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 28.5 days after submission; acceptance to publication is undertaken in 5.6 days (median values for papers published in this journal in the second half of 2024).
- Journal Rank: JCR - Q2 (Operations Research and Management Science) / CiteScore - Q1 (Management Information Systems)
- 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 (2023);
5-Year Impact Factor:
3.7 (2023)
Latest Articles
A Strategic Pathway to Green Digital Shipping
Logistics 2025, 9(2), 68; https://doi.org/10.3390/logistics9020068 (registering DOI) - 27 May 2025
Abstract
Background: The maritime industry is undergoing a profound transformation to meet global decarbonization goals. As Industry 4.0 advanced digital technologies are increasingly integrated into shipping operations, the role of the human element is evolving significantly. This intersection of decarbonization, digitalization, and human element/workforce
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Background: The maritime industry is undergoing a profound transformation to meet global decarbonization goals. As Industry 4.0 advanced digital technologies are increasingly integrated into shipping operations, the role of the human element is evolving significantly. This intersection of decarbonization, digitalization, and human element/workforce transformation lays the foundation for more structured initiatives such as Green Digital Shipping Corridors (GDSCs), a strategic solution to scale zero-emission, smart maritime routes. Methods: This paper explores the interconnected roles of decarbonization, digitalization, and human capital development through a systematic literature review. It examines how these pillars converge in the implementation of GDSCs, drawing on academic and industry sources to identify challenges and opportunities in workforce readiness, policy integration, and technological adoption. Results: The findings underscore the necessity of coordinated action across the three pillars, particularly highlighting the importance of structured training programs, cross-sector collaboration, and standardized regulations. GDSCs are presented as an applied framework to align these transitions, enabling scalable, digitally enabled, low-emission maritime routes. Conclusions: There is a significant gap in current research that holistically connects the human factor with technological and environmental imperatives in the context of maritime transformation. This paper addresses that gap by introducing GDSCs as a strategic outcome of integrated change, providing actionable insights for policymakers, industry leaders, and educators aiming to advance sustainable shipping.
Full article
(This article belongs to the Section Maritime and Transport Logistics)
Open AccessArticle
The Gamma Distribution and Inventory Control: Disruptive Lead Times Under Conventional and Nonclassical Conditions
by
John E. Tyworth
Logistics 2025, 9(2), 67; https://doi.org/10.3390/logistics9020067 (registering DOI) - 27 May 2025
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Background: Foundational research on the gamma distribution and inventory control highlighted its flexibility and practicality for managing fast-moving finished goods. Nonetheless, concerns remain about conventional statistical approximations of lead-time demand (LTD) distributions. Real-world lead times often result in nonstandard LTD forms, and
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Background: Foundational research on the gamma distribution and inventory control highlighted its flexibility and practicality for managing fast-moving finished goods. Nonetheless, concerns remain about conventional statistical approximations of lead-time demand (LTD) distributions. Real-world lead times often result in nonstandard LTD forms, and traditional methods may introduce parameter mismatches under nonclassical conditions. Despite these challenges, this research demonstrates that a gamma LTD approximation is an effective method for managing these goods. Methods: This study employs numerical experiments to assess accuracy at high service levels, focusing on errors in system cost and product availability. Three propositions are validated: (1) a standard distribution generally characterizes the demands of fast-moving items; (2) demand variability systematically modifies the form of nonstandard LTD distributions, enhancing accuracy; (3) nonclassical conditions generally improve the accuracy of properly parameterized gamma approximations. A purposive sample of disruptive lead-time distributions found in global maritime supply chains drives numerical experiments. Results: Externally validated evidence provides the following findings within our study context: (1) a nonstandard lead-time distribution does not necessarily result in a similar LTD distribution, as it also depends on demand variability; (2) demand variability positively affects the form of a nonstandard LTD distribution under conventional conditions, with nonclassical conditions enhancing this effect; (3) the shape transformations almost always improve the accuracy of a gamma approximation. Conclusions: A gamma LTD approximation can manage inventory for fast-moving finished goods effectively, even with disruptive lead times under both conventional and nonclassical conditions.
