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Downstream Food Waste in Restaurant Supply Chains: Behavioural Drivers and Implications for Sustainable Logistics in a Mediterranean Context -
Sourcing Risk in Supply Chains: A Systematic Literature Review -
Real-Time Supply Chain Wave Analytics: A Framework for KPI Monitoring in Non-Food Retail -
Omnichannel Supply Chains Amid Demand Shocks: A Centralized Hierarchical Reinforcement Learning Framework
Journal Description
Logistics
Logistics
is an international, scientific, peer-reviewed, open access journal of logistics and supply chain management published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, ESCI (Web of Science), RePEc, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 19.6 days after submission; acceptance to publication is undertaken in 4.6 days (median values for papers published in this journal in the second half of 2025).
- Journal Rank: JCR - Q2 (Operations Research and Management Science) / CiteScore - Q1 (Information Systems and Management)
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
3.6 (2024);
5-Year Impact Factor:
3.8 (2024)
Latest Articles
Patient Participation and Citizenship in Outpatient Processes: A Service Logistics Study
Logistics 2026, 10(6), 125; https://doi.org/10.3390/logistics10060125 (registering DOI) - 2 Jun 2026
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Background: Outpatient departments operate as interconnected service nodes through which patient and information flows must be coordinated across multiple handoffs. However, the role of patient value co-creation in shaping perceived outpatient process performance remains underexplored. Methods: This study examined how patient citizenship behavior
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Background: Outpatient departments operate as interconnected service nodes through which patient and information flows must be coordinated across multiple handoffs. However, the role of patient value co-creation in shaping perceived outpatient process performance remains underexplored. Methods: This study examined how patient citizenship behavior (VCC_C) and participation behavior (VCC_P) are associated with patient satisfaction (SAT) across four outpatient processes and the overall outpatient pathway of a Thai university hospital. A process-level design was used, combining a cross-sectional survey of 400 patients with PLS-SEM, bootstrapping, multi-group analysis, Kruskal-Wallis tests, IPMA, and semi-structured interviews. Results: Across all processes, VCC_C showed greater explanatory importance for SAT than VCC_P and was strongly associated with VCC_P, indicating a citizenship-dominant pattern. Structural associations were statistically stable across processes, whereas satisfaction levels varied by operational context, with medication dispensing outperforming diagnosis and treatment. IPMA identified feedback and tolerance as high-importance, lower-performance priorities, whereas helping and advocacy emerged as strengths. Conclusions: Interpreted through a service logistics perspective, the findings suggest that queue visibility, handoff coordination, process transparency, and feedback management are important priorities for outpatient service improvement efforts.
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Open AccessArticle
Speed or Green? Strategic Trade-Offs in Online Delivery Options Across UK Retail and Logistics
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Thi Minh Tam Nguyen, Muhammad Azmat and Reem Hadeed
Logistics 2026, 10(6), 124; https://doi.org/10.3390/logistics10060124 (registering DOI) - 2 Jun 2026
Abstract
Background: The rapid growth of e-commerce has intensified the tension between customer expectations for fast, convenient delivery and the need for more sustainable last-mile logistics. While existing studies have examined speed, price, sustainability, and convenience as separate delivery attributes, less attention has
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Background: The rapid growth of e-commerce has intensified the tension between customer expectations for fast, convenient delivery and the need for more sustainable last-mile logistics. While existing studies have examined speed, price, sustainability, and convenience as separate delivery attributes, less attention has been given to how these dimensions are combined and presented in consumer-facing delivery options. Methods: This study adopts a mixed-methods approach, combining a systematic literature review with structured analysis of publicly available delivery offers on websites across the UK retail and logistics sectors. Results: The findings show that delivery design remains strongly shaped by speed, price visibility, and convenience, while sustainability signals are rarely embedded at the point of customer choice. Although the literature highlights growing interest in green logistics, observed delivery menus suggest a persistent gap between sustainability commitments and their implementation at checkout. Five delivery strategy archetypes are identified, illustrating how firms configure trade-offs among fast delivery, affordability, sustainability signalling, and convenience. Conclusions: The study contributes a four-pillar choice architecture framework for understanding online delivery design. It highlights the need for clearer sustainability communication, greener default options, and stronger alignment among firm strategy, consumer decision-making, and policy support in last-mile delivery.
