Journal Description
Logistics
Logistics
is an international, scientific, peer-reviewed, open access journal of logistics and supply chain management published quarterly online by MDPI. The first issue has been released in December 2017.
- 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 25.6 days after submission; acceptance to publication is undertaken in 4.9 days (median values for papers published in this journal in the first 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
Digital Planning Tools in Intermodal Transport: Evidence from Poland
Logistics 2025, 9(3), 94; https://doi.org/10.3390/logistics9030094 - 11 Jul 2025
Abstract
Background: The increasing complexity of global supply chains and environmental expectations has highlighted the strategic importance of digital transformation in the transport, forwarding, and logistics (TFL) sector. Despite a growing portfolio of available tools, adoption rates—particularly among small and medium-sized enterprises (SMEs)
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Background: The increasing complexity of global supply chains and environmental expectations has highlighted the strategic importance of digital transformation in the transport, forwarding, and logistics (TFL) sector. Despite a growing portfolio of available tools, adoption rates—particularly among small and medium-sized enterprises (SMEs) in Central and Eastern Europe—remain low. This study investigates the barriers and motivations related to the implementation of digital planning tools supporting intermodal transport planning. Methods: A structured online survey was conducted among 80 Polish TFL enterprises, targeting decision-makers responsible for operational and digital strategies. The questionnaire included 17 closed and semi-open questions grouped into three thematic sections: tool usage, implementation barriers, and digital readiness. Results: The findings indicate that only 20% of respondents use dedicated route planning tools, and merely 10% report satisfaction with their performance. Key barriers include lack of awareness, organizational inertia, and the prioritization of other initiatives, with financial cost cited less frequently. While environmental sustainability is declared as a priority by most enterprises, digital support for emission tracking is limited. The results highlight the need for targeted education, integration support, and differentiated platform functionalities for SMEs and larger firms. Conclusions: This study offers evidence-based recommendations for developers, policymakers, and logistics managers aiming to accelerate digital adoption in the intermodal logistics landscape.
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Open AccessArticle
The Impact of Industry 4.0 Practices on Sustainable Performance in Jordan’s Retail Sector: The Moderating Role of Environmental Dynamism
by
Toqa Amoush and Luay Jum’a
Logistics 2025, 9(3), 93; https://doi.org/10.3390/logistics9030093 - 10 Jul 2025
Abstract
Background: The retail sector in Jordan is adopting Industry 4.0 (I4.0) technologies to enhance efficiency and sustainability. Nevertheless, there is a lack of empirical evidence to inform retail managers regarding the impact of I4.0 adoption on environmental, economic, and social sustainability, particularly
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Background: The retail sector in Jordan is adopting Industry 4.0 (I4.0) technologies to enhance efficiency and sustainability. Nevertheless, there is a lack of empirical evidence to inform retail managers regarding the impact of I4.0 adoption on environmental, economic, and social sustainability, particularly in dynamic contexts. Therefore, this study aims to investigate the impact of Industry 4.0 on the three types of sustainable performance, with the moderating effect of environmental dynamism. Methods: This quantitative study collected data using a cross-sectional survey of 100 retail professionals from large companies that was analyzed using structural equation modeling (SEM) to test the hypotheses. Results: I4.0 practices improved retail environmental, economic, and social sustainability. Additionally, environmental dynamism moderated the relationship between I4.0 and environmental sustainability, suggesting that dynamic environments may reduce the effectiveness of I4.0 technologies in driving environmental performance. Economic and social sustainability had no significant moderating effects. Conclusions: This study examines the sustainability benefits of I4.0 adoption in an unexplored developing economy. It emphasizes the strategic importance of digital transformation for retail sustainability and provides practical recommendations for dynamic markets. The findings support I4.0 technologies role in sustainable growth and lay the groundwork for digital transformation research in emerging markets.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Towards a Concept for a Multifunctional Mobility Hub: Combining Multimodal Services, Urban Logistics, and Energy
by
Jonas Fahlbusch, Felix Fischer, Martin Gegner, Alexander Grahle and Lars Tasche
Logistics 2025, 9(3), 92; https://doi.org/10.3390/logistics9030092 - 10 Jul 2025
Abstract
Background: This paper proposes a conceptual framework for a multifunctional mobility hub (MMH) that co-locates shared e-mobility services, urban logistics, and charging/storage infrastructure within a single site. Aimed at high-density European cities, the MMH model addresses current gaps in both research and practice,