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Open AccessArticle
Optimizing Resilient Sustainable Citrus Supply Chain Design
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Sherin Bishara, Nermine Harraz, Hamdy Elwany and Hadi Fors
Logistics 2025, 9(2), 66; https://doi.org/10.3390/logistics9020066 (registering DOI) - 27 May 2025
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Background: Growing environmental concerns and the vulnerability of global supply chains to disruptions, such as pandemics, natural disasters, and logistical failures, necessitate the design of sustainable and resilient supply chains. Methods: A novel multi-period mixed-integer linear programming model is developed with the objective
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Background: Growing environmental concerns and the vulnerability of global supply chains to disruptions, such as pandemics, natural disasters, and logistical failures, necessitate the design of sustainable and resilient supply chains. Methods: A novel multi-period mixed-integer linear programming model is developed with the objective of maximizing supply chain profit to design a complete citrus supply chain, which incorporates the production of citrus fruit and juice, and accommodates resilience and sustainability perspectives. Results: A comprehensive citrus supply chain scenario is presented to support the applicability of the proposed model, leveraging real data from citrus supply chain stakeholders in Egypt. Moreover, an actual case study involving a citrus processing company in Egypt is demonstrated. Gurobi software is used to solve the developed model. To build a resilient supply chain which can cope with different disruptions, different scenarios are modeled and strategies for having multiple suppliers, backup capacity, and alternative logistics routes are evaluated. Conclusions: The findings underscore the critical role of resilience in supply chain management, particularly in the agri-food sector. Moreover, the proposed model not only maximizes supply chain profitability but also equips stakeholders with the tools necessary to navigate challenges effectively.
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Open AccessArticle
Who Is the Customer? On Multiple-Customer Representation in Supply Chains
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Benedikte Borgström, Luis Araujo and Susanne Hertz
Logistics 2025, 9(2), 65; https://doi.org/10.3390/logistics9020065 - 26 May 2025
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Background: Customer orders are key in developing logistics processes and in strategic developments of customer orientation. This paper investigates the notion of customer orientation. In the literature, the concept of customer is underdeveloped in that it is seen as a single object
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Background: Customer orders are key in developing logistics processes and in strategic developments of customer orientation. This paper investigates the notion of customer orientation. In the literature, the concept of customer is underdeveloped in that it is seen as a single object rather than how it is enacted in multiple ways. The study examines a customer-oriented production process managed in the supply chain of an automotive manufacturer. Methods: Based on a longitudinal study we explain what constitutes customer knowledge and what processes are involved in constructing this knowledge. Results: The study shows that in a supply chain, multiple versions of customers coexist and overlap that have implications on how multiple-customer orientation is performed and aligned in the supply chain. Conclusions: We find that customer representations proliferate as a result of multiple objectives; we demonstrate what objects and assemblages bring particular customer representation to life and show that these are used to shape customer orientation.
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Open AccessArticle
Enhancing Humanitarian Supply Chain Resilience: Evaluating Artificial Intelligence and Big Data Analytics in Two Nations
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Emmanuel Ahatsi and Oludolapo Akanni Olanrewaju
Logistics 2025, 9(2), 64; https://doi.org/10.3390/logistics9020064 (registering DOI) - 25 May 2025
Abstract
Background: This study examines the application of Artificial Intelligence (AI) and Big Data Analytics (BDA) in enhancing humanitarian supply chain resilience, focusing on Ghana and South Africa. Despite their potential, AI-BDA applications are underexplored in disaster response, particularly in developing economies. Methods: An
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Background: This study examines the application of Artificial Intelligence (AI) and Big Data Analytics (BDA) in enhancing humanitarian supply chain resilience, focusing on Ghana and South Africa. Despite their potential, AI-BDA applications are underexplored in disaster response, particularly in developing economies. Methods: An explanatory research design using a quantitative approach was employed, analyzing data from 200 supply chain professionals in both nations. Structured questionnaires assessed the implementation of four key AI-BDA techniques: Time-Series Forecasting (TSF), Early Warning Systems (EWS), Logistics Optimization (LO), and Real-time Monitoring (RTM). Exploratory factor analysis and regression analysis were conducted to evaluate the relationship between these techniques and supply chain resilience, controlling for organizational size and technological readiness. Results: The findings indicate that AI-BDA techniques significantly improve humanitarian supply chain resilience, with TSF and LO demonstrating the highest predictive power. Additionally, technological readiness facilitates the adoption of these techniques. Conclusions: While AI-BDA offers substantial benefits, opportunities for greater adoption remain, particularly in real-time monitoring and predictive analytics. Humanitarian organizations should invest in capacity-building initiatives, enhance data quality, and foster multi-stakeholder partnerships to maximize the impact of AI-BDA.
