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Eng
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Supply Chain Engineering
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Supply Chain Engineering

A special issue of Eng (ISSN 2673-4117).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1206

Special Issue Editors

Dr. Asela K. Kulatunga

E-Mail Website
Guest Editor
Department of Engineering, Faculty of Environment, Science and Economics, University of Exeter, Exeter, UK
Interests: sustainable manufacturing; sustainable supply chain management; life cycle engineering; supply chain engineering
Dr. M. Vijaya Manupati

E-Mail Website
Guest Editor
Operations and Supply Chain Division, Indian Institute of Mumbai, Mumbai 400087, India
Interests: manufacturing systems design; supply chain engineering and resilience

Special Issue Information

Dear Colleagues,

Supply chains have grown from basic, localized manufacturing systems to sophisticated, globally linked networks because of technical advances such as containerization, computerization, and commercialization. However, the growth of e-commerce has resulted in enhanced visibility, shorter delivery times, and a greater emphasis on efficiency and sustainability across the supply chain process. Supply chain network design is important as it allows businesses to strategically plan, analyze, and optimize the flow of goods from suppliers to customers, with the goal of lowering costs, increasing efficiency, improving customer service, and identifying potential risks by carefully selecting warehouse locations, transportation routes, and inventory levels, ultimately giving businesses a competitive advantage by ensuring timely delivery and cost-effective operations. Supply chain engineering is the practice of designing, planning, and managing the flow of materials and information throughout a company's entire supply chain, from raw materials to the final product delivered to the customer, often utilizing engineering principles like optimization and modeling to improve efficiency and cost-effectiveness across the entire process; it includes aspects like logistics, production planning, inventory control, and distribution strategy. Supply chains accepted new technology quickly, but without paying enough attention to systems thinking, integration, and optimization. As a result, supply chain engineering has emerged as a new paradigm for maximizing advantages to global supply networks while also improving their resilience. This Special Issue welcomes unique papers in the fields of supply chain, network design, optimization, digitalization, AI and ML integration to enhance resilience and boost flexibility, as well as any work that falls within those subdomains.

Dr. Asela K. Kulatunga
Dr. M. Vijaya Manupati
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Eng is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • supply chain optimization
  • supply chain network design
  • supply chain reconfiguration
  • supply chain modeling and simulation

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Published Papers (3 papers)

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Research

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20 pages, 1213 KB  
Article
Optimization of Bunkering Logistics at Sea, Taking into Account Cost, Time and Technical Constraints
by Dmitry Pervukhin and Semyon Neyrus
Eng 2025, 6(12), 364; https://doi.org/10.3390/eng6120364 - 14 Dec 2025
Abstract
This study examines the organization of offshore bunkering operations with the aim of improving their economic and logistical efficiency. A mathematical model is proposed that minimizes the total cost of fleet refueling while accounting for technical limitations of vessels, service time windows, and [...] Read more.
This study examines the organization of offshore bunkering operations with the aim of improving their economic and logistical efficiency. A mathematical model is proposed that minimizes the total cost of fleet refueling while accounting for technical limitations of vessels, service time windows, and external operational constraints. The formulation extends classical vehicle routing approaches by incorporating fixed and variable costs as well as penalties for delays. A case study based on the Sea of Okhotsk fleet illustrates the application of the model to ten client vessels and four bunkering ships. Using mixed-integer programming combined with heuristic route construction, optimal routing solutions were obtained and tested under varying fuel prices, demand volumes, and fleet sizes. In a stylized one-day case study with ten client vessels located within a 100 km radius around Magadan, the results indicate that reducing the number of active bunkering vessels from four to three can lower overall operating costs while maintaining service quality, yielding indicative savings of approximately 12–18% relative to a simple sequential baseline policy in which bunkering vessels serve customers in a fixed order and the client set is partitioned roughly equally among vessels. The proposed approach provides a practical framework for decision-makers to enhance planning, resource allocation, and operational reliability in marine fuel supply chains. Full article
(This article belongs to the Special Issue Supply Chain Engineering)
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15 pages, 1007 KB  
Article
Simulated Annealing Integrated with Discrete-Event Simulation for Berth Allocation in Bulk Ports Under Demurrage Constraints
by Enrique Delahoz-Domínguez, Adel Mendoza-Mendoza and Daniel Mendoza-Casseres
Eng 2025, 6(12), 352; https://doi.org/10.3390/eng6120352 - 5 Dec 2025
Viewed by 196
Abstract
Efficient berth allocation remains a critical challenge in bulk port operations due to the stochastic nature of vessel arrivals and the complex interaction among loading resources. This study proposes an integrated optimisation–simulation framework to minimise total demurrage costs under uncertainty. The mathematical model [...] Read more.
Efficient berth allocation remains a critical challenge in bulk port operations due to the stochastic nature of vessel arrivals and the complex interaction among loading resources. This study proposes an integrated optimisation–simulation framework to minimise total demurrage costs under uncertainty. The mathematical model was formulated as a mixed-integer linear program (MILP) to determine the optimal assignment and sequencing of vessels to berths and shiploaders, subject to time-window and capacity constraints. The MILP was solved using a Simulated Annealing (SA) metaheuristic to improve computational efficiency for large-scale instances. Subsequently, the optimised berth plans were evaluated in FlexSim, a discrete-event simulation environment, to assess the operational variability arising from stochastic factors, including vessel arrival times, service durations, and loader availability. System performance was measured through vessel waiting time, berth utilisation rate, and demurrage cost variability across multiple replications. Results indicate that the proposed SA–FlexSim framework reduced average demurrage costs by 28.7% compared to the deterministic MILP and by 21.3% relative to standalone SA, confirming its effectiveness and robustness under uncertain operating conditions. The hybrid methodology provides a practical decision-support tool for terminal operators seeking to enhance scheduling reliability and cost efficiency in bulk port environments. Full article
(This article belongs to the Special Issue Supply Chain Engineering)
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Review

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22 pages, 3204 KB  
Review
Mapping the Sustainability-Resilience Nexus: A Scientometric Analysis of Global Supply Chain Risk Management
by Xiangcheng Meng, Ka-Po Wong, Chao Zhang and Tingxin Qin
Eng 2025, 6(12), 357; https://doi.org/10.3390/eng6120357 - 8 Dec 2025
Viewed by 255
Abstract
Global supply chains face unprecedented complexity as organizations must simultaneously achieve sustainability objectives and operational resilience amid evolving risk landscapes. Despite extensive research, the absence of systematic knowledge synthesis has limited understanding of how these dual imperatives intersect. This study conducts the first [...] Read more.
Global supply chains face unprecedented complexity as organizations must simultaneously achieve sustainability objectives and operational resilience amid evolving risk landscapes. Despite extensive research, the absence of systematic knowledge synthesis has limited understanding of how these dual imperatives intersect. This study conducts the first comprehensive scientometric analysis of global supply chain risk management research, examining 1228 peer-reviewed articles from major databases published from 2016 to June 2025. The study employed co-occurrence analysis, temporal burst detection, and network visualization to map the intellectual structure and evolutionary dynamics of this field. Our study reveals four distinct research clusters: risk factor identification (traditional and unconventional threats), environmental and social sustainability integration, technology-driven challenges, and innovative risk management methodologies. