Logistics Systems and Management Pages: 1-18 Issue: 1 Volume: 53 Year: 2026 Keywords: circular supply chain; waste; recycle; reuse; refurbish; remake. File-URL: http://www.inderscience.com/link.php?id=150954 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Manohar Mahapatro Author-X-Name-First: Manohar Author-X-Name-Last: Mahapatro Author-Name: Ramakurthi Veerababu Author-X-Name-First: Ramakurthi Author-X-Name-Last: Veerababu Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Green logistics: a bibliometric analysis and review Abstract: The rapidly evolving domain of logistics has seen an exponential growth in research articles in this discipline. A variety of literature evaluations have been produced, each concentrating on specific aspects of logistics such as network architecture, supplier inventory control, information systems, and others with a wider framework. This paper includes a complete bibliometric analysis as well as a descriptive review of green logistics, sustainability, transportation and reverse logistics. The investigation begins with the identification of 1,296 scientific studies, which are subsequently narrowed down to works in supply chain-related domains. This comprehensive analysis of the domain aids in graphical interpretation of publication history through time as well as identifying areas of current research interest and prospective directions for future study. The findings provide a solid path for future research in this domain. Journal: Int. J. of Logistics Systems and Management Pages: 19-47 Issue: 1 Volume: 53 Year: 2026 Keywords: logistics; green logistics; sustainability; transportation; reverse logistics; bibliometric analysis; literature review. File-URL: http://www.inderscience.com/link.php?id=150955 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:19-47 Template-Type: ReDIF-Article 1.0 Author-Name: Hossein Alaee Kakhki Author-X-Name-First: Hossein Alaee Author-X-Name-Last: Kakhki Author-Name: Amir Mohammad Fakoor Saghih Author-X-Name-First: Amir Mohammad Fakoor Author-X-Name-Last: Saghih Author-Name: Alireza Pooya Author-X-Name-First: Alireza Author-X-Name-Last: Pooya Title: Strategic taxonomy of supply chain sustainability in manufacturing companies: evidence from Iran Abstract: The present study was conducted with the aim of clustering manufacturing companies based on the indicators affecting the supply chain sustainability. For this purpose, 496 companies active in the North Eastern Iran were clustered using support vector machine, artificial neural network and electromagnetic methods considering the indicators affecting the supply chain sustainability, and the best clustering method was determined. Next, the discriminant function was extracted and the results were analysed in order to discriminate between the dominant groups. Based on the obtained results, the studied manufacturing companies can be grouped into two dominant strategic categories of sustainable and unsustainable, so that 65% of the studied population is classified in the unsustainable group, with a score of 2.78 in the environmental dimension that puts them in an unfavourable situation. Finally, the results of this study, in addition to evaluating the company's performance in the field of sustainability, help managers in formulating appropriate strategies to improve the level of supply chain sustainability. Journal: Int. J. of Logistics Systems and Management Pages: 69-92 Issue: 1 Volume: 53 Year: 2026 Keywords: supply chain sustainability; taxonomy; support vector machine; SVM; artificial neural network; electromagnetic; multilayer perceptron neural network. File-URL: http://www.inderscience.com/link.php?id=150956 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:69-92 Template-Type: ReDIF-Article 1.0 Author-Name: Yudi Fernando Author-X-Name-First: Yudi Author-X-Name-Last: Fernando Author-Name: Ridho Bramulya Ikhsan Author-X-Name-First: Ridho Bramulya Author-X-Name-Last: Ikhsan Author-Name: Ika Sari Wahyuni-TD Author-X-Name-First: Ika Sari Author-X-Name-Last: Wahyuni-TD Author-Name: Rosly Othman Author-X-Name-First: Rosly Author-X-Name-Last: Othman Title: Circular supply chain with product-service systems: a case of recycled products Abstract: Circular supply chain management has encountered a critical challenge in promoting recycled products to the market and maintaining product competitiveness. Integrating the product-service system in the circular supply chain is expected to deliver better business performance. This study explores the supply chain mechanism based on a product-service system of recycled products. The qualitative technique has been deployed to collect data on the key personnel involved product-service system in the circular supply chain. Thirteen key informants are participated and interviewed separately. The data have been analysed, and results show that the marketability of recycled products, digital platform, customer services, supplier readiness and product return