Full article
(This article belongs to the Section Humanitarian and Healthcare Logistics)
Open AccessArticle
Optimizing Petroleum Products Distribution Centers Using GFA and AnyLogistix Simulation: A Case Study
by
Moqbel S. Jaffal, Amjad B. Abdulghafour, Omar Ayadi and Faouzi Masmoudi
Logistics 2025, 9(2), 63; https://doi.org/10.3390/logistics9020063 - 25 May 2025
Abstract
Background: The Petroleum Products Distribution Company in Anbar Governorate is responsible for securing and distributing petroleum products to various sectors, including transportation, agriculture, industry, and households, through over 100 gas stations. The company has faced significant challenges due to the destruction of
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Background: The Petroleum Products Distribution Company in Anbar Governorate is responsible for securing and distributing petroleum products to various sectors, including transportation, agriculture, industry, and households, through over 100 gas stations. The company has faced significant challenges due to the destruction of its infrastructure caused by past conflicts. These challenges have necessitated strategic decisions to design an efficient distribution network. Methods: This study aimed to assist the company in selecting the optimal location for a distribution center by evaluating four potential locations. Three of the proposed locations were suggested by the company: Ramadi, Habbaniyah, and Haqlaniyah. The fourth location, referred to as the GFA DC location, was determined through a greenfield analysis (GFA) experiment using AnyLogistix software (version 3.2.1. PLE) ALX. The simulation experiment in ALX was conducted using product data, fuel station locations, order quantities, distribution center data, and transportation and emissions data. Results: The simulation results, taking into account both practical and regulatory constraints, indicated that the Ramadi location was the most suitable for establishing the new distribution center. Conclusions: Based on the analysis, the study concluded that the Ramadi location was the optimal site for building the petroleum products distribution center in Anbar Governorate, offering a solution that aligns with the company’s goals of improving distribution efficiency and overcoming existing logistical challenges.
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(This article belongs to the Topic Decision Science Applications and Models (DSAM))
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The Bullwhip Effect and Ripple Effect with Respect to Supply Chain Resilience: Challenges and Opportunities
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Fabricio Moreno-Baca, Patricia Cano-Olivos, Diana Sánchez-Partida and José-Luis Martínez-Flores
Logistics 2025, 9(2), 62; https://doi.org/10.3390/logistics9020062 (registering DOI) - 20 May 2025
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Background: The Bullwhip and Ripple effects are systemic phenomena that disrupt supply chain performance. However, research often neglects their connection to resilience. This article presents a hybrid literature review examining how both effects are addressed about supply chain resilience, focusing on methodological
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Background: The Bullwhip and Ripple effects are systemic phenomena that disrupt supply chain performance. However, research often neglects their connection to resilience. This article presents a hybrid literature review examining how both effects are addressed about supply chain resilience, focusing on methodological and conceptual trends. Methods: The review combines thematic analysis of studies from Web of Science and ScienceDirect (2000–2023) with bibliometric trend modeling using Long Short-Term Memory neural networks to detect nonlinear patterns and disciplinary dynamics. Results: While 64.7% of the reviewed works explicitly link the Bullwhip Effect or Ripple Effect to resilience, only 11.7% of those focused on the Bullwhip Effect offer models with clear practical use. A structural break in 2019 marks a notable rise in research connecting these effects to resilience. Nonlinear modeling dominates (88.23%) through network theory and system dynamics. Social, Engineering and Business Sciences drive Bullwhip-related studies, while Economics, Computer Science, and Social Sciences lead Ripple-related research. Business, Energy, and Social Sciences strongly influence the integration of the Ripple Effect into supply chains. A modeling typology is proposed, and neural network techniques uncover key bibliometric patterns. Conclusions: The review highlights limited practical application and calls for more adaptive, integrative research approaches.
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Open AccessArticle
Enhancement of In-Store Product Replenishment Flow and Introduction of Pull Approach in a Food Retail Chain
by
Elisa Vieira, Larissa Tomaz, José Leitão, João Fernandes and José Dinis-Carvalho
Logistics 2025, 9(2), 61; https://doi.org/10.3390/logistics9020061 - 16 May 2025
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Background: Due to the highly competitive nature of the retail sector, companies need to improve their operational efficiency. This study focuses on the application of the concepts of Lean production in the process of replenishing products on the shelves of the shops
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Background: Due to the highly competitive nature of the retail sector, companies need to improve their operational efficiency. This study focuses on the application of the concepts of Lean production in the process of replenishing products on the shelves of the shops of one of the largest food retail chains in Portugal. Methods: This study aims to apply a transition from a “push” to a “pull” approach, based on real-time consumption. During a 5-day test, the impacts of implementing Lean principles and ergonomic trolleys in the process were investigated. Results: The test led to improved efficiency in product replenishment by eliminating pallets and reducing unfavourable product handling from the initial process. The implementation of a replenishment system in this manner allowed a reduced labour requirements from 28.4 to 19.2 man-hours per day and, the elimination of unnecessary handling and increase of product availability were reflected in gains on operational time and in replenishment time. Conclusions: This study provides empirical evidence for the effectiveness of Lean pull systems in retail replenishment, demonstrating a 32% reduction in labour hours.