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Background: This paper proposes a conceptual framework for a multifunctional mobility hub (MMH) that co-locates shared e-mobility services, urban logistics, and charging/storage infrastructure within a single site. Aimed at high-density European cities, the MMH model addresses current gaps in both research and practice, where multimodal mobility services, logistics, and energy are rarely planned in an integrated manner. Methods: A mixed-methods approach was applied, including a systematic literature review (PRISMA), expert interviews, case studies, and a stakeholder workshop, to identify synergies across fleet types and operational domains. Results: The analysis reveals key design principles for MMHs, such as interoperable charging, the functional separation of passenger and freight flows, and modular, scalable infrastructure adapted to urban constraints. Conclusions: The MMH serves as a preliminary concept for planning next-generation mobility stations. It offers qualitative insights for urban planners, operators, and policymakers into how multifunctional hubs may support lower emissions, more efficient operations, and shared infrastructure use.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Open AccessArticle
Fleet Coalitions: A Collaborative Planning Model Balancing Economic and Environmental Costs for Sustainable Multimodal Transport
by
Anna Laura Pala and Giuseppe Stecca
Logistics 2025, 9(3), 91; https://doi.org/10.3390/logistics9030091 - 10 Jul 2025
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Background: Sustainability is a critical concern in transportation, notably in light of governmental initiatives such as cap-and-trade systems and eco-label regulations aimed at reducing emissions. In this context, collaborative approaches among carriers, which involve the exchange of shipment requests, are increasingly recognized as
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Background: Sustainability is a critical concern in transportation, notably in light of governmental initiatives such as cap-and-trade systems and eco-label regulations aimed at reducing emissions. In this context, collaborative approaches among carriers, which involve the exchange of shipment requests, are increasingly recognized as effective strategies to enhance efficiency and reduce environmental impact. Methods: This research proposes a novel collaborative planning model for multimodal transport designed to minimize the total costs associated with freight movements, including both transportation and emissions costs. Transshipments of freight between vehicles are modeled in the proposed formulation, promoting carrier coalitions. This study incorporated eco-labels, representing different emission ranges, to capture shipper sustainability preferences and integrated authority-imposed low-emission zones as constraints. A bi-objective approach was adopted, combining transportation and emission costs through a weighted sum method. Results: A case study on the Naples Bypass network (Italy) is presented, highlighting the model’s applicability in a real-world setting and demonstrating the effectiveness of collaborative transport planning. In addition, the model quantified the benefits of collaboration under low-emission zone (LEZ) constraints, showing notable reductions in both total costs and emissions. Conclusions: Overall, the proposed approach offers a valuable decision support tool for both carriers and policymakers, enabling sustainable freight transportation planning.
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Open AccessArticle
A Decision-Oriented Framework for Sustainable Supply Chain Redesign: A DEMATEL-Based Approach
by
Iuliana Grecu, Roxana-Mariana Nechita, Flavia-Petruța-Georgiana Stochioiu, Oliver Ulerich, Corina-Ionela Dumitrescu and Cozmin Cristoiu
Logistics 2025, 9(3), 90; https://doi.org/10.3390/logistics9030090 - 8 Jul 2025
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Background: Emerging economies face a strategic imperative to transform their supply chains, aiming for economic resilience, environmental responsibility, and social inclusivity. Methods: This study, employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, identified and prioritized key drivers for this sustainable transformation. Results:
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Background: Emerging economies face a strategic imperative to transform their supply chains, aiming for economic resilience, environmental responsibility, and social inclusivity. Methods: This study, employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, identified and prioritized key drivers for this sustainable transformation. Results: Expert input from supply chain professionals in various industrial sectors revealed five critical factors: top management commitment, stakeholder engagement, regulatory alignment, technological capability, and internal integration. Notably, technological capability and internal integration emerged as the most influential causal drivers, acting as crucial enablers for deeper, systemic change. These findings offer actionable insights for decision-makers in designing more effective transition strategies for logistics and supply chain systems, especially amidst rapid industrialization and escalating sustainability pressures. Conclusions: This research significantly contributes to the growing literature on strategic supply chain redesign, providing practical guidance for firms navigating sustainability transitions within complex, resource-constrained environments.