flow is the critical success of the product-service system in a circular supply chain. In addition, the manufacturing supply chain must pay attention to the network distribution, risk management and mitigation strategy. Journal: Int. J. of Logistics Systems and Management Pages: 120-135 Issue: 1 Volume: 53 Year: 2026 Keywords: circular supply chain management; product-service system; recycled products; recoverable products; industrial marketing. File-URL: http://www.inderscience.com/link.php?id=150957 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:120-135 Template-Type: ReDIF-Article 1.0 Author-Name: Mauro Vivaldini Author-X-Name-First: Mauro Author-X-Name-Last: Vivaldini Author-Name: Daniel Pascal Kutsch Author-X-Name-First: Daniel Pascal Author-X-Name-Last: Kutsch Author-Name: Guilherme Ribeiro Vivaldini Author-X-Name-First: Guilherme Ribeiro Author-X-Name-Last: Vivaldini Title: Inventory financing service: an approach to the role of the logistics service provider Abstract: The study intends to update the literary view regarding the inventory financing service (IFS) and discuss the logistic service provider's (LSP) role in this type of service, presenting research and business opportunities in this niche. The study shows that the IFS theme focused on the LSP was relatively neglected by the services, operations and supply chain literature since the research had a greater focus on the financial issues correlated to the risks of the operation. The article contributes by clarifying the role of LSP in offering this service and pointing out gaps that can be better explored in future research. Journal: Int. J. of Logistics Systems and Management Pages: 48-68 Issue: 1 Volume: 53 Year: 2026 Keywords: inventory financing service; IFS; logistic service provider; LSP; financial service provider; FSP; supply chain finance. File-URL: http://www.inderscience.com/link.php?id=150958 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:48-68 Template-Type: ReDIF-Article 1.0 Author-Name: Anyarin Sakrujiratham Author-X-Name-First: Anyarin Author-X-Name-Last: Sakrujiratham Author-Name: Huynh Trung Luong Author-X-Name-First: Huynh Trung Author-X-Name-Last: Luong Title: Coordinating the VMI supply chain of deteriorating products through supply contract Abstract: This study considers a two-echelon supply chain with one vendor and one retailer for a deteriorating item under the vendor-managed inventory (VMI) policy. The study considers the time to deterioration follows a Weibull distribution, price-sensitive demand, and shortages are allowed and completely backlogged. We analyse the coordination of the VMI supply chain through a contract mechanism, i.e., a revenue-sharing contract. First, we formulate and compare the decentralised VMI and centralised models. Next, we propose a revenue-sharing contract to coordinate the decentralised VMI supply chain. The applicability of the proposed model is illustrated through numerical examples and sensitivity analyses. The results show that the supply chain's profit under the decentralised VMI system with a revenue-sharing contract increases and can reach the profit of the centralised system. The revenue-sharing contract can perfectly coordinate the VMI decentralised supply chain, increase the supply chain's profit significantly, and allocate the total supply chain profit to members fairly. Journal: Int. J. of Logistics Systems and Management Pages: 93-119 Issue: 1 Volume: 53 Year: 2026 Keywords: vendor-managed inventory; VMI; deteriorating products; channel coordination; revenue-sharing contract. File-URL: http://www.inderscience.com/link.php?id=150959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:93-119 Template-Type: ReDIF-Article 1.0 Author-Name: Glaubos Clímaco Author-X-Name-First: Glaubos Author-X-Name-Last: Clímaco Author-Name: Luidi Simonetti Author-X-Name-First: Luidi Author-X-Name-Last: Simonetti Author-Name: Isabel Rosseti Author-X-Name-First: Isabel Author-X-Name-Last: Rosseti Author-Name: Ítalo Santana Author-X-Name-First: Ítalo Author-X-Name-Last: Santana Title: Enhancing a GRASP heuristic for the prize-collecting covering tour problem through data mining techniques Abstract: Recent research has shown that hybrid heuristics, combining greedy randomised adaptive search procedures (GRASP) with data mining, are an effective approach to solving combinatorial optimisation problems. This paper presents a novel hybrid heuristic for the prize-collecting covering tour problem, which employs data mining techniques to enhance the GRASP algorithm. By leveraging patterns observed in high-quality solutions, our approach is able to explore the search space more efficiently, leading to improved results and reduced computational time. Our experimental results demonstrate the effectiveness of the proposed approach, which consistently outperforms existing methods across a wide range of problem instances. We present statistical significance tests, as well as an analysis of the