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(This article belongs to the Section Last Mile, E-Commerce and Sales Logistics)
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Identifying Strategic Dimensions of Territorial Logistics Management in Turbulent Environments: A Factor-Analytic Model for Smart, Sustainable, and Resilient Supply Chains
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Rodobaldo Martínez-Vivar, Alexander Sánchez-Rodríguez, Reyner Pérez-Campdesuñer, Yailin Infante-Díaz, Marcos Eduardo Valdés-Alarcón and Gelmar García-Vidal
Logistics 2026, 10(6), 123; https://doi.org/10.3390/logistics10060123 - 2 Jun 2026
Abstract
Background: Territorial logistics management has become increasingly important in turbulent environments, where digitalization, sustainability, resilience, and governance interact to shape regional logistics performance. This study aims to identify the strategic dimensions that structure territorial logistics management. Methods: A sequential mixed-methods design was adopted.
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Background: Territorial logistics management has become increasingly important in turbulent environments, where digitalization, sustainability, resilience, and governance interact to shape regional logistics performance. This study aims to identify the strategic dimensions that structure territorial logistics management. Methods: A sequential mixed-methods design was adopted. First, relevant variables were identified through a structured literature review and expert judgment. Second, a survey of 376 specialists was analyzed using principal component analysis (PCA) to explore the empirical structure of the retained variables. Results: The analysis identified a four-dimensional structure comprising: (1) digital infrastructure and intelligent logistics, (2) sustainability and circular economy, (3) systemic resilience and risk management, and (4) territorial logistics, governance, and accessibility. Together, these dimensions explained more than 70% of the total variance. Conclusions: The findings suggest that territorial logistics management is a multidimensional phenomenon shaped by the interaction of technological, environmental, institutional, and spatial factors. The study provides an empirically grounded exploratory framework for understanding territorial logistics and supporting more integrated strategies for smart, sustainable, and resilient supply chains.
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(This article belongs to the Special Issue Logistics and Supply Chain Challenges and Solutions in the Turbulent World)
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Reproducibility Standards for Lean Maturity Models: Design Guidelines for Logistics Operations
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Padmaka Mirihagalla and Gyula Vastag
Logistics 2026, 10(6), 122; https://doi.org/10.3390/logistics10060122 - 2 Jun 2026
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Background: Lean management has been widely adopted, particularly in logistics operations. Achieving lean is not a discrete intervention but a continuous process of maturing in the integration of processes, work systems, and organizational capabilities within a coherent management philosophy. This maturation requires
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Background: Lean management has been widely adopted, particularly in logistics operations. Achieving lean is not a discrete intervention but a continuous process of maturing in the integration of processes, work systems, and organizational capabilities within a coherent management philosophy. This maturation requires structured measurement instruments for tracking maturity progression. Although numerous lean maturity models (LMMs) have been proposed, none has achieved methodological standardization or acceptance as a measurement yardstick. Methods: This study addresses this gap by evaluating 27 qualified LMMs using a reproducibility-inspired assessment framework. The paper introduces the OVRGP framework (Opportunity, Validity, Reliability, Generalizability, and Process Integrity), comprising 17 rigor-based criteria. Independent raters with substantial lean expertise evaluated all 27 models using a six-point ordinal scale, achieving a pre-consensus inter-rater reliability of ICC(2,1) = 0.836. Results: Nine critical methodological weaknesses were identified, with average scores below 2.0 for criteria requiring empirical validation, structural integrity testing, and cross-context replication. Conclusions: The study offers targeted methodological guidelines for strengthening future LMM development in logistics and supply chain contexts, and introduces the OVRGP framework as a universal reference architecture for maturity model development across industries. It provides researchers, organizations, and consulting practitioners with a design reference standard for rigorous lean maturity instruments.
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Energy and Logistics Cost Transmission in the Dairy Market: Evidence from Kazakhstan Using a Log-Linear ARDL Model
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Dauren Turarov, Zhumakul Abisheva, Aiman Issayeva, Madina Beisenova and Stefan Dyrka
Logistics 2026, 10(6), 121; https://doi.org/10.3390/logistics10060121 - 2 Jun 2026
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Background: This study aims to evaluate the impact of energy and logistics factors on the milk producer price index to support evidence-based policies that maintain price stability at an optimal level. Methods: Annual data for 2000–2023 are used, including the milk producer price
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Background: This study aims to evaluate the impact of energy and logistics factors on the milk producer price index to support evidence-based policies that maintain price stability at an optimal level. Methods: Annual data for 2000–2023 are used, including the milk producer price index, milk production volume, transport CPI, diesel price, CO2 emissions from agriculture, and renewable energy consumption (percentage of total energy consumption). A log-linear ARDL model is applied to examine both short- and long-run asymmetric effects of diesel prices, transport costs, and agricultural CO2 emissions on milk production dynamics. Results: The research results indicate that energy expenses, logistics considerations, and environmental metrics have statistically significant asymmetric influences on milk production. This underscores the varying short-term adjustments and enduring long-term economic effects throughout the supply chain. Conclusions: Energy and cost factors on the supply side significantly influence the stability of milk markets. Therefore, improving transportation efficiency, encouraging the use of renewable energy sources, and addressing environmental impacts can contribute to consistent and sustainable pricing. Specific policies—including investments in transport infrastructure, subsidies for green energy targeting dairy producers, carbon pricing with support tailored to the sector, and digitalization of supply chains—can enhance resilience and ensure price stability.
