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Logistics, Volume 9, Issue 2 (June 2025) – 30 articles

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42 pages, 8870 KiB  
Article
Tactical Helicopter Transportation Planning for Offshore Personnel on the Norwegian Continental Shelf
by Irina Gribkovskaia and Gaute Øiestad Slettemark
Logistics 2025, 9(2), 73; https://doi.org/10.3390/logistics9020073 - 31 May 2025
Viewed by 279
Abstract
Background: In offshore energy logistics, contracted helicopters frequently transport personnel to and from offshore installations. Regular and efficient transportation is vital to maintain planned activities at the installations. We focus on tactical helicopter planning from a single heliport for a period of stable [...] Read more.
Background: In offshore energy logistics, contracted helicopters frequently transport personnel to and from offshore installations. Regular and efficient transportation is vital to maintain planned activities at the installations. We focus on tactical helicopter planning from a single heliport for a period of stable weekly transport demands in a heliport operating area on the Norwegian Continental Shelf (NCS). This results in the construction of a repetitive weekly flight program, integrating the selection of helicopter resources optimally matching demand with the generation of a weekly timetable of flights assigning them to start times. The purpose of our research is to develop optimisation-based weekly flight program planning algorithms for energy companies operating on the NCS. Methods: We present a developed two-step solution method sequentially generating possible flights and solving a flight-based integer programming model, and an iterative algorithm based on the decomposition of the flight-based model for the construction of cost-optimal weekly flight programs. Results: The developed algorithms were validated on the real instances from Equinor, the largest NCS energy operator. The decomposition-based algorithm was able to solve to optimality all tested instances, with up to 20 installations served from the heliport within less than 9 min. Conclusions: Equinor logistics planners have tested and verified that the developed flight-based model satisfies the goals and planning policies imposed on the NCS for integrated tactical helicopter planning. Considering the advantages of the decomposition-based algorithm performance in solution quality and speed, energy companies on the NCS find it well-suited as a solution engine in the highly demanded automated decision support tools for tactical helicopter transportation planning. Full article
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29 pages, 298 KiB  
Review
Inclusive and Accessible Transportation for All: Strategies for Integrating Equity in Transportation Research
by Laquanda Leaven Johnson, Oghenetejiri Ebakivie, Jerry Everett and Szaviea Wynn
Logistics 2025, 9(2), 72; https://doi.org/10.3390/logistics9020072 - 30 May 2025
Viewed by 251
Abstract
Background: Transportation equity has emerged as a critical area of focus in recent studies. Integrating equity into transportation research is increasingly recognized as essential for developing fair, inclusive, and sustainable transportation systems. The significance of this integration lies in its potential to [...] Read more.
Background: Transportation equity has emerged as a critical area of focus in recent studies. Integrating equity into transportation research is increasingly recognized as essential for developing fair, inclusive, and sustainable transportation systems. The significance of this integration lies in its potential to reduce social and spatial disparities, support economic growth, promote social cohesion, and advance public health. Methods: This literature review synthesizes recent research on the incorporation of equity into transportation studies within transportation planning and frameworks. It examines how equity is conceptualized, measured, and operationalized, focusing on both horizontal equity (the equal treatment of similar groups) and vertical equity (prioritizing disadvantaged populations). This study evaluates various methodologies and tools, such as accessibility indices, affordability metrics, and community engagement approaches, which are used to assess and promote equity in transportation systems. Results: The findings from this review highlight the importance of both horizontal and vertical equity in transportation planning and policy and foundational tools for assessing equity. Conclusions: Integrating equity into transportation research is vital for creating systems that are equitable, inclusive, and responsive to the needs of all communities. Addressing current challenges requires clearer and more consistent frameworks, improved data collection, and more inclusive, community-driven decision-making processes. Full article
(This article belongs to the Section Humanitarian and Healthcare Logistics)
26 pages, 938 KiB  
Article
Circular Strategic Options for Ethanol Supply Chain Resilience Under Uncertainties Using a Composition of Probabilities Group Decision Model
by Edson da Silva Santos, Wesley Douglas Oliveira Silva, Marcele Elisa Fontana, Pedro Carmona Marques, Hemmylly Cawanne Pedro, Renata de Oliveira Mota and Vilmar Nepomuceno
Logistics 2025, 9(2), 71; https://doi.org/10.3390/logistics9020071 - 29 May 2025
Viewed by 349
Abstract
Background: Brazil’s bioethanol supply chain is vital for global energy security and climate action but remains vulnerable to climate disruptions, market volatility, and conflicting stakeholder interests. While resilience strategies exist, they often overlook the potential of circular economy (CE) principles. Methods: [...] Read more.