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Open AccessArticle
A Decision Analysis Framework for the Identification and Performance Preservation of Strategic Products in the Supply Chain
by
Fatemeh Abbasnia, Mostafa Zandieh, Farzad Bahrami and Pourya Pourhejazy
Logistics 2025, 9(3), 89; https://doi.org/10.3390/logistics9030089 - 1 Jul 2025
Abstract
Background: This study develops a decision-making framework for the identification and performance preservation of strategic products using a non-parametric analysis of items within the product portfolio. Methods: Data Envelopment Analysis (DEA) and the sensitivity analysis of Inverted Data Envelopment Analysis (IDEA)
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Background: This study develops a decision-making framework for the identification and performance preservation of strategic products using a non-parametric analysis of items within the product portfolio. Methods: Data Envelopment Analysis (DEA) and the sensitivity analysis of Inverted Data Envelopment Analysis (IDEA) are adapted to explore a new application area in growth product management. A field study from the retail sector of a developing economy is conducted to evaluate the method’s practicality. Results: This study suggests that the power of suppliers, product shelf life, and the ratio of sales to inventory are important supply chain considerations in identifying strategic products accommodated in Slow-Moving Consumer Goods (SMCG) supply chains. Conclusions: The field study shows that sensitivity analysis, in the new application area, provides insights for the identification and performance preservation of strategic items in a product portfolio. Data-driven solutions tailored to the operational needs of the case company and its different product categories conclude this article..
Full article
(This article belongs to the Section Supplier, Government and Procurement Logistics)
Open AccessArticle
The Role of Walkability in Shaping Shopping and Delivery Services: Insights into E-Consumer Behavior
by
Leise Kelli de Oliveira, Rui Colaço, Gracielle Gonçalves Ferreira de Araújo and João de Abreu e Silva
Logistics 2025, 9(3), 88; https://doi.org/10.3390/logistics9030088 - 1 Jul 2025
Abstract
Background: As e-commerce expands and delivery services diversifies, understanding the factors that shape consumer preferences becomes critical to designing efficient and sustainable urban logistics. This study examines how perceived walkability influences consumers’ preferences for shopping channels (in-store or online) and delivery methods
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Background: As e-commerce expands and delivery services diversifies, understanding the factors that shape consumer preferences becomes critical to designing efficient and sustainable urban logistics. This study examines how perceived walkability influences consumers’ preferences for shopping channels (in-store or online) and delivery methods (home delivery versus pickup points). Method: The analysis is based on structural equation modeling and utilizes survey data collected from 444 residents of Belo Horizonte, Brazil. Results: The findings emphasize the importance of walkability in supporting weekday store visits, encouraging pickup for online purchases and fostering complementarity between different modes of purchase and delivery services. Perceived walkability positively affects the preference to buy in physical stores and increases the likelihood of using pickup points. Educated men, particularly those living in walkable areas, are the most likely to adopt pickup services. In contrast, affluent individuals and women are less likely to forgo home delivery in favor of pickup points. Conclusions: The results highlight the role of perceived walkability in encouraging in-person pickup as a sustainable alternative to home delivery, providing practical guidance for retailers, urban planners, and logistics firms seeking to align consumer convenience with sustainable delivery strategies.