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Open AccessArticle
Economic Viability of Electric Bus Adoption for Public Transportation in Thailand: A Monte Carlo Simulation Approach
by
Sakgasem Ramingwong, Sate Sampattagul and Jutamat Jintana
Logistics 2025, 9(2), 60; https://doi.org/10.3390/logistics9020060 - 29 Apr 2025
Abstract
Background: Thailand is actively transitioning toward electric vehicle adoption as part of its commitment to reducing greenhouse gas emissions. This study investigates the economic feasibility of replacing diesel buses with electric buses in Thailand’s public transportation sector. Methods: The research employs a
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Background: Thailand is actively transitioning toward electric vehicle adoption as part of its commitment to reducing greenhouse gas emissions. This study investigates the economic feasibility of replacing diesel buses with electric buses in Thailand’s public transportation sector. Methods: The research employs a comprehensive methodological framework combining Total Cost of Ownership (TCO) analysis with Monte Carlo simulation to address uncertainties in long-term financial projections. The study examines four pilot routes operated by a major Thai bus company, incorporating potential carbon credit revenues through Thailand’s Voluntary Emission Reduction program. Results: The analysis reveals substantial cost advantages for electric buses across all examined routes, with TCO savings ranging from 23.07% to 38.25%. Even under conservative scenarios, all routes demonstrate positive economic benefits. The fleet-wide net savings amount to approximately 236 million THB over a 10-year period, with an additional 16.7 million THB potential carbon credit revenue. Sensitivity analysis identifies fuel costs as the most significant factor (45.2%) affecting economic outcomes. Conclusions: The transition to electric buses presents a compelling economic and environmental case for Thai public transportation operators, with significant cost savings and emission reductions. A phased implementation approach beginning with routes offering the highest percentage savings is recommended.
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(This article belongs to the Special Issue Sustainable E-commerce, Supply Chains and Logistics)
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Integrated Logistics Management Through ERP System: A Case Study in an Emerging Regional Market
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Juan Gabriel França Canon, Robério José Rogério dos Santos, Victor Diogho Heuer de Carvalho, Madson Bruno da Silva Monte and Thiago Lima de Barros
Logistics 2025, 9(2), 59; https://doi.org/10.3390/logistics9020059 - 27 Apr 2025
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Background: Logistics and supply chain management are crucial in modern commerce, impacting global competition, and both can directly benefit by using enterprise resource planning (ERP) systems. This case study examines key success factors behind a significant operational transformation in a company in
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Background: Logistics and supply chain management are crucial in modern commerce, impacting global competition, and both can directly benefit by using enterprise resource planning (ERP) systems. This case study examines key success factors behind a significant operational transformation in a company in the countryside of Alagoas, Brazil. From this context, two research questions emerge: (a) What are the main success factors that drove a significant operational transformation in logistics and supply chain management, and how did these factors impact the company’s growth? (b) How does digital transformation and adopting an ERP impact the company’s logistics activities? Methods: Data were collected through on-site observations, interviews with supervisors and a manager, and analysis of company-provided documentation. Results: The study identified key processes, stakeholders, and practices, focusing on critical success factors, mission-critical processes, and the integration of core and support functions. Notable changes were observed through key logistics performance indicators, tracking the evolution from pre-implementation to post-implementation and revealing their impact on the company’s growth. Conclusions: Improved decision making between departments significantly enhanced performance and growth. The analyzed company’s success can be attributed to a process-oriented approach, digital transformation in logistics, and investment in information technology.