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Investigating the Potential and Performance of Generative AI for a Vehicle Routing Problem
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Sakgasem Ramingwong and Jutamat Jintana
Logistics 2026, 10(6), 120; https://doi.org/10.3390/logistics10060120 - 1 Jun 2026
Abstract
Background: Vehicle routing optimization traditionally requires specialized software and technical expertise, limiting accessibility for small-to-medium enterprises. This study investigates whether generative AI (Claude 3.5 Sonnet via Claude.ai) can provide competitive vehicle routing solutions compared to traditional optimization methods while eliminating technical barriers.
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Background: Vehicle routing optimization traditionally requires specialized software and technical expertise, limiting accessibility for small-to-medium enterprises. This study investigates whether generative AI (Claude 3.5 Sonnet via Claude.ai) can provide competitive vehicle routing solutions compared to traditional optimization methods while eliminating technical barriers. Methods: Fifty independent optimization trials were conducted across four methods—Claude.ai (generative AI), VRP Spreadsheet (Linear Programming), Routific (commercial heuristic), and genetic algorithm (evolutionary metaheuristic)—applied to a real-world case study of AED maintenance routing across 80 service locations in Chiang Rai, Thailand. Performance was evaluated across solution quality, ease of use, setup time, and implementation constraints. Results: The Genetic Algorithm achieved the best performance (908.34 km, −27.9% vs. manual routing), followed by Claude.ai best trial (941.64 km, −25.3%), VRP Spreadsheet (949.26 km, −24.7%), and Routific (964.36 km, −23.5%). Notably, Claude.ai’s best trial outperformed deterministic VRP Spreadsheet while requiring only 12 min setup versus 15 min. Probabilistic methods (Claude.ai, Genetic Algorithm) exhibited acceptable variability (CV: 2.24–2.28%), which was substantially lower than typical operational uncertainties. Conclusions: Generative AI provides accessible, competitive vehicle routing optimization, achieving 25%+ improvements with minimal technical expertise, democratizing advanced logistics planning for resource-constrained organizations.
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(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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Strategic Capabilities Integration for Competitive Advantage: Evidence from Thailand’s Freight Forwarding Industry
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Nattakorn Pinyanitikorn, Rawida Wiriyakitjar and Aannicha Thunyachairat
Logistics 2026, 10(6), 119; https://doi.org/10.3390/logistics10060119 - 29 May 2026
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Background: Thailand is considered a logistics hub in Southeast Asia where the freight forwarding sector is essential for international trade and economic growth. This study aims to explore the relationships between logistics resources, strategic capabilities, competitive advantage, and organizational performance in Thailand’s
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Background: Thailand is considered a logistics hub in Southeast Asia where the freight forwarding sector is essential for international trade and economic growth. This study aims to explore the relationships between logistics resources, strategic capabilities, competitive advantage, and organizational performance in Thailand’s freight forwarding sector. Methods: A quantitative cross-sectional survey was conducted with 250 management-level respondents from Thai freight forwarding companies. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to examine direct and mediating relationships among constructs. Results: Logistics resources significantly influenced competitive advantage, while strategic capabilities that integrate dynamic capabilities and green supply chain management exerted a stronger effect. Competitive advantage strongly predicted organizational performance, explaining 53.4% of its variance. Mediation analysis confirmed that competitive advantage mediates the effects of both logistics resources and strategic capabilities on organizational performance. Conclusions: Strategic capabilities exert greater impact on competitive advantage than static logistics resources, underscoring that organizational adaptability is more critical than resource possession alone. Freight forwarding firms should prioritize capability development and embed environmental management as a core competency rather than a compliance obligation.