Background: Brazil’s bioethanol supply chain is vital for global energy security and climate action but remains vulnerable to climate disruptions, market volatility, and conflicting stakeholder interests. While resilience strategies exist, they often overlook the potential of circular economy (CE) principles. Methods: This study proposes an integrated decision-support framework that combines Strategic Options Development and Analysis (SODA), the Composition of Probabilistic Preferences (CPP), and the Rank-Order Centroid (ROC) method to prioritize CE strategies under uncertainty. The approach incorporates stakeholder input and probabilistic modeling to evaluate 20 alternatives across 10 criteria. Results: The analysis identified climate risk modeling, biogas utilization, and blockchain-enabled traceability as the most effective strategies for improving supply chain resilience. The model demonstrated strong robustness, maintaining 95% consistency in rankings under varied decision-making scenarios. Conclusions: This research presents a novel, structured method for supporting complex decisions in uncertain environments. By integrating CE principles and group decision-making tools, the study offers valuable guidance for policymakers and industry leaders seeking to build more resilient and sustainable bioethanol supply chains. Full article
(This article belongs to the Special Issue Advancements in Building Resilient Reverse Supply Chains: Strategies, Technologies, and Sustainable Practices)
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27 pages, 6210 KiB  
Article
Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics
by Nikica Perić, Anđelko Kolak and Vinko Lešić
Logistics 2025, 9(2), 70; https://doi.org/10.3390/logistics9020070 - 28 May 2025
Viewed by 303
Abstract
Background: Logistics and transport, core of many business processes, are continuously optimized to improve efficiency and market competitiveness. The paper describes a modular coordination of vehicle routing and bin packing problems that enables independent instances of the problems to be joined together, [...] Read more.
Background: Logistics and transport, core of many business processes, are continuously optimized to improve efficiency and market competitiveness. The paper describes a modular coordination of vehicle routing and bin packing problems that enables independent instances of the problems to be joined together, with the aim that the vehicle routing solution satisfies all the constraints from real-world applications. Methods: The vehicle routing algorithm is based on an adaptive memory procedure that also incorporates a simple, one-dimensional bin packing problem. This preliminary packing solution is refined by a complex, three dimensional bin packing for each vehicle to identify the infeasible packages. The method iteratively adjusts virtual volumes until reaching near-optimal routes that respect bin-packing constraints. Results: The coordination enables independent applications of an adaptive memory procedure to vehicle routing and a genetic algorithm approach to bin packing while joining them in a computationally tractable way. Such a coordinated approach is applied to a frequently used public benchmark and proven to provide commensurate costs while significantly lowering algorithm complexity. Conclusions: The proposed method is further validated on a real industrial case study and provided additional savings of 14.48% in average daily distance traveled compared to the current industrial standard. Full article
(This article belongs to the Section Last Mile, E-Commerce and Sales Logistics)
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28 pages, 909 KiB  
Article
Empowering Startup Supply Chain: Exploring the Integration of SCF, AI, Blockchain, and Trust
by Ali Trawnih, Husam Yaseen, Malek Ahmad Alsoud, Majda Ayoub Al-Salim and Christine Hattar
Logistics 2025, 9(2), 69; https://doi.org/10.3390/logistics9020069 - 28 May 2025
Viewed by 1005
Abstract
Background: This research aims to comprehensively evaluate the influence of firm capabilities, resources, and Artificial Intelligence (AI) on supply chain financing within the Jordanian context. It also analyzes the mediating role of blockchain technology and trust in these relationships. Methods: A conceptual [...] Read more.