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Open AccessArticle
Should Recovery Strategies Be Reuse or Recycling Based? A Case Study on Discarded Electronics in Melbourne, Australia
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Hans Ronald Krikke, Mark Sayers and Lizzie Smith
Logistics 2025, 9(2), 58; https://doi.org/10.3390/logistics9020058 - 25 Apr 2025
Abstract
Background: Optimizing reverse chains is more difficult than forward linear supply chains. Careful consideration should be given to recovery strategies to optimize product reuse as well as recycling. Methods: Using a 450-product dataset from the Melbourne area collection project and literature sources, we
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Background: Optimizing reverse chains is more difficult than forward linear supply chains. Careful consideration should be given to recovery strategies to optimize product reuse as well as recycling. Methods: Using a 450-product dataset from the Melbourne area collection project and literature sources, we applied a calculation model with four recovery options. It modeled different return quality levels, three market segments, cost structures, buy-back and resell prices, carbon emissions, and the percentage of reuse and recycling for the four Rs (volume-based). We compared fifteen recovery strategies with one, two, three, or four recovery options and carried out sensitivity analyses to explore the impact of return volumes and quality, recovery cost, and market prices. Results: The main findings are as follows: (i) Product reuse has a lot of potential, but currently only for premium brands and requires the returned products to be of good quality. (ii) Environmental footprints are reduced in almost all scenarios, so economic viability is the main bottleneck in applying (more) reuse. (iii) Eco-design and circular business models may pave the way to reduce costs and increase market acceptance. Conclusions: We conclude with three suggested strategies for promoting reuse of electronic equipment: 1. Collecting discarded products earlier; 2. Incentivizing modular product design; 3. Greater consistency in asset management and refurbishment operations.
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(This article belongs to the Special Issue Advancements in Building Resilient Reverse Supply Chains: Strategies, Technologies, and Sustainable Practices)
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Factors Impacting the Sustainability of Supply Chain in Industry 5.0: An Exploratory Qualitative Study in Morocco
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Molk Oukili Garti, Jabir Arif, Fouad Jawab, Youness Frichi and Fatima Zahra Benbrahim
Logistics 2025, 9(2), 57; https://doi.org/10.3390/logistics9020057 - 25 Apr 2025
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Background: The objective of this qualitative research was to explore the impact of certain predefined factors on the sustainability of supply chains in Industry 5.0. The sustainability of supply chains was assessed by considering six factors from the existing literature: circular logistics,
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Background: The objective of this qualitative research was to explore the impact of certain predefined factors on the sustainability of supply chains in Industry 5.0. The sustainability of supply chains was assessed by considering six factors from the existing literature: circular logistics, Industry 5.0 technologies, intellectual level and learning, logistics innovation, sustainable supply chain practices, and the managerial strategy of the company. Methods: Semi-structured interviews were conducted based on an interview guide with 14 participants who serve as managers and executives in supply chain management in Morocco. The interviews were transcribed, followed by lexical and thematic analysis using QSR NVivo 15 software. Results: The results showed that all the factors studied play a major role in achieving sustainable supply chain management. The testimonies of all participants highlighted the crucial role that Industry 5.0 technologies play in achieving the sustainability of supply chains, while combining them with the other factors studied. Consequently, these results made it possible to validate and confirm the six factors previously identified from the existing literature, while retaining them for potential future quantitative studies. Conclusions: To meet the dimensions of sustainability, it is recommended to focus on the most impactful factors in maintaining a sustainable supply chain and on all the possible interactions between these factors. Indeed, this study represents, on the one hand, an invitation for supply chain managers to pay greater attention to factors related to sustainability, and on the other hand, an initial pathway for future research that may subsequently highlight the interactions between factors leading to sustainability. This could help propose applicable models for supply chain managers, enabling them to adopt more effective strategies and identify the most feasible combinations of factors to achieve sustainable logistics.
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Open AccessArticle
Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data
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Hisatoshi Naganawa and Enna Hirata
Logistics 2025, 9(2), 56; https://doi.org/10.3390/logistics9020056 - 23 Apr 2025
Abstract
Background: Logistics challenges, such as driver shortages, are a major global issue, with many countries struggling to find effective solutions. YouTube, as a social networking platform, has a growing user base and is increasingly used not only for entertainment but also for
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Background: Logistics challenges, such as driver shortages, are a major global issue, with many countries struggling to find effective solutions. YouTube, as a social networking platform, has a growing user base and is increasingly used not only for entertainment but also for social interaction, such as commenting, searching, and browsing, and it can thus potentially be used as an indicator of the topic under discussion. Methods: This study collects YouTube data containing keywords related to logistics issues—particularly the 2024 problem—and applies natural language processing (NLP) techniques to explore potential solutions. It is the first study to analyze both subtitle and comment data extracted from YouTube audio as large-scale text data in the field of logistics. Results: The analysis identified four primary areas of concern in logistics: time management, driver welfare, technological investment, and policy transparency. Sentiment analysis revealed a predominant negative sentiment in user discussions, highlighting dissatisfaction with current logistics policies and operations. Conclusions: The findings provide new insights that could inform the development of effective logistics policies and improve services for logistics companies while also proposing innovative research methods using NLP.