impact of pattern mining and time-to-target plots, to support our findings. Journal: Int. J. of Logistics Systems and Management Pages: 136-162 Issue: 1 Volume: 53 Year: 2026 Keywords: data mining; hybrid heuristics; greedy randomised adaptive search procedures; GRASP; prize-collecting covering tour problem; PCCTP. File-URL: http://www.inderscience.com/link.php?id=150960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:1:p:136-162 Template-Type: ReDIF-Article 1.0 Author-Name: Mariusz Kmiecik Author-X-Name-First: Mariusz Author-X-Name-Last: Kmiecik Title: Predictive digital twin for 3PL activity Abstract: This article showcases a pilot implementation of the predictive digital twin (PDT) in 3PL warehouse management. Using 2D and 3D simulation models, the PDT was applied in an international 3PL company, following a procedure proposed for digital twins adoption. This PDT concept is built on logistic coordination and the role of digital twins in logistics operations. The solution's architecture was adapted from a DT approach, and insights were gained from the pilot study. Despite limitations, the international 3PL company demonstrated its capability to implement PDT in outsourced warehouse services. However, the study focused on selected contract logistics processes and an international perspective, potentially differing for smaller, local logistics operators. This research contributes significantly to management sciences, highlighting PDT's potential to revolutionise supply chain management, enhancing efficiency, process optimisation, and adaptability to market changes. Journal: Int. J. of Logistics Systems and Management Pages: 163-190 Issue: 2 Volume: 53 Year: 2026 Keywords: digital twin; predictive digital twin; PDT; logistics coordination; third-party logistics; 3PL; warehousing. File-URL: http://www.inderscience.com/link.php?id=151733 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:2:p:163-190 Template-Type: ReDIF-Article 1.0 Author-Name: Nader A. Al Theeb Author-X-Name-First: Nader A. Al Author-X-Name-Last: Theeb Author-Name: Hazem Jamil Smadi Author-X-Name-First: Hazem Jamil Author-X-Name-Last: Smadi Author-Name: Naser R. Al-Qaydeh Author-X-Name-First: Naser R. Author-X-Name-Last: Al-Qaydeh Title: A novel sequential ensemble approach and particle swarm optimisation algorithm for forecasting: applied for COVID-19 cases as case study Abstract: COVID-19 virus has spread to most countries around the world, negatively affecting people livelihood. Providing accurate forecasts of COVID-19 cases can help governments to find the optimal combination of measures. In this study, a sequential ensemble forecasting approach that combine the gated recurrent unit (GRU) model with particle swarm optimisation (PSO) algorithm is proposed for forecasting of COVID-19 cases. The PSO method was used to select the best hyperparameters of the base predictor of the proposed model. The t-test was used to statistically compare the suggested model against a single optimised GRU, in addition to other benchmark models. Results revealed the superiority of the proposed method. Further, adding models sequentially improved the forecasting quality, compared to a single PSO-GRU model, the mean error was reduced by 15.52%, 16.05%, 16.53%, 16.39%, and 12.83% in terms of RMSE, MAP, MAPE, RMSPE, and RMSLE, respectively. Journal: Int. J. of Logistics Systems and Management Pages: 191-214 Issue: 2 Volume: 53 Year: 2026 Keywords: deep learning; time series forecasting; ensemble model; particle swarm optimisation; PSO; long short-term memory; LSTM; gated recurrent unit; GRU. File-URL: http://www.inderscience.com/link.php?id=151734 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:2:p:191-214 Template-Type: ReDIF-Article 1.0 Author-Name: Twinkle Singh Author-X-Name-First: Twinkle Author-X-Name-Last: Singh Author-Name: Jeanne Poulose Author-X-Name-First: Jeanne Author-X-Name-Last: Poulose Author-Name: Vinod Sharma Author-X-Name-First: Vinod Author-X-Name-Last: Sharma Title: Big data analytics in Indian healthcare supply chain: a review and bibliometric research Abstract: Supply cost comprises the second largest expenditure in healthcare organisations, after manpower cost. Therefore, one of the most pressing challenges faced by the healthcare industry is to improve supply chain practices thereby reducing costs while not compromising on delivery quality healthcare. Against this backdrop, past literature has reflected that technology plays a vital role in opening up extensive opportunities to improve supply chain practices. This study aims to analyse previous research related to supply chain practices in the Indian healthcare industry and highlights the benefits of adopting technology for effective organisational performance. A bibliometric analysis and literature review was conducted to find out the best supply chain practices over the last decade (2011-2021). The review identified big data analytics (BDA) as the technology tool that is