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(This article belongs to the Special Issue Multi-Criteria Decision-Making and Its Application in Sustainable Smart Logistics—2nd Edition)
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Open AccessFeature PaperArticle
Influence of Supply Chain Ambidexterity on Supply Chain Sustainability: The Mediating Role of Green Product Innovation
by
Luay Jum’a, Ahmed Adnan Zaid and Mohammed Othman
Logistics 2025, 9(3), 87; https://doi.org/10.3390/logistics9030087 - 1 Jul 2025
Abstract
Background: This study conceptualizes supply chain ambidexterity through two capabilities, supply chain adaptability and agility. Accordingly, it investigates the impact of supply chain adaptability and agility on green product innovation (GPI) and supply chain sustainability in Jordanian manufacturing firms. It also examines
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Background: This study conceptualizes supply chain ambidexterity through two capabilities, supply chain adaptability and agility. Accordingly, it investigates the impact of supply chain adaptability and agility on green product innovation (GPI) and supply chain sustainability in Jordanian manufacturing firms. It also examines the mediating role of GPI in these relationships. The study is based on dynamic capabilities theory (DCT) as the theoretical foundation. Methods: A quantitative research approach was employed, with data collected from 346 supply chain managers using a structured questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for analysis. Results: The findings reveal that supply chain adaptability does not directly influence sustainability but significantly enhances GPI, which positively impacts sustainability. Supply chain agility, however, directly and significantly improves both GPI and sustainability, highlighting its importance in achieving sustainable supply chain performance. Additionally, GPI mediates the relationship between supply chain ambidexterity and sustainability, reinforcing its role as a key enabler of eco-friendly supply chain management. These findings provide theoretical and managerial implications. Conclusions: The study extends DCT by confirming the role of GPI in linking supply chain ambidexterity to sustainability. Managers should prioritize agility, invest in sustainable products, and adopt green practices to enhance competitiveness.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Open AccessSystematic Review
Mapping the Landscape of Blockchain for Transparent and Sustainable Supply Chains: A Bibliometric and Thematic Analysis
by
Félix Díaz, Rafael Liza and Nhell Cerna
Logistics 2025, 9(3), 86; https://doi.org/10.3390/logistics9030086 - 30 Jun 2025
Abstract
Background: The increasing complexity of global supply chains has intensified the demand for transparency, traceability, security, and sustainability in logistics and operations. Blockchain technology enables decentralized, immutable frameworks that improve data integrity, automate transactions via smart contracts, and integrate seamlessly with the IoT
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Background: The increasing complexity of global supply chains has intensified the demand for transparency, traceability, security, and sustainability in logistics and operations. Blockchain technology enables decentralized, immutable frameworks that improve data integrity, automate transactions via smart contracts, and integrate seamlessly with the IoT and AI. Methods: This bibliometric review analyzes 559 peer-reviewed publications retrieved from Scopus and Web of Science using a PRISMA-guided protocol. Data were processed with Bibliometrix and Biblioshiny to examine scientific production, contributing institutions, author countries, collaboration patterns, thematic clusters, and keyword evolution. Results: The analysis reveals a 400% increase in publications after 2020, with China, India, and the USA leading in output but with limited international collaboration. Keyword co-occurrence and thematic mapping reveal dominant topics, including smart contracts, food supply chain traceability, and sustainability, as well as emerging themes such as decentralization, privacy, and the circular economy. Conclusions: The field is marked by interdisciplinary growth, yet it remains thematically and geographically fragmented. This review maps the intellectual structure of blockchain-enabled sustainable supply chains, offering insights for policymakers, developers, and industry leaders and outlining future research avenues centered on global cooperation, platform efficiency, and ethical and regulatory dimensions.
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(This article belongs to the Special Issue Current & Emerging Trends to Achieve Sustainable Supply Trends)
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Open AccessArticle
Managing Home Healthcare System Using Capacitated Vehicle Routing Problem with Time Windows: A Case Study in Chiang Mai, Thailand
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Sirilak Phonin, Chulin Likasiri, Radom Pongvuthithum and Kornphong Chonsiripong
Logistics 2025, 9(3), 85; https://doi.org/10.3390/logistics9030085 - 28 Jun 2025
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Background: The Vehicle Routing Problem with Time Windows (VRPTW) has been extensively researched due to its applicability across various real-world domains, including logistics, healthcare, and distribution systems. With the global elderly population projected to continue increasing, the demand for home healthcare (HHC)
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Background: The Vehicle Routing Problem with Time Windows (VRPTW) has been extensively researched due to its applicability across various real-world domains, including logistics, healthcare, and distribution systems. With the global elderly population projected to continue increasing, the demand for home healthcare (HHC) services is also on the rise. This work focuses on a specific application within an HHC system, aiming to minimize the total completion time for a fleet of vehicles delivering healthcare services to patients at home. Methods: We propose a mathematical model for the VRPTW, targeting a reduction in both customer and server waiting times on each route and seeking to decrease the total completion time. Our proposed algorithm employs a tabu search to narrow the search space, leveraging a greedy algorithm to establish the tabu list. Results: Our experimental results, based on Solomon’s benchmark datasets, demonstrate that the proposed algorithms achieve optimal solutions, particularly in minimizing total completion time compared to traditional methods, in a case study involving 400 customers where vehicles’ hours are restricted to align with caregivers’ average daily working hours. Conclusions: Our algorithm resulted in a 59% reduction in the number of vehicles required compared to the most recent algorithms, which combine k-mean clustering and local search.