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(This article belongs to the Special Issue Advancing Circular Supply Chains: Integrating Logistics, Supply Chain Management and Circular Economy Practices)
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Open AccessSystematic Review
Blockchain in Mining and Mineral Supply Chains: A Systematic Mapping Review of Traceability, Governance, and Operational Coordination
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Félix Díaz, Nhell Cerna, Rafael Liza and Bryan Motta
Logistics 2026, 10(5), 118; https://doi.org/10.3390/logistics10050118 - 20 May 2026
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Background: Blockchain and distributed ledger technologies are increasingly proposed to strengthen traceability, governance, visibility, and coordination in mining and mineral supply chains, but mining-specific evidence remains fragmented. Methods: We conducted a systematic mapping review of peer-reviewed articles indexed in Scopus and
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Background: Blockchain and distributed ledger technologies are increasingly proposed to strengthen traceability, governance, visibility, and coordination in mining and mineral supply chains, but mining-specific evidence remains fragmented. Methods: We conducted a systematic mapping review of peer-reviewed articles indexed in Scopus and Web of Science to examine application contexts, functional roles, technical architectures, evidence types, and adoption constraints of blockchain-enabled systems in these settings. Results: The review shows that blockchain is used across five functional domains: traceability and provenance; governance and secure data control; operational monitoring and inspection; energy and market coordination; and sustainability and environmental surveillance. Permissioned and consortium-based architectures predominated and were commonly combined with sensors, external storage, identity mechanisms, and smart contracts. Evidence was strongest for technical feasibility under simulated, experimental, comparative, or bounded pilot conditions, whereas durable economic, social, and governance outcomes remained less substantiated. Conclusions: Blockchain is most credible in mining contexts when it supports controlled coordination, auditable recordkeeping, and process integrity. Its practical value depends on reliable physical-to-digital data capture, workable governance arrangements, interoperability, and validation under real institutional and operational conditions.
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Open AccessSystematic Review
Reconfigurable Manufacturing Systems: A Systematic Review and Classification Framework with Implications for Supply Chain Resilience
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Evripidis P. Kechagias, Sotiris P. Gayialis, Nikolaos A. Panayiotou and Georgios A. Papadopoulos
Logistics 2026, 10(5), 117; https://doi.org/10.3390/logistics10050117 - 20 May 2026
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Background: Reconfigurable Manufacturing Systems (RMSs) address the deficiencies of previous manufacturing systems with expandable capacity and capability to respond to dynamic demand. While research on RMSs has been ongoing for decades, comprehensive classifications and categorizations of RMS research and their supply chain
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Background: Reconfigurable Manufacturing Systems (RMSs) address the deficiencies of previous manufacturing systems with expandable capacity and capability to respond to dynamic demand. While research on RMSs has been ongoing for decades, comprehensive classifications and categorizations of RMS research and their supply chain implications are sparse. Methods: The PRISMA 2020 guidelines were used for a systematic literature review on the Scopus database covering peer-reviewed publications from 1990 to 2025, and 247 papers were analyzed based on a four-stream classification framework (research scope, industry sectors, type of research, and RMS characteristics) that was inductively derived. Furthermore, a three-level conceptual model connecting RMS characteristics with manufacturing capabilities and supply chain resilience was established. Results: RMS research, particularly post 2020, has seen significant growth. However, RMSs are mainly oriented to heavy industries, while process industries and supply chain implications have been understudied. The dominance of theoretical research over experimental/practical research points to a theory-practice gap. Modularity is the most frequent RMS characteristic, underpinning the others, while diagnosability, despite its operational importance, is the least studied one. Conclusions: RMSs have significant potential as a supply chain resilience enabler through their characteristics. Nevertheless, this relationship is mostly theoretical and untested in practice, requiring interdisciplinary and application-oriented research.