garnering considerable attention in supply chain management and is seen offering a wide range of benefits for the healthcare supply chain, from forecasting demand to improving patient care. Journal: Int. J. of Logistics Systems and Management Pages: 243-264 Issue: 2 Volume: 53 Year: 2026 Keywords: supply chain management; SCM; big data analytics; BDA; Indian healthcare sector; bibliometric analysis. File-URL: http://www.inderscience.com/link.php?id=151738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:2:p:243-264 Template-Type: ReDIF-Article 1.0 Author-Name: Charifa Fergani Author-X-Name-First: Charifa Author-X-Name-Last: Fergani Author-Name: Adiba El Bouzekri El Idrissi Author-X-Name-First: Adiba El Bouzekri El Author-X-Name-Last: Idrissi Author-Name: Suzanne Marcotte Author-X-Name-First: Suzanne Author-X-Name-Last: Marcotte Author-Name: Abdelowahed Hajjaji Author-X-Name-First: Abdelowahed Author-X-Name-Last: Hajjaji Title: Robust optimisation of the problem of dynamic localisation of modular mobile facilities in a hybrid network for an uncertain environment Abstract: Production facility location is a critical aspect of supply chain management, as it enables decision makers to determine the optimal location for production to meet customer demand effectively both strategically and tactically. Given the highly dynamic nature of today's markets, taking into account uncertain parameters can lead to more robust decision making under uncertain conditions. This paper presents a robust optimisation approach to solve the dynamic location problem of mobile modular facilities in a hybrid network of localisations considering stochastic demand. The objective of the model is to optimise the total expected cost, the cost variability due to demand uncertainty, and the penalty for demand infeasibility. The study illustrates the efficiency and robustness of the proposed model with numerical results from a case study in the chemical industry. Additionally, the study analyses the trade-off between the robustness of the model and that of the solution. Journal: Int. J. of Logistics Systems and Management Pages: 265-283 Issue: 2 Volume: 53 Year: 2026 Keywords: robust optimisation; demand uncertainty; modular mobile facilities; hyperconnected network; MIP. File-URL: http://www.inderscience.com/link.php?id=151739 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:2:p:265-283 Template-Type: ReDIF-Article 1.0 Author-Name: Nicolas Zufferey Author-X-Name-First: Nicolas Author-X-Name-Last: Zufferey Author-Name: Olivier Gallay Author-X-Name-First: Olivier Author-X-Name-Last: Gallay Author-Name: Reinhard Buergy Author-X-Name-First: Reinhard Author-X-Name-Last: Buergy Author-Name: Oleksandr Velykoivanenko Author-X-Name-First: Oleksandr Author-X-Name-Last: Velykoivanenko Title: Integrated supply chain management challenges in industry Abstract: A supply chain is usually made of various levels in the following sequence: suppliers, plants, warehouses, and shops. Each level has often its own decision makers, constraints to satisfy, and objective functions to optimise. Often, all these decision makers have limited information and optimise local levels on their own, which can result in large supply chain variations. In contrast, in the case of integrated logistics, fewer decisions makers having more information and more decisional power are likely to optimise larger portions of the supply chain. This can result in worse solutions for each supply-chain level but in better solutions when considering the entire supply chain. In this paper, in addition to highlighting the importance of capacity management, we present the benefits of integrated management approaches relying on three industrial applications belonging to different fields (namely, production scheduling, cross docking, and global supply chain management). Integrated logistics challenges are also identified. Journal: Int. J. of Logistics Systems and Management Pages: 215-242 Issue: 2 Volume: 53 Year: 2026 Keywords: integrated optimisation; capacity management; production scheduling; cross docking; supply chain management. File-URL: http://www.inderscience.com/link.php?id=151753 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:2:p:215-242 Template-Type: ReDIF-Article 1.0 Author-Name: Nguyen Trong Tri Duc Author-X-Name-First: Nguyen Trong Tri Author-X-Name-Last: Duc Author-Name: Nguyen Thi Phuong Thao Author-X-Name-First: Nguyen Thi Phuong Author-X-Name-Last: Thao Author-Name: Jirachai Buddhakulsomsiri Author-X-Name-First: Jirachai Author-X-Name-Last: Buddhakulsomsiri Author-Name: Pham Duc Tai Author-X-Name-First: Pham Duc Author-X-Name-Last: Tai Title: Supply chain production-distribution planning: an integrated approach Abstract: This study focuses on a supply chain network design problem considering the integration of the production and distribution networks to make decisions related to the facility location, facility capacity, product allocation, and supplier selection. The