Background: This research aims to comprehensively evaluate the influence of firm capabilities, resources, and Artificial Intelligence (AI) on supply chain financing within the Jordanian context. It also analyzes the mediating role of blockchain technology and trust in these relationships. Methods: A conceptual model was utilized to empirically examine the suggested relationships. Data were gathered from a sample of 349 Jordanian start-ups focusing on AI and blockchain technologies via a five-point Likert scale questionnaire. Partial Least Square regression-based Structural Equation Modeling (PLS-SEM) facilitated by SmartPLS4 was used to perform the analysis. Results: The findings reveal that firm capabilities/resources and AI positively impact supply chain financing. Blockchain technology and trust serve as mediators, enhancing the effects of these factors on supply chain financing. Conclusions: The study highlights the role of innovative technologies in improving financial information security and collaboration among supply chain partners. It emphasizes how firm capabilities, resources, and emerging technologies such as AI and blockchain influence supply chain financing as they foster trust and security in financial transactions, offering valuable insights for decision-makers in the supply chain domain. Full article
(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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33 pages, 2179 KiB  
Systematic Review
A Strategic Pathway to Green Digital Shipping
by Mohsen Khabir, Gholam Reza Emad, Mehrangiz Shahbakhsh and Maxim A. Dulebenets
Logistics 2025, 9(2), 68; https://doi.org/10.3390/logistics9020068 - 27 May 2025
Viewed by 278
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 [...] Read more.
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)
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23 pages, 1977 KiB  
Article
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 - 27 May 2025
Viewed by 299
Abstract
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 [...] Read more.
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. Full article
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31 pages, 2749 KiB  
Article
Optimizing Resilient Sustainable Citrus Supply Chain Design
by Sherin Bishara, Nermine Harraz, Hamdy Elwany and Hadi Fors
Logistics 2025, 9(2), 66; https://doi.org/10.3390/logistics9020066 - 27 May 2025
Viewed by 399
Abstract
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 [...] Read more.
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. Full article
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20 pages, 508 KiB  
Article
Who Is the Customer? On Multiple-Customer Representation in Supply Chains
by Benedikte Borgström, Luis Araujo and Susanne Hertz
Logistics 2025, 9(2), 65; https://doi.org/10.3390/logistics9020065 - 26 May 2025
Viewed by 310
Abstract
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 [...] Read more.
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. Full article
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28 pages, 366 KiB  
Article
Enhancing Humanitarian Supply Chain Resilience: Evaluating Artificial Intelligence and Big Data Analytics in Two Nations
by Emmanuel Ahatsi and Oludolapo Akanni Olanrewaju
Logistics 2025, 9(2), 64; https://doi.org/10.3390/logistics9020064 - 25 May 2025
Viewed by 522
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 [...] Read more.
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)
15 pages, 1263 KiB  
Article
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
Viewed by 362
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 [...] Read more.
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. Full article
(This article belongs to the Topic Decision Science Applications and Models (DSAM))
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34 pages, 5069 KiB  
Review
The Bullwhip Effect and Ripple Effect with Respect to Supply Chain Resilience: Challenges and Opportunities
by 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 - 20 May 2025
Viewed by 362
Abstract
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 [...] Read more.
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. Full article
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16 pages, 3955 KiB  
Article
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
Viewed by 380
Abstract
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 [...] Read more.
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. Full article
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20 pages, 1538 KiB  
Article
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
Viewed by 786
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Sustainable E-commerce, Supply Chains and Logistics)
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25 pages, 2468 KiB  
Article
Integrated Logistics Management Through ERP System: A Case Study in an Emerging Regional Market
by 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
Viewed by 1477
Abstract
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 [...] Read more.