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How Sustainability Practices Translate into Business Performance: The Mediating Role of Traceability Implementation in Food Supply Chain Operations
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Nattakan Jakkranuhwat, Ravipim Chaveesuk and Thanit Puthpongsiriporn
Logistics 2026, 10(5), 116; https://doi.org/10.3390/logistics10050116 - 20 May 2026
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Background: Global food supply chains increasingly require sustainable and transparent operations; however, empirical evidence linking sustainability practices to firm performance remains inconsistent. This study examines how sustainability practices are translated into measurable business performance outcomes through traceability implementation in Thailand’s export-oriented food-processing
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Background: Global food supply chains increasingly require sustainable and transparent operations; however, empirical evidence linking sustainability practices to firm performance remains inconsistent. This study examines how sustainability practices are translated into measurable business performance outcomes through traceability implementation in Thailand’s export-oriented food-processing sector. Methods: Grounded in Stakeholder Theory, traceability implementation was conceptualized as an accountability-oriented operational mechanism enabling the systematic verification of sustainability-related activities. Data were collected from 362 export-oriented food-processing firms in Thailand and analyzed using covariance-based Structural Equation Modeling (SEM). Results: The findings indicate that sustainability practices significantly influence both traceability implementation and business performance, while traceability implementation partially mediates the sustainability–performance relationship. The results further suggest that sustainability practices generate both direct and indirect performance benefits through structured monitoring, documentation, and verification routines. Conclusions: This study demonstrates that sustainability practices become more performance-relevant when institutionalized through traceable and verifiable operational processes. The findings highlight the importance of integrating traceability implementation into sustainability strategies to strengthen transparency, stakeholder confidence, and competitiveness within export-oriented food supply chain contexts.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Downstream Food Waste in Restaurant Supply Chains: Behavioural Drivers and Implications for Sustainable Logistics in a Mediterranean Context
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Maria Karra, Antonia Koumpoti, Marina Saridi and Foivos Anastasiadis
Logistics 2026, 10(5), 115; https://doi.org/10.3390/logistics10050115 - 15 May 2026
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Background: Food waste at the consumption stage creates inefficiencies in food supply chains, with restaurants acting as downstream nodes where consumer behaviour affects operations. This study examines the behavioural drivers of plate waste in restaurants in Greece, within a Mediterranean context, and
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Background: Food waste at the consumption stage creates inefficiencies in food supply chains, with restaurants acting as downstream nodes where consumer behaviour affects operations. This study examines the behavioural drivers of plate waste in restaurants in Greece, within a Mediterranean context, and considers their implications for sustainable logistics. Methods: A cross-sectional online survey was conducted with 228 restaurant consumers in Greece. Data were analysed using descriptive statistics, Spearman’s rank-order correlation, and one-way ANOVA to examine associations between behavioural factors, restaurant type, socio-demographic characteristics, and self-reported food waste frequency. Results: Environmental awareness, intention to reduce food waste, and likelihood of taking leftovers home were negatively associated with self-reported food waste frequency. Perceiving food waste as a serious societal problem was not significantly associated with waste behaviour. Restaurant type had no significant effect, while socio-demographic effects were limited. Conclusions: Consumer-level behavioural factors explain restaurant food waste more consistently than structural restaurant characteristics. Behaviourally informed interventions, including portion flexibility and facilitated leftover retention, may improve both food waste reduction and restaurant efficiency.
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Integrating Efficiency and Priority in Circular Energy Supply Chains: A DEA-Informed BWM Analysis of Second-Life EV Battery Ecosystems in Emerging Economies
by
Ilyas Masudin, Dian Palupi Restuputri, Dwi Iryaning Handayani and Erly Ekayanti Rosyida
Logistics 2026, 10(5), 114; https://doi.org/10.3390/logistics10050114 - 14 May 2026
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Background: The global transition to low-carbon energy systems has intensified the need for circular approaches in energy supply chains, yet studies on second-life EV battery ecosystems in emerging economies remain fragmented between barrier prioritization and efficiency assessment. Methods: This study addresses
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Background: The global transition to low-carbon energy systems has intensified the need for circular approaches in energy supply chains, yet studies on second-life EV battery ecosystems in emerging economies remain fragmented between barrier prioritization and efficiency assessment. Methods: This study addresses this gap by integrating the Best–Worst Method (BWM) and Data Envelopment Analysis (DEA) to connect subjective expert-based prioritization with objective efficiency benchmarking. Using expert panel inputs and scenario-based circular energy configurations representing emerging economy conditions, the results indicate that technical barriers (28.4%) and economic barriers (24.9%) dominate the priority structure, with battery performance uncertainty and high initial investment as the most critical constraints. Results: DEA results show that configurations with formal reverse logistics and certification mechanisms achieve frontier efficiency (θ = 1.000), whereas fragmented informal configurations exhibit the lowest efficiency (θ = 0.712). High-tech configurations with weak regulation demonstrate that technological investment alone is insufficient without institutional development. Conclusions: The novelty lies in developing a context-sensitive BWM–DEA framework that embeds barrier priorities into efficiency evaluation, an approach rarely explored in prior circular supply chain research. The study provides a holistic decision-support tool for policymakers and industry stakeholders seeking to accelerate circular energy transitions in emerging economies.