multi-echelon structure includes suppliers, sub-assemblers, factories, external warehouses, domestic and overseas customers, with bill of materials, multi-commodity, and multiple periods consideration. The objective is to minimise the total production network cost, including fixed opening, fixed capacity installation, production, transportation, and procurement costs, as well as transportation and warehousing costs for the distribution network. A mixed integer linear programming model that integrates the production and distribution networks design is formulated to demonstrate the efficiency of the network design decision when the two networks are combined and solved at once. Additionally, a sensitivity analysis of product demand and all unit cost components is performed to analyse the impact of different parameter values on the optimal result. Journal: Int. J. of Logistics Systems and Management Pages: 376-396 Issue: 3 Volume: 53 Year: 2026 Keywords: production network; distribution network; mixed integer linear programming; facility location; product allocation. File-URL: http://www.inderscience.com/link.php?id=152605 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:376-396 Template-Type: ReDIF-Article 1.0 Author-Name: Noorul Shaiful Fitri Abdul Rahman Author-X-Name-First: Noorul Shaiful Fitri Abdul Author-X-Name-Last: Rahman Author-Name: Abdelghani Benayoune Author-X-Name-First: Abdelghani Author-X-Name-Last: Benayoune Author-Name: Vinh V. Thai Author-X-Name-First: Vinh V. Author-X-Name-Last: Thai Author-Name: Abdelsalam Adam Hamid Author-X-Name-First: Abdelsalam Adam Author-X-Name-Last: Hamid Author-Name: Rudiah Md Hanafiah Author-X-Name-First: Rudiah Md Author-X-Name-Last: Hanafiah Title: Challenges of adoption digital technologies in Logistics 4.0: a holistic study using the technological determinism theory Abstract: Technological development such as blockchain, the internet of things (IoT), and big data is already having significant impacts on workers and businesses in many industries globally. This study aims to find out the main critical challenges in adopting digital technologies in Logistics 4.0 in Oman, to determine the driving factors of digital technology adoption and identify the techno-digital trends positively impacting Oman's logistics companies. Results reveal that the key factors driving digital technologies' adoption and the main challenges companies in Oman include blockchain, big data, IoT, wireless communication technologies and augmented reality. The findings vindicate that the implementation cost, lack of digital skills among the current labour force, cybersecurity, and cultural change were the main obstacles. Consequently, the study discusses the policy implications of Logistics 4.0 and recommends possible solutions for regulators, policymakers, and other stakeholders using the technological determinism theory. Journal: Int. J. of Logistics Systems and Management Pages: 397-424 Issue: 3 Volume: 53 Year: 2026 Keywords: logistics/supply chain operations; Logistics 4.0; digital technology; technological determinism theory; blockchain. File-URL: http://www.inderscience.com/link.php?id=152606 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:397-424 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: Dealing with resilience in supply chain: an integrated Markov chain modelling approach Abstract: Recently, supply chain disruptions have occurred all over the world. An evident example is the global pandemic, which is COVID-19. Such a pandemic exposes vulnerable points in the supply chain networks and causes prolonged recovery periods. Therefore, developing resilience in the supply chain is essential to deal with disruptions. This study derives a continuous-time Markov chain model to help analyse the sustainability, vulnerability, and recoverability of a supplier who might experience disruptive events. The forward Kolmogorov's equations are employed to help determine the transition probabilities of all system states. Also, the limiting probabilities of the states are determined to quantify the proportion of time that the system will be in the normal, absorbing, and disrupted states in the long run. This approach is a new way of examining sustainability, vulnerability, and recoverability, which are the key components of the supply chain's resilience. Journal: Int. J. of Logistics Systems and Management Pages: 285-330 Issue: 3 Volume: 53 Year: 2026 Keywords: supply chain resilience; continuous Markov chain model; supply chain disruption; network behaviour; supply chain management. File-URL: http://www.inderscience.com/link.php?id=152607 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:285-330 Template-Type: ReDIF-Article 1.0 Author-Name: Eszter Sós Author-X-Name-First: Eszter Author-X-Name-Last: Sós Author-Name: Peter Foldesi Author-X-Name-First: Peter Author-X-Name-Last: Foldesi Title: An analysis of the literature on the use of fuzzy QFD in logistics strategies