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(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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Demographic and Operational Factors in Public Transport-Based Parcel Locker Crowdshipping: A Mixed-Methods Analysis
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Mohammad Maleki, Scott Rayburg and Stephen Glackin
Logistics 2025, 9(2), 55; https://doi.org/10.3390/logistics9020055 - 18 Apr 2025
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Background: The rapid rise of e-commerce has intensified last-mile logistics challenges, fueling the need for sustainable, efficient solutions. Parcel locker crowdshipping systems, integrated with public transport networks, show promise in reducing congestion, emissions, and delivery costs. However, operational and physical constraints (e.g.,
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Background: The rapid rise of e-commerce has intensified last-mile logistics challenges, fueling the need for sustainable, efficient solutions. Parcel locker crowdshipping systems, integrated with public transport networks, show promise in reducing congestion, emissions, and delivery costs. However, operational and physical constraints (e.g., crowded stations) and liability complexities remain significant barriers to broad adoption. This study investigates the demographic and operational factors that influence the adoption and scalability of these systems. Methods: A mixed-methods design was employed, incorporating survey data from 368 participants alongside insights from 20 semi-structured interviews. Quantitative analysis identified demographic trends and operational preferences, while thematic analysis offered in-depth contextual understanding. Results: Younger adults (18–34), particularly gig-experienced males, emerged as the most engaged demographic. Females and older individuals showed meaningful potential if safety and flexibility concerns were addressed. System efficiency depended on locating parcel lockers within 1 km of major origins and destinations, focusing on moderate parcel weights (3–5 kg), and offering incentives for minor route deviations. Interviews emphasized ensuring that lockers avoid station congestion, clearly defining insurance/liability protocols, and allowing task refusals during peak passenger hours. Conclusions: By leveraging public transport infrastructure, parcel locker crowdshipping requires robust policy frameworks, strategic station-space allocation, and transparent incentives to enhance feasibility.
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Open AccessArticle
A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review
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Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres, Ricardo Gonçalves de Faria Correa and Ismael Cristofer Baierle
Logistics 2025, 9(2), 54; https://doi.org/10.3390/logistics9020054 - 16 Apr 2025
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Background: The global climate crisis has intensified the demand for sustainable solutions, positioning Reverse Logistics (RL) as a critical strategy for minimizing environmental impacts. Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and
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Background: The global climate crisis has intensified the demand for sustainable solutions, positioning Reverse Logistics (RL) as a critical strategy for minimizing environmental impacts. Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and disposal processes. Understanding the roles of these technologies is essential for improving efficiency and sustainability. Methods: This study employs a systematic literature review, following the PRISMA methodology, to identify key Industry 4.0 technologies applicable to RL. Publications from Scopus and Web of Science were analyzed, leading to the development of a theoretical framework linking these technologies to RL activities. Results: The findings highlight the fact that technologies like the Internet of Things (IoT), Artificial Intelligence (AI), Big Data Analytics, Cloud Computing, and Blockchain enhance RL by improving traceability, automation, and sustainability. Their application optimizes execution time, reduces operational costs, and mitigates environmental impacts. Conclusions: For the transportation and manufacturing sectors, integrating Industry 4.0 technologies into RL can streamline supply chains, enhance decision-making, and improve resource utilization. Smart tracking, predictive maintenance, and automated sorting systems reduce waste and improve operational resilience, reinforcing the transition toward a circular economy. By adopting these innovations, stakeholders can achieve economic and environmental benefits while ensuring regulatory compliance and long-term competitiveness.