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Motives for Sustainable Supply Chain Management Practices Adoption Among Established Non-Service Sector Enterprises: A Cross-Country Study
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Oluwafemi Joshua Dele-Ijagbulu and Progress Hove-Sibanda
Logistics 2026, 10(5), 113; https://doi.org/10.3390/logistics10050113 - 13 May 2026
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Background: Although industrialisation of the 20th century advanced economic prosperity, it resulted in significant environmental deterioration and other industrialisation-related deleterious environmental impact. However, extant research has mainly focused on outcomes rather than on the underlying motives for sustainable supply chain management (SSCM)
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Background: Although industrialisation of the 20th century advanced economic prosperity, it resulted in significant environmental deterioration and other industrialisation-related deleterious environmental impact. However, extant research has mainly focused on outcomes rather than on the underlying motives for sustainable supply chain management (SSCM) adoption, while limited studies focus on cross-country evidence from non-service small and medium enterprises (SMEs) in Africa. This study investigates the motives for adopting SSCM practices among SMEs operating in non-service sector-based industries in Ghana, Kenya, Nigeria, and South Africa. Methods: A quantitative approach was employed, drawing on instrumental, relational, and moral theoretical lenses. Data were collected through an online survey of 378 SME owners/managers using purposive and convenience sampling and analysed using comparative statistical techniques. Results: The findings reveal that relational and moral motives are the strongest drivers of SSCM adoption, with moral motives strongest in Ghana and Nigeria, moderate in South Africa, and weakest in Kenya. Significant cross-country differences and a notable motive-adoption gap were identified, highlighting the role of institutional and operational constraints. Conclusions: The study contributes novel cross-country empirical evidence from Africa and highlights the need for context-specific SSCM strategies that strengthen governance and capacity to translate ethical intent into practice.
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Dynamic Resource-Capability View, Agility, and Resilience in Supply Chain: An Organizational Strategy Perspective
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Sudhir Rana and Umesh Bamel
Logistics 2026, 10(5), 112; https://doi.org/10.3390/logistics10050112 - 12 May 2026
Abstract
Background: Research on what promotes agility and resilience in the supply chain from an organizational strategy perspective is limited. This paper profiles the factors that can enable supply chain agility and resilience, with a special emphasis on organizational strategy. Method: Using
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Background: Research on what promotes agility and resilience in the supply chain from an organizational strategy perspective is limited. This paper profiles the factors that can enable supply chain agility and resilience, with a special emphasis on organizational strategy. Method: Using an exploratory approach, the study first identifies the enablers of supply chain agility and resilience and then applies Fuzzy Total Interpretive Structural Modeling (Fuzzy TISM) to rank them. Data were collected from experts using a literature-derived knowledge base. Results: The findings reveal key resource and knowledge-based enablers (Integration, both internal and external; Knowledge Management; Culture for Flexibility, Risk Management, Innovation, Organizational Ambidexterity, Absorptive Capacity, and Collaborative Communication) that strengthen resilience and agility, offering insights into mitigating disruptions caused by macro- and micro-level factors and global interdependencies. Conclusions: The study contributes by exploring the enablers of supply chain agility and resilience through an organizational strategy lens. By applying a rent-yielding mechanism grounded in resource and dynamic capability theories, the study advances theoretical maturity in this domain from an emerging-country context.
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(This article belongs to the Special Issue Logistics and Supply Chain Challenges and Solutions in the Turbulent World)
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Digital Pathways to Efficiency: A Multi-Stakeholder Assessment of Sri Lanka’s Marine Fish Supply Chain Logistics
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Kariyawasam Pinikahana Gamage Lahiru Sandaruwan, Robert Jeyakumar Nathan, Shavindya Laksirini Sumanasekara, Thomas Ntangere and Maria Fekete Farkas
Logistics 2026, 10(5), 111; https://doi.org/10.3390/logistics10050111 - 11 May 2026
Abstract
Background: Studies of fish supply chain efficiency often rely on price spreads or frontier-based measures, which do not fully capture actor-level coordination performance in heterogeneous, informal supply chains. This study addresses this gap by developing a composite Market Efficiency Index (MEI) that
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Background: Studies of fish supply chain efficiency often rely on price spreads or frontier-based measures, which do not fully capture actor-level coordination performance in heterogeneous, informal supply chains. This study addresses this gap by developing a composite Market Efficiency Index (MEI) that integrates financial performance, operational quality, service equity, and relational governance. Methods: The MEI, a multidimensional alternative to frontier-based measures, was developed and applied to data collected from 250 supply chain actors in Sri Lanka. Results: The results show a clear efficiency gradient along the supply chain, with fishers scoring the lowest (MEI = 0.44), intermediaries moderate (MEI = 0.54), and retailers the highest (MEI = 0.67), yielding an overall system efficiency of 0.55 and relational governance emerging as the weakest system-level dimension. These results indicate persistent structural differences in value distribution and in how well the fish supply chain functions as a cohesive network, driven by liquidity constraints, information asymmetry, and weak cold-chain infrastructure. Conclusions: A multidimensional supply chain assessment provides a more effective basis for diagnosing coordination constraints and enables targeted digital interventions that offer feasible pathways to improve transparency, liquidity, and inclusiveness in smallholder-dominated fish supply chains.