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Open AccessArticle
Container Traffic in the Colombian Caribbean: A Competitiveness Analysis of the Port of Santa Marta Through a Technical–Economic Combination Framework
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Adriana del Socorro Pabón Noguera, María del Mar Cerbán Jiménez and Juan Jesús Ruiz Aguilar
Logistics 2025, 9(3), 84; https://doi.org/10.3390/logistics9030084 - 27 Jun 2025
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Background: The Port of Santa Marta, located on Colombia’s northern Caribbean coast, plays a vital role in the country’s maritime trade, particularly in the export of agricultural and perishable goods. This raises the question: how competitive is Santa Marta’s container terminal compared to
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Background: The Port of Santa Marta, located on Colombia’s northern Caribbean coast, plays a vital role in the country’s maritime trade, particularly in the export of agricultural and perishable goods. This raises the question: how competitive is Santa Marta’s container terminal compared to national and regional ports, and what strategic factors shape its performance within the Colombia and Latin American maritime logistics system? Methods: This study evaluates the port’s competitiveness by applying Porter’s Extended Diamond Model. A mixed-methods ap-proach was employed, combining structured surveys and interviews with port stakeholders and operational data analysis. A competitiveness matrix was developed and examined using standardized residuals and L1 regression to identify critical performance gaps and strengths. Results: The analysis reveals several competitive advantages, including the port’s strategic location, natural deep-water access, and advanced infrastructure for refrigerated cargo. It also benefits from skilled labour and proximity to global shipping routes, such as the Panama Canal. Nonetheless, challenges remain in storage capacity, limited road connectivity, and insufficient public investment in hinterland infrastructure. Conclusions: While the Port of Santa Marta shows strong maritime capabilities and spe-cialized services, addressing its land-side and institutional constraints is essential for positioning it as a resilient, competitive logistics hub in the Latin American and Caribbean region.
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Open AccessArticle
Optimizing Cargo Securing Layouts on General Cargo Ships Using Lashing Lines Through Comparison of International Maritime Standards
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José M. Pérez-Canosa, Will van’t Hek, M. Natividad López López and José A. Orosa
Logistics 2025, 9(3), 83; https://doi.org/10.3390/logistics9030083 - 26 Jun 2025
Abstract
Background: The cargo stowage and securing plan for non-standardized cargo is vital for ensuring safety at sea, as improper placement or inadequate lashing can compromise maritime transport safety. Due to the diverse size and type of cargo, efficient planning is also essential
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Background: The cargo stowage and securing plan for non-standardized cargo is vital for ensuring safety at sea, as improper placement or inadequate lashing can compromise maritime transport safety. Due to the diverse size and type of cargo, efficient planning is also essential to optimize space utilization and improve the economic performance of general cargo vessels. Methods: This paper presents a novel methodology to identify the optimal cargo securing layout using lashing lines that comply with international standards while minimizing deck space usage. A comparative analysis of two major securing guidelines was conducted to determine the stricter and safer standard. Results: The optimization approach was validated with real-world case studies, revealing the most effective securing configurations. These are defined by the optimal combination of vertical and horizontal lashing angles, which secure cargo in any stowage position by balancing longitudinal and transverse forces while minimizing occupied deck area. Additionally, novel graphs and 3D maps are introduced to illustrate the relationships between key securing parameters. Conclusions: The obtained results and the visual tools enhance understanding and provide practical support for lashing planners, facilitating safer and more efficient cargo securing decisions.
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(This article belongs to the Section Maritime and Transport Logistics)
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Open AccessArticle
A Novel Approach Based on IoT and Log-Normal Distribution for Supplier Lead Time Optimization in Smart Engineer-to-Order Supply Chains
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Aicha Alaoua and Mohammed Karim
Logistics 2025, 9(3), 82; https://doi.org/10.3390/logistics9030082 - 25 Jun 2025
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Background: In Engineer-to-Order (EtO) supply chains, managing supplier lead times is particularly challenging due to high customization and intensive customer involvement. This study addresses the critical need for more accurate and dynamic lead time prediction to enhance supply chain resilience and efficiency
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Background: In Engineer-to-Order (EtO) supply chains, managing supplier lead times is particularly challenging due to high customization and intensive customer involvement. This study addresses the critical need for more accurate and dynamic lead time prediction to enhance supply chain resilience and efficiency in EtO environments. Methods: We propose a novel approach that integrates Internet of Things (IoT) technologies with statistical modeling using the log-normal distribution to model and optimize supplier lead times, especially for customized raw materials. The model incorporates real-time data from IoT-enabled suppliers and considers long-term contractual relationships to reduce variability. Monte Carlo simulation is employed to validate the model’s predictive capabilities. Results: The results demonstrate significant improvements in predicting supplier performance and reducing uncertainty. Simulation outputs reveal reductions in lead times and enhanced reliability. Statistical metrics such as the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) confirm the robustness and accuracy of the predictions. Conclusions: The proposed methodology supports better decision-making in supplier selection and procurement planning by enabling effective risk management. It contributes to improved performance and greater resilience in Engineer-to-Order supply chains.