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. Full article
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34 pages, 3333 KiB  
Article
Should Recovery Strategies Be Reuse or Recycling Based? A Case Study on Discarded Electronics in Melbourne, Australia
by Hans Ronald Krikke, Mark Sayers and Lizzie Smith
Logistics 2025, 9(2), 58; https://doi.org/10.3390/logistics9020058 - 25 Apr 2025
Viewed by 518
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Advancements in Building Resilient Reverse Supply Chains: Strategies, Technologies, and Sustainable Practices)
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26 pages, 3965 KiB  
Article
Factors Impacting the Sustainability of Supply Chain in Industry 5.0: An Exploratory Qualitative Study in Morocco
by 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
Viewed by 764
Abstract
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, [...] Read more.
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. Full article
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21 pages, 7469 KiB  
Article
Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data
by Hisatoshi Naganawa and Enna Hirata
Logistics 2025, 9(2), 56; https://doi.org/10.3390/logistics9020056 - 23 Apr 2025
Viewed by 673
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 [...] Read more.
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. Full article
(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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16 pages, 2678 KiB  
Article
Demographic and Operational Factors in Public Transport-Based Parcel Locker Crowdshipping: A Mixed-Methods Analysis
by Mohammad Maleki, Scott Rayburg and Stephen Glackin
Logistics 2025, 9(2), 55; https://doi.org/10.3390/logistics9020055 - 18 Apr 2025
Viewed by 577
Abstract
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., [...] Read more.
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. Full article
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21 pages, 1819 KiB  
Article
A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review
by 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
Viewed by 1124
Abstract
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 [...] Read more.
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. Full article
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22 pages, 1535 KiB  
Article
From Adopting Industry 4.0 Technologies to Improving Operational Performance in Hospital Supply Chain: The Moderating Effect of HSC Complexity
by Ahmed Chtioui, Imane Bouhaddou and Asmaa Benghabrit
Logistics 2025, 9(2), 53; https://doi.org/10.3390/logistics9020053 - 15 Apr 2025
Viewed by 488
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 [...] Read more.
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. Full article
(This article belongs to the Section Humanitarian and Healthcare Logistics)
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33 pages, 1420 KiB  
Article
Agent-Based Control of Interaction Areas in Intralogistics: Concept, Implementation and Simulation
by Felix Gehlhoff, Niklas Jobs and Vincent Henkel
Logistics 2025, 9(2), 52; https://doi.org/10.3390/logistics9020052 - 14 Apr 2025
Viewed by 486
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 [...] Read more.
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. Full article
(This article belongs to the Section Artificial Intelligence, Logistics Analytics, and Automation)
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23 pages, 2966 KiB  
Article
Dynamical System Modeling for Disruption in Supply Chain and Its Detection Using a Data-Driven Deep Learning-Based Architecture
by 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
Viewed by 797
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Section Supplier, Government and Procurement Logistics)
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32 pages, 1168 KiB  
Article
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 | Viewed by 1052
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 [...] Read more.
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. Full article
(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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18 pages, 3805 KiB  
Article
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
Viewed by 743
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. [...] Read more.
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. Full article
(This article belongs to the Special Issue Sustainable E-commerce, Supply Chains and Logistics)
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19 pages, 5271 KiB  
Article
Croatia’s Economic Integration in EU’s Regional Supply Chains: Panel Data Quantile Regression
by Davor Mance, Dora Šekimić and Borna Debelić
Logistics 2025, 9(2), 48; https://doi.org/10.3390/logistics9020048 - 1 Apr 2025
Cited by 1 | Viewed by 599
Abstract
Background: Recent global disruptions have exposed the vulnerability of international supply chains, prompting a shift toward regionalization to enhance economic resilience. As a European Union (EU) member, Croatia has an opportunity to strengthen its integration into EU regional value chains (RVCs), fostering [...] Read more.