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(This article belongs to the Special Issue Logistics and Supply Chain Challenges and Solutions in the Turbulent World)
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Demystifying the Digital Transformation of Humanitarian Supply Chains Through AidTech
by
Apostolos Panagiotopoulos, Vasileios Karyotis, Georgios N. Dimitrakopoulos, Vassiliki Choleva-Tsiringkaki and Panos Kourouthanassis
Logistics 2026, 10(5), 110; https://doi.org/10.3390/logistics10050110 - 9 May 2026
Abstract
Background: Humanitarian campaigns are more popular with more initiatives organized than ever by public and private bodies. Simultaneously, more peculiar challenges, such as zero-waste and transparency, are required compared to traditional supply chains. This work investigates the current technological landscape for shaping
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Background: Humanitarian campaigns are more popular with more initiatives organized than ever by public and private bodies. Simultaneously, more peculiar challenges, such as zero-waste and transparency, are required compared to traditional supply chains. This work investigates the current technological landscape for shaping the next generation of humanitarian aid management systems, focusing on algorithmic and operational aspects, matching them to a new architecture for a target-platform, called AidTech. Methods: The methodology follows a systematic literature coverage, identifying cross-disciplinary trends from operations research, computer science and sustainable logistics. We examine the convergence of optimization, artificial intelligence, and blockchain-enabled traceability toward efficient and transparent humanitarian logistics. The employed methods include adaptive scheduling, resource allocation algorithms and privacy–preserving collaboration for meeting special constraints imposed by the humanitarian scope. Results: The findings focus on the architectural perspective of humanitarian supply chains and highlight that modern humanitarian infrastructures will increasingly rely on hybrid optimization methods integrating graph theory, dynamic routing under stochastic demand, multi-criteria decision analysis and distributed ledger technologies. Conclusions: We conclude that these paradigms, when combined under a unified cyber–physical architecture, e.g., AidTech, can substantially improve responsiveness, equity and sustainability in crisis management, further shaping future humanitarian logistics.
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(This article belongs to the Section Humanitarian and Healthcare Logistics)
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Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan
by
Aizhan Kamysbayeva, Alisher Khussanov, Botagoz Kaldybayeva, Oleksandr Prokhorov, Zhakhongir Khussanov, Aibarsha Dosmakanbetova, Baurzhan Korganbayev and Aikerim Issayeva
Logistics 2026, 10(5), 109; https://doi.org/10.3390/logistics10050109 - 8 May 2026
Abstract
Background: In the context of the digital transformation of transport systems and the increasing complexity of logistics flows, the role of intelligent route forming methods capable of accounting for the spatial structure of transport networks, time constraints and resource limitations is growing.
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Background: In the context of the digital transformation of transport systems and the increasing complexity of logistics flows, the role of intelligent route forming methods capable of accounting for the spatial structure of transport networks, time constraints and resource limitations is growing. This issue is particularly relevant for the Republic of Kazakhstan, which is characterized by a vast territory, a distributed network of transport nodes and significant transit potential. Methods: This article presents an integrated model for the intelligent optimization of freight transportation based on the combined use of the Google OR-Tools library and simulation modeling in the AnyLogic environment with the application of geographic information technologies. The main variants of vehicle routing problems are implemented, including VRPTW, CVRP, and MDVRP. Results: The developed model enables both identification of optimal routes and simulation of their execution in a dynamic environment, forming the basis for a digital twin of the transport system. Experimental studies demonstrate the impact of time constraints, capacity limitations, and spatial structure on routing solutions. Conclusions: The results confirm the effectiveness of the proposed approach for logistics flow distribution in a distributed transport system and its potential for decision support in the digital transport sector.