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Open AccessArticle
From Adopting Industry 4.0 Technologies to Improving Operational Performance in Hospital Supply Chain: The Moderating Effect of HSC Complexity
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Ahmed Chtioui, Imane Bouhaddou and Asmaa Benghabrit
Logistics 2025, 9(2), 53; https://doi.org/10.3390/logistics9020053 - 15 Apr 2025
Abstract
Background: The hospital supply chain (HSC) is one of the main levers for improving the performance of any healthcare organization. HSC stakeholders evolve in a dynamic environment marked by great complexity. This observation led us to conduct research, through which we examined
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Background: The hospital supply chain (HSC) is one of the main levers for improving the performance of any healthcare organization. HSC stakeholders evolve in a dynamic environment marked by great complexity. This observation led us to conduct research, through which we examined several factors enabling operational performance to be achieved within the HSC. Methods: For the empirical verification, we opted for a survey of a relevant sample composed of health professionals operating in different Moroccan hospitals, particularly in the logistics departments. Afterwards, the data were analyzed using a Partial Least Squares-Structural Equation Modeling (PLS-SEM) method to test the hypothesized relationships in this study. Results: The results show that the adoption of Industry 4.0 technologies improve collaborative aspects between logistics processes and flows, and thus ensure better integration of HSC. The research also highlights the moderating effect of HSC complexity in the relationship between HSC integration and HSC operational performance, i.e., HSC integration increases HSC operational performance in a context marked by high complexity. Conclusions: This paper explores the impact of Industry 4.0 technologies on HSC operational performance. The study provides hospital managers and practitioners with insights to improve HSC operational performance through integration initiatives, ultimately better meeting the needs of healthcare professionals and contributing to improve the quality of care.
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(This article belongs to the Section Humanitarian and Healthcare Logistics)
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Agent-Based Control of Interaction Areas in Intralogistics: Concept, Implementation and Simulation
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Felix Gehlhoff, Niklas Jobs and Vincent Henkel
Logistics 2025, 9(2), 52; https://doi.org/10.3390/logistics9020052 - 14 Apr 2025
Abstract
Background: Intralogistics systems face growing challenges from globalization, individualization, and shorter product life cycles, demanding flexible and responsive solutions beyond traditional centralized control. Decentralized, agent-based approaches offer potential advantages, especially for Automated Guided Vehicle (AGV) systems where managing collisions in interaction areas
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Background: Intralogistics systems face growing challenges from globalization, individualization, and shorter product life cycles, demanding flexible and responsive solutions beyond traditional centralized control. Decentralized, agent-based approaches offer potential advantages, especially for Automated Guided Vehicle (AGV) systems where managing collisions in interaction areas remains a critical issue. Methods: This study proposes two decentralized, agent-based control concepts for AGV systems in intralogistics. One uses a hierarchical model with an Intersection Manager to coordinate AGV agents, while the other employs a fully heterarchical system. For benchmarking, a First Come, First Served heuristic and a Mixed-Integer Linear Programming (MILP) method are also implemented. Simulations show both agent-based approaches effectively prevent collisions and uphold order prioritization and timing goals. While average delays are similar, the heterarchical system requires up to 2.7 times more communication. Priority-based control enhances timeliness for highpriority vehicles but can increase delays for lower-priority AGVs. The MILP method, though effective, is limited by impractical computation times. Results: The study confirms the viability of agent-based control for managing interaction areas in AGV systems, highlighting trade-offs between decentralization, efficiency, and communication. Conclusions: It offers a foundation for further research into hybrid models and real-world application of decentralized control strategies.
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(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture
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Víctor Hugo de la Cruz Madrigal, Liliana Avelar Sosa, Jose-Manuel Mejía-Muñoz, Jorge Luis García Alcaraz and Emilio Jiménez Macías
Logistics 2025, 9(2), 51; https://doi.org/10.3390/logistics9020051 - 8 Apr 2025
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Background: The COVID-19 was a determining factor in the disruption of supply chains in the automotive industry, exacerbating material shortages. This led to increased supplier order cancelations, longer lead times, and reduced safety inventory levels. Methods: This study analyzes and models supply chain
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Background: The COVID-19 was a determining factor in the disruption of supply chains in the automotive industry, exacerbating material shortages. This led to increased supplier order cancelations, longer lead times, and reduced safety inventory levels. Methods: This study analyzes and models supply chain disruptions using system dynamics as a key tool, focusing on the disruptions caused by delays in scheduled orders and their impact on service levels within automotive supply chains in Mexico. This approach allowed us to capture the dynamic relationships and cascading effects associated with inventory shrinkage at Tier 2 suppliers, highlighting how these delays affect the chain’s overall performance. In addition to modeling using system dynamics, a deep-learning-based network was proposed to detect disruptions using the data generated by the dynamic model. The network architecture integrates convolutional layers for feature extraction and dense layers for classification, thereby enhancing its ability to identify disruption-related patterns. Results: The performance of the proposed model was evaluated using the AUC metric and compared with alternative methods. The proposed network achieved an AUC of 0.87, outperforming the multilayer perceptron model (AUC = 0.76) and a Neyman–Pearson-based model (AUC = 0.63). These results confirm the superior discriminatory ability of our approach, demonstrating higher accuracy and reliability in detecting disruptions. Furthermore, the dynamical models reveal that the domino effect increases delays in order reception due to the reduction in raw material inventories at Tier 2 suppliers. Conclusions: This paper effectively evaluates the impact of disruptions by demonstrating how reduced service levels propagate through the supply chain.