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Open AccessReview
Location–Routing Problems with Sustainability and Resilience Concerns: A Systematic Review
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Bruna Figueiredo, Rui Borges Lopes and Amaro de Sousa
Logistics 2025, 9(3), 81; https://doi.org/10.3390/logistics9030081 - 24 Jun 2025
Abstract
Background: Location and distribution decisions are key to efficient logistics network design and are often addressed in an integrated manner as Location–Routing Problems (LRPs). Today, sustainability and resilience must be considered when designing competitive networks. This systematic review examines how and at
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Background: Location and distribution decisions are key to efficient logistics network design and are often addressed in an integrated manner as Location–Routing Problems (LRPs). Today, sustainability and resilience must be considered when designing competitive networks. This systematic review examines how and at what decision level both concerns are explored in LRPs, highlighting trends and future research challenges. Methods: A search was conducted in the Scopus database on 3 January 2024. Articles not written in English or lacking a sustainability or resilience focus were excluded. The 36 most-cited articles were selected and analyzed descriptively and theoretically, considering their approaches to sustainability and resilience, as well as the decision levels at which these approaches were considered. The studies were also analyzed based on model features and solving approaches. Results: Our findings indicated that social sustainability was the most neglected. The environmental pillar was often focused on minimizing atmospheric pollution from distribution. Regarding resilience, proactive and reactive strategies were employed to minimize disruption costs and risks and maximize network reliability. Conclusions: Research on sustainable and resilient LRPs is growing, but remains fragmented. Future studies should explore the integration of social impacts, uncertainty modeling, and real-world applications. Stronger alignment with decision maker needs and more holistic evaluation frameworks are essential to support resilient and sustainable network design.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Open AccessArticle
Integrated Economic and Environmental Dimensions in the Strategic and Tactical Optimization of Perishable Food Supply Chain: Application to an Ethiopian Real Case
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Asnakech Biza, Ludovic Montastruc, Stéphane Negny and Shimelis Admassu Emire
Logistics 2025, 9(3), 80; https://doi.org/10.3390/logistics9030080 - 23 Jun 2025
Abstract
Background: The agri-food sector is a major contributor to environmental degradation and emissions, highlighting the need for sustainable practices to mitigate its impact. Within this sector, perishable food crops require targeted efforts to reduce their environmental footprint. Vertical integration is crucial for ensuring
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Background: The agri-food sector is a major contributor to environmental degradation and emissions, highlighting the need for sustainable practices to mitigate its impact. Within this sector, perishable food crops require targeted efforts to reduce their environmental footprint. Vertical integration is crucial for ensuring alignment between strategic and tactical decision making in supply chain management. This article presents a multi-objective mathematical model that integrates both economic and environmental considerations within the perishable food supply chain, aiming to determine optimal solutions for conflicting objectives. Methods: In this research, we employed combining goal programming with the epsilon constraint approach; this comprehensive methodology reveals optimal solutions by discretizing the values derived from the payoff table. Results: The model is applied to a real case study of the tomato paste supply chain in Ethiopia. To identify Pareto-efficient points, the results are presented in two scenarios: Case I and Case II. Conclusions: The findings emphasize the significant influence of the geographical location of manufacturing centers in supplier selection, which helps optimize the trade-off between environmental impact and total cost. The proposed solution provides decision makers with an effective strategy to optimize both total cost and eco-costs in the design of perishable food supply chain networks.