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(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems, 2nd Edition)
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Dynamic Analysis of the Impact of U.S. Tariff Policies on Automotive Production in Mexico
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Laura Valentina Bocanegra-Villegas, Cuauhtémoc Sánchez-Ramírez and Jorge Luis García-Alcaraz
Logistics 2026, 10(5), 108; https://doi.org/10.3390/logistics10050108 - 7 May 2026
Abstract
Background: A system dynamics model was developed to assess how United States (U.S.) tariff policies impact production, exports, labor, and Gross Domestic Product (GDP) in the Mexican automotive sector. Methods: Beginning with a baseline scenario without tariffs, the model introduces increases
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Background: A system dynamics model was developed to assess how United States (U.S.) tariff policies impact production, exports, labor, and Gross Domestic Product (GDP) in the Mexican automotive sector. Methods: Beginning with a baseline scenario without tariffs, the model introduces increases of up to 25% in exports to the U.S. Additionally, it analyzes a tariff increase alongside variations in demand elasticity (−0.5 to −1.6) over a 24-month period. Results: The results indicate that a 25% tariff leads to a sustained decrease in production, GDP, and exports, although adjustments in employment occur with some delay. Specifically, production volume contracts by 34.9%, and exports contract by 31.3%. Furthermore, a greater absolute elasticity of demand corresponds to a more significant decrease in production. Conclusions: The findings indicate that geographic diversification is not an immediate substitute for the current export structure, as it requires significant logistical, organizational, and capital adjustments. Reducing dependence on the U.S. market would involve reconfiguring supply chain management, diversifying suppliers, and adapting distribution networks to gain greater flexibility. The sector’s vulnerability therefore lies in its high concentration in a single destination market, which restricts production adaptability in Mexico and weakens the capacity to respond efficiently to disruptions in the supply chain.
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(This article belongs to the Section Supplier, Government and Procurement Logistics)
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From IT Capability to Manufacturing Flexibility: The Role of Knowledge Acquisition and Customer–Supplier Integration
by
Pattama Lenuwat
Logistics 2026, 10(5), 107; https://doi.org/10.3390/logistics10050107 - 5 May 2026
Abstract
Background: This study examines how information technology (IT) capability contributes to manufacturing flexibility (MF) through knowledge acquisition (KA) and customer–supplier integration (CSI), drawing on dynamic capability theory. Methods: Survey data were collected from 137 manufacturing firms in Thailand and analyzed using
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Background: This study examines how information technology (IT) capability contributes to manufacturing flexibility (MF) through knowledge acquisition (KA) and customer–supplier integration (CSI), drawing on dynamic capability theory. Methods: Survey data were collected from 137 manufacturing firms in Thailand and analyzed using structural equation modeling to test the proposed relationships. Results: The findings show that IT capability significantly enhances KA, which subsequently strengthens CSI. While IT does not directly influence MF, its effect is transmitted through a sequential pathway in which IT improves KA, KA facilitates CSI, and CSI is the only construct directly associated with MF. These results identify CSI as the central conversion mechanism through which IT-enabled information and externally acquired knowledge are translated into operational adaptability. Conclusions: The study demonstrates that externally acquired knowledge generates value only when embedded in collaborative interorganizational routines, such as joint planning and synchronized decision-making. It further highlights the complementary roles of learning-oriented and integration capabilities in enabling manufacturing flexibility. Managerially, firms should prioritize IT investments that strengthen customer–supplier integration rather than focusing solely on technological sophistication.
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(This article belongs to the Special Issue Advancing Circular Supply Chains: Integrating Logistics, Supply Chain Management and Circular Economy Practices)
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Medical Aesthetics Clinic Location Selection Using SMART Single-Valued Neutrosophic TOPSIS
by
Napat Harnpornchai and Worrawat Saijai
Logistics 2026, 10(5), 106; https://doi.org/10.3390/logistics10050106 - 2 May 2026
Abstract
Background: Location decision plays a key role in strategic logistics and business success. The beauty business in Thailand has continuously grown, and medical aesthetics clinic location is one of the critical factors for business success. The problem is also related to sustainable urban
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Background: Location decision plays a key role in strategic logistics and business success. The beauty business in Thailand has continuously grown, and medical aesthetics clinic location is one of the critical factors for business success. The problem is also related to sustainable urban service accessibility. Methods: This paper presents, for the first time, a systematic selection of medical aesthetics clinic location as a multi-criteria decision-making (MCDM) problem. The Simple Multi-Attribute Rating Technique (SMART) and Single-Valued Neutrosophic TOPSIS (SVN-TOPSIS) are combined to solve the location selection problem. SMART determines criterion weights, whereas SVN-TOPSIS evaluates alternatives using linguistic terms understandable to non-technical decision makers. Results: The proposed SMART SVN-TOPSIS is applied to a real investment problem in which two investors select the best clinic location from five alternatives with nine criteria. Siam Square—the heart of shopping, fashion, and youth culture in Bangkok—is recommended as the top location. Conclusions: The results indicate that the proposed method is capable of generating a consistent ranking of alternatives and differentiating between locations that exhibit similar evaluation characteristics. The findings may also support sustainable urban service planning and healthcare-related facility location decisions.
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(This article belongs to the Section Humanitarian and Healthcare Logistics)
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Artificial Intelligence and Business Analytics Applications in Supply Chain Operations
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