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(This article belongs to the Section Supplier, Government and Procurement Logistics)
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Open AccessArticle
Effect of Social Sustainability on Supply Chain Resilience Before, During, and After the COVID-19 Pandemic in Mexico: A Partial Least Squares Structural Equation Modeling and Evolutionary Fuzzy Knowledge Transfer Approach
by
Miguel Reyna-Castillo, Alejandro Santiago, Ana Xóchitl Barrios-del-Ángel, Francisco Manuel García-Reyes, Fausto Balderas and José Ignacio Anchondo-Pérez
Logistics 2025, 9(2), 50; https://doi.org/10.3390/logistics9020050 - 2 Apr 2025
Cited by 1
Abstract
Recent disruptions have led to a growing interest in studying the social dimension of sustainability and its relationship to resilience within supply chains. Social sustainability is characterized as complex, often offering anomalous data and confounding variables that are impossible to categorically define as
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Recent disruptions have led to a growing interest in studying the social dimension of sustainability and its relationship to resilience within supply chains. Social sustainability is characterized as complex, often offering anomalous data and confounding variables that are impossible to categorically define as true or false axioms. This work starts from an epistemological premise, in which non-parametric statistical methodologies and mathematical analytics are complementary perspectives to comprehensively understand the same social phenomenon. Second-generation predictive statistics, such as the PLS-SEM algorithm, have demonstrated robustness in treating multivariate social information, making it feasible to prepare data for knowledge transfer with mathematical techniques specialized for fuzzy data. This research aimed to analyze evolutionary fuzzy knowledge transfer pre-, during-, and post-pandemic COVID-19, and its effect on the relationship between social sustainability and supply chain resilience in representative cases from Mexico. Based on empirical data collected from supply chain managers in 2019 (n = 153), 2021 (n = 159), and 2023 (n = 119), the methodological technique involved three phases: (1) PLS-SEM modeling, (2) fuzzy-evolutionary predictive evaluation based on knowledge transfer between latent data, and (3) comparative analysis of the predictive effects of social attributes (labor rights, health and safety, inclusion, and social responsibility) on supply chain resilience. The results found a moderate significant variance in the pre-in-post-COVID-19 effect of social dimensions on supply chain resilience. Social and management implications are presented.
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(This article belongs to the Special Issue Tackling Disruptions in Supply Chain Networks Through Resilient, Sustainable and Innovative Methods and Practices)
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Open AccessArticle
Information and Communication Technology, and Supply Chains as Economic Drivers in the European Union
by
Davor Mance, Siniša Vilke and Borna Debelić
Logistics 2025, 9(2), 49; https://doi.org/10.3390/logistics9020049 - 1 Apr 2025
Abstract
Background: The adoption of information and communication technology (ICT) is transforming supply chains in the European Union, affecting logistical performance, economic integration and sustainability. This study examines the extent to which ICT adoption affects logistics efficiency in the 27 EU Member States.
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Background: The adoption of information and communication technology (ICT) is transforming supply chains in the European Union, affecting logistical performance, economic integration and sustainability. This study examines the extent to which ICT adoption affects logistics efficiency in the 27 EU Member States. Methods: Using panel data from the World Bank and UNCTAD (2008–2018), the analysis applies the Arellano–Bond Generalized Method of Moments estimator to assess the impact of ICT indicators, broadband penetration, mobile connectivity and digital skills on logistics performance. GDP per capita and trade openness are included as control variables. Results: The results show that a 1% increase in ICT usage correlates with a 0.12-point increase in the Logistics Performance Index. Higher ICT usage leads to more efficient supply chains, lower costs and higher customer satisfaction. However, there are still differences in digitalization: the ICT usage rate of SMEs is 28% in Bulgaria and 27% in Romania, compared to the EU average of 59%. Conclusions: Bridging the digital divide requires targeted investments in ICT infrastructure, harmonized regulatory frameworks and stronger public–private cooperation to foster regional economic cohesion. This study provides policy recommendations to drive digital transformation, strengthen the resilience of logistics and improve the sustainability of supply chains in the EU.
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(This article belongs to the Special Issue Sustainable E-commerce, Supply Chains and Logistics)
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