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(This article belongs to the Section Sustainable Supply Chains and Logistics)
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Open AccessArticle
Risk-Based Optimization of Multimodal Oil Product Operations Through Simulation and Workflow Modeling
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Catalin Popa, Ovidiu Stefanov, Ionela Goia and Dinu Atodiresei
Logistics 2025, 9(3), 79; https://doi.org/10.3390/logistics9030079 - 20 Jun 2025
Abstract
Background: The transportation of petroleum products via multimodal logistics systems is a complex process subject to operational inefficiencies and elevated risk exposure. The efficient and resilient transportation of petroleum products increasingly depends on multimodal logistics systems, where operational risks and process inefficiencies
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Background: The transportation of petroleum products via multimodal logistics systems is a complex process subject to operational inefficiencies and elevated risk exposure. The efficient and resilient transportation of petroleum products increasingly depends on multimodal logistics systems, where operational risks and process inefficiencies can significantly impact safety and performance. This study addresses the research question of how an integrated risk-based and workflow-driven approach can enhance the management of oil products logistics in complex port environments. Methods: A dual methodological framework was applied at the Port of Midia, Romania, combining a probabilistic risk assessment model, quantifying incident probability, infrastructure vulnerability, and exposure, with dynamic business process modeling (BPM) using specialized software. The workflow simulation replicated real-world multimodal oil operations across maritime, rail, road, and inland waterway segments. Results: The analysis identified human error, technical malfunctions, and environmental hazards as key risk factors, with an aggregated major incident probability of 2.39%. BPM simulation highlighted critical bottlenecks in customs processing, inland waterway lock transit, and road tanker dispatch. Process optimizations based on simulation insights achieved a 25% reduction in operational delays. Conclusions: Integrating risk assessment with dynamic workflow modeling provides an effective methodology for improving the resilience, efficiency, and regulatory compliance of multimodal oil logistics operations. This approach offers practical guidance for port operators and contributes to advancing risk-informed logistics management in the petroleum supply chain.
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(This article belongs to the Special Issue Investment, Risk, and Sustainability in Maritime Logistics and Supply Chain)
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Open AccessArticle
Business Resilience as a Mediator in the Link Between Digital Logistics Strategies and Competitive Advantage: Insights from Emerging Markets
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Ali F. Dalain, Abdulrahman Al-Karabsheh, Mahmoud Izzat Allahham, Wasef Ibrahim Almajali, Mohammad Ali Yousef Yamin and Thair M. Habboush
Logistics 2025, 9(3), 78; https://doi.org/10.3390/logistics9030078 - 20 Jun 2025
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Background: The mediating effect of business resilience in the association between digital logistics strategy and competitive advantage is investigated in emerging markets. Given current global events, digital logistics is more than merely a competitive advantage for firms looking for stability and sustainability. Based
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Background: The mediating effect of business resilience in the association between digital logistics strategy and competitive advantage is investigated in emerging markets. Given current global events, digital logistics is more than merely a competitive advantage for firms looking for stability and sustainability. Based on the Resource-Based View (RBV), the research aims to explore how digital strategies promote resilience and performance outcomes, particularly for SMEs in turbulent environments. Methods: They used mixed methods. The quantitative data were obtained from 227 Jordanian SMEs using a structured survey, and the qualitative data were from 10 semi-structured interviews with experts in logistics and marketing. Hypothesized relationships were tested through Partial Least Squares-Structural Equation Modeling (PLS-SEM) and qualitative validation through Thematic Analysis. Results: The results reveal that business resilience is a potent mediator between digital logistics strategies and competitive advantage. Both content marketing and social media marketing contribute to the enhancement of sustainable performance and to decreasing levels of market volatility. Email also has an impact on the sustainability, but does not directly or indirectly affect the volatility. Sustainable performance is thus confirmed to be a major factor for market stability. Conclusions: The findings emphasize the need for resilience-based digital logistics strategies for SMEs in developing economies. Well-directed content and social media marketing support both sustainability and competitive advantage. These findings offer managerial implications for the development of adaptive capacities to achieve long-term performance objectives in uncertain environments.