Abstract: The importance of choosing push and pull logistics strategies in the logistics field is often overlooked by those unfamiliar with logistics, resulting in confusion in the decision-making process regarding logistics operations and the design of the logistics environment. The quality function deployment (QFD) and fuzzy sets techniques have been shown to be suitable methods for the delineation of logistics systems based on previous research, and this paper examines the approaches that have been used to apply fuzzy sets and QFD techniques to logistics strategies. The intention of this research is to unravel the confusion about the concepts of push and pull logistics by supporting it with the development of a new scientific methodology, which is created by combining fuzzy and QFD methods. The aim of this literature review and analysis is to provide an overview of the publications written in the last decade on logistics strategies using QFD and fuzzy methods. Journal: Int. J. of Logistics Systems and Management Pages: 359-375 Issue: 3 Volume: 53 Year: 2026 Keywords: logistics strategy; fuzzy; QFD; marketing. File-URL: http://www.inderscience.com/link.php?id=152608 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:359-375 Template-Type: ReDIF-Article 1.0 Author-Name: Punarut Sirichokpokin Author-X-Name-First: Punarut Author-X-Name-Last: Sirichokpokin Author-Name: Trakarn Prapaspongsa Author-X-Name-First: Trakarn Author-X-Name-Last: Prapaspongsa Author-Name: Jun Ren Author-X-Name-First: Jun Author-X-Name-Last: Ren Author-Name: Duangpun Kritchanchai Author-X-Name-First: Duangpun Author-X-Name-Last: Kritchanchai Title: Operational strategies for the transformation of container port logistics systems with automation technologies: sustainability improvements Abstract: Automation technologies have garnered significant interest to enhance efficiency and competitiveness in maritime transportation ports. However, there is a lack of academic research focused on the sustainability to implementing automation technology as an operational strategy. Therefore, the objective of this study is to formulate comprehensive operational strategies for container port logistics systems (CPLS) in three dimensions: environment, economy and society, with the integration of automation technology. To achieve this goal, the study employs analytic hierarchy process (AHP), importance-performance analysis (IPA) technique, and a scoring matrix measurement to guide the development of operational strategies. The findings of the study highlight the importance of emphasising sustainability indicators that consider both their importance and performance in driving container port sustainability improvements. Additionally, the study underscores the significance of reengineering processes within CPLS and allocating port resources based on the prioritisation of indicators to ensure the successful development of port operational strategies. Journal: Int. J. of Logistics Systems and Management Pages: 425-450 Issue: 3 Volume: 53 Year: 2026 Keywords: port logistics systems; port sustainability; sustainable operational strategy; port automation; analytic hierarchy process; AHP; importance-performance analysis; IPA. File-URL: http://www.inderscience.com/link.php?id=152609 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:425-450 Template-Type: ReDIF-Article 1.0 Author-Name: Adeyinka Peter Ajayi Author-X-Name-First: Adeyinka Peter Author-X-Name-Last: Ajayi Title: Performance analysis with structural equation modelling among food cold chain operators in Ibadan Abstract: This research provides insight into how the utilisation of supply chain management concepts and nascent technologies aided the achievement of cold supply chain performance (CSCP) among retailers of protein (fish and meat) in Ibadan, a Sub-Saharan Africa metropolis. Research hypotheses investigating the possibility of the causal effects between identified SCM concepts [achievement of standardisation in quality (AOS), financial system practices (FSP), internet of things (IoT), internal supply chain practices (ISP), just-in-time (JIT), ownership structure (OS), quality control system (QCS)], and CSCP are formulated and tested using a structural equation modelling approach. A systematic random sampling technique was used to choose four categories of retailers of protein in the study area (hypermarkets, supermarkets, franchisees, and cold room operators). The results showed that there were statistically significant impacts of AOS, FSP, JIT, and, OS on CSCP. The research emphasised the role of corporate governance in the achievement of CSCP among FCC retailers. Journal: Int. J. of Logistics Systems and Management Pages: 331-358 Issue: 3 Volume: 53 Year: 2026 Keywords: food cold chain; cold supply chain performance; protein; Sub-Saharan Africa; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=152610 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijlsma:v:53:y:2026:i:3:p:331-358