Background: Recent global disruptions have exposed the vulnerability of international supply chains, prompting a shift toward regionalization to enhance economic resilience. As a European Union (EU) member, Croatia has an opportunity to strengthen its integration into EU regional value chains (RVCs), fostering economic stability and competitiveness. This study examines Croatia’s integration into EU RVCs and its economic impact. Methods: Using panel data from the UNCTAD–Eora database (2000–2019), this study applies panel data quantile regression (PDQR) to analyse Croatia’s trade relationships with EU Member States. Unlike traditional regression models, PDQR captures variations in trade dynamics across different levels of economic activity, providing a more detailed understanding of Croatia’s trade resilience. Results: The findings show that Croatia’s trade integration strengthens at higher economic quantiles (τ = 0.75–0.85), reflecting its ability to scale exports during economic expansions. Lower quantiles (τ = 0.05–0.25) display stable but less dynamic trade patterns, suggesting a need for targeted policy interventions to enhance supply chain resilience. Strong trade linkages with Germany, Austria, Slovenia, Hungary, and Italy highlight Croatia’s comparative advantage in high-value trade sectors. Conclusions: Croatia’s integration into EU RVCs supports economic resilience and competitiveness. These findings provide insights for policymakers to optimize trade participation and mitigate vulnerabilities. By demonstrating the benefits of quantile-based trade analysis, this study advances the discourse on regional economic integration. Full article
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25 pages, 2776 KiB  
Review
A Review of Supply Chain Digitalization and Emerging Research Paradigms
by Xiaowen Lu and Atour Taghipour
Logistics 2025, 9(2), 47; https://doi.org/10.3390/logistics9020047 - 27 Mar 2025
Viewed by 1388
Abstract
Background: The global supply chain landscape is undergoing a significant transformation with the increasing adoption of digital tools. Despite the potential benefits, many organizations struggle to effectively integrate these technologies due to a lack of systematic understanding and frameworks. At the same [...] Read more.
Background: The global supply chain landscape is undergoing a significant transformation with the increasing adoption of digital tools. Despite the potential benefits, many organizations struggle to effectively integrate these technologies due to a lack of systematic understanding and frameworks. At the same time, the academic literature on supply chain digitalization lacks a clear taxonomy and analysis of research paradigms that guide scholarly investigations. Methods: To address these gaps, this paper conducts a comprehensive literature review utilizing an analytic approach, based on abductive reasoning, that establishes an analytical framework to identify, assess, and examine the application of various digital technologies in supply chain management. Results: Based on this analysis, the authors propose new systematic dimensions for digitalization in supply chains, alongside emerging research paradigms in this field. Conclusions: The findings provide valuable insights into the current research landscape, offering a foundation for future investigations. Additionally, practical recommendations are presented for advancing research, education, and management practices, with the goal of promoting innovation and the effective implementation of digital technologies in supply chain management. Full article
(This article belongs to the Topic Sustainable Supply Chain Practices in A Digital Age)
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24 pages, 4145 KiB  
Article
Using Entropy Metrics to Analyze Information Processing Within Production Systems: The Role of Organizational Constraints
by Frits van Merode, Henri Boersma, Fleur Tournois, Windi Winasti, Nelson Aloysio Reis de Almeida Passos and Annelies van der Ham
Logistics 2025, 9(2), 46; https://doi.org/10.3390/logistics9020046 - 26 Mar 2025
Viewed by 561
Abstract
Background: The literature on measuring the complexity of production systems employs the graph and information theory. This study analyzes these systems and their coordination under varying states of control, with a focus on the probability of unfavorable events and their temporal characteristics. [...] Read more.