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Open AccessArticle
Examining the Application Possibilities and Economic Issues of an Alternative Drive Chain in Hungary: Scenario Analysis
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Adrienn Boldizsár, Ádám Török and Norina Szander
Logistics 2025, 9(2), 77; https://doi.org/10.3390/logistics9020077 - 19 Jun 2025
Abstract
Background: A societal shift in attitudes is going to be required to reduce greenhouse gas emissions in the field of transportation, which is crucial to the level of mitigation that can be achieved. There is increasing pressure on policymakers to address climate
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Background: A societal shift in attitudes is going to be required to reduce greenhouse gas emissions in the field of transportation, which is crucial to the level of mitigation that can be achieved. There is increasing pressure on policymakers to address climate change and, in turn, to promote sustainable transport. The sector’s decarbonization is essential to meet climate change targets, and alternative powertrains, particularly battery electric trucks, can play a key role. However, international research shows that the solutions and strategic plan proposals are primarily developed in isolation according to the country’s specific conditions. Methods: This study aims to compare battery electric trucks and conventional internal combustion engine trucks in Hungary, focusing on the total cost of ownership over ten years. Results: This study examines the cost parameters for operating electric and conventional trucks, based on current economic conditions. In addition, alternative studies have been carried out to see what additional savings can be expected by changing the parameters under consideration. This research examines four scenarios that model changes in state subsidies, tolls, and excise duties alongside current cost parameters. Conclusions: The results suggest that public policy interventions play a key role in developing sustainable transport systems, particularly to preserve the competitiveness of small and medium-sized enterprises.
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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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Open AccessArticle
Mapping Decision-Making Structures in Supply Chain Contexts: A Fuzzy DEMATEL Approach
by
Claudemir Leif Tramarico, Aneirson Francisco Da Silva and José Eduardo Holler Branco
Logistics 2025, 9(2), 76; https://doi.org/10.3390/logistics9020076 - 16 Jun 2025
Abstract
Background: Effective decision-making in supply chain contexts requires understanding how criteria interact to shape rational and transparent decision structures. This study investigates how behavioral aspects influence the structuring of decision-making logic and the interdependencies between key criteria in supply chain contexts. Methods: Using
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Background: Effective decision-making in supply chain contexts requires understanding how criteria interact to shape rational and transparent decision structures. This study investigates how behavioral aspects influence the structuring of decision-making logic and the interdependencies between key criteria in supply chain contexts. Methods: Using Fuzzy DEMATEL, the research models the interactions between five core criteria —classification, definition, specification, decision, and action feedback—based on inputs from experienced professionals in a global chemical company. The approach enables mapping of causal influences while accounting for subjectivity and uncertainty in expert judgments. Results: The analysis identified specification, definition, and action feedback as causal criteria, with classification and decision being primarily influenced by them. The modeling process supported clearer prioritization and revealed how expert-based interactions can reduce decision biases. Conclusions: This study demonstrates how structuring decision-making logic through causal modeling enhances clarity and reduces subjectivity. The findings contribute to the development of decision support tools applicable across strategic supply chain contexts, offering practical implications for professionals seeking to improve decision transparency and effectiveness.
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(This article belongs to the Special Issue Multi-Criteria Decision-Making and Its Application in Sustainable Smart Logistics—2nd Edition)
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Enhancing Customer Experience Through IIoT-Driven Coopetition: A Service-Dominant Logic Approach in Networks
by
Agostinho antunes da Silva and Antonio J. Marques Cardoso
Logistics 2025, 9(2), 75; https://doi.org/10.3390/logistics9020075 - 13 Jun 2025
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Background: In an increasingly digitized supply chain landscape, small and medium-sized enterprises (SMEs) face mounting challenges in regard to delivering differentiated and responsive customer experiences. This study investigates the role of Industrial Internet of Things-enabled coopetition networks (IIoT-CNs) in enhancing the customer
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Background: In an increasingly digitized supply chain landscape, small and medium-sized enterprises (SMEs) face mounting challenges in regard to delivering differentiated and responsive customer experiences. This study investigates the role of Industrial Internet of Things-enabled coopetition networks (IIoT-CNs) in enhancing the customer experience and value cocreation among SMEs. Grounded in Service-Dominant Logic, this research explores how interfirm collaboration and real-time data integration influence key performance indicators (KPIs), including perceived product quality, delivery timeliness, packaging standards, and product performance. Methods: An experimental design involving SMEs in Portugal’s ornamental stone sector contrasts traditional operations with digitally integrated coopetition practices. Results: While individual KPI improvements were not statistically significant, regression analysis revealed a significant positive relationship between IIoT-CN participation and the overall customer experience. The reduced variance in the performance metrics further suggests increased consistency and reliability across the network. Conclusions: These findings highlight IIoT-CNs as a promising model for SME digital transformation, contingent on trust, interoperability, and collaborative governance. This study contributes empirical evidence and practical insights for advancing customer-centric innovation in SME-dominated supply chains.
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