Background: The literature on measuring the complexity of production systems employs the graph and information theory. This study analyzes these systems and their coordination under varying states of control, with a focus on the probability of unfavorable events and their temporal characteristics. Methods: Coordination systems are represented as temporal networks, using entropy and node influence metrics. Two case studies are presented: a factory operating under the principles of the Toyota Production System (TPS) with adjacent (local) coordination and andon (global) coordination and a university obstetrics clinic with only adjacent (local) coordination. Results: Adjacent coordination leads to zero entropy in 38.40% of all situations in the TPS example, contrasted to 76.62% in the same system with andon coordination. Degree centrality of nodes outside of zero-entropy situations exhibits higher average and maximum values in andon coordination networks, compared to those with adjacent coordination in TPS. Entropy values in the university obstetric clinic range from 0.92 to 2.23, average degrees vary between 3 and 4.08, and maximum degrees range from 7 to 9. Conclusions: Coordination systems modeled as temporal networks capture the evolving nature of centralizing and decentralizing coordination in production systems. Full article
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27 pages, 5567 KiB  
Article
Logistics Hub Surveillance: Optimizing YOLOv3 Training for AI-Powered Drone Systems
by Georgios Tepteris, Konstantinos Mamasis and Ioannis Minis
Logistics 2025, 9(2), 45; https://doi.org/10.3390/logistics9020045 - 24 Mar 2025
Viewed by 546
Abstract
Background: Integrating artificial intelligence in unmanned aerial vehicle systems may enhance the surveillance process of outdoor expansive areas, which are typical in logistics facilities. In this work, we propose methods to optimize the training of such high-performing systems. Methods: Specifically, we [...] Read more.
Background: Integrating artificial intelligence in unmanned aerial vehicle systems may enhance the surveillance process of outdoor expansive areas, which are typical in logistics facilities. In this work, we propose methods to optimize the training of such high-performing systems. Methods: Specifically, we propose a novel approach to tune the training hyperparameters of the YOLOv3 model to improve high-altitude object detection. Typically, the tuning process requires significant computational effort to train the model under numerous combinations of hyperparameters. To address this challenge, the proposed approach systematically searches the hyperparameter space while reducing computational requirements. The latter is achieved by estimating model performance from early terminating training sessions. Results: The results reveal the value of systematic hyperparameter tuning; indicatively, model performance varied more than 13% in terms of mean average precision (mAP), depending on the hyperparameter setting. Also, the early training termination method saved over 90% of training time. Conclusions: The proposed method for searching the hyperparameter space, coupled with early estimation of model performance, supports the development of highly efficient models for UAV-based surveillance of logistics facilities. The proposed approach also identifies the effects of hyperparameters and their interactions on model performance. Full article
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24 pages, 3256 KiB  
Article
New Dimensions in the Study of Outsourcing Logistics Services: The Role of Digitalization in Enhancing Efficiency
by Péter Tamás
Logistics 2025, 9(2), 44; https://doi.org/10.3390/logistics9020044 - 24 Mar 2025
Viewed by 805
Abstract
Background: Ensuring cost-efficient and high-quality processes for logistics tasks is a significant competitive factor for companies. This includes not only improving existing processes but also examining outsourcing opportunities. Current trends, such as the increasing variety of products, shorter product life cycles, and [...] Read more.
Background: Ensuring cost-efficient and high-quality processes for logistics tasks is a significant competitive factor for companies. This includes not only improving existing processes but also examining outsourcing opportunities. Current trends, such as the increasing variety of products, shorter product life cycles, and a dynamically changing economic environment, necessitate frequent reviews and, if needed, the reorganization of logistics activities. Methods: Modern digitalization technologies (e.g., digital twins, artificial intelligence, etc.) open new possibilities for (re)evaluating outsourcing decisions, such as improving process transparency and leveraging optimization opportunities. The currently applied solutions are fragmented and, in many cases, do not integrate digitalization technologies and standardized examination processes, necessitating the development of a new process development framework concept. The research follows an inductive–deductive methodology, combining practical industrial experience with a thorough literature review. Results: The framework presented in this study enables a faster and more efficient evaluation compared to previous approaches by incorporating the application of digitalization technologies. The validity of the developed concept is demonstrated through a case study. Conclusions: The findings highlight the importance of integrating digitalization technologies into logistics process development to enhance decision-making and efficiency. The proposed framework provides a structured approach that facilitates a more effective evaluation of outsourcing decisions and process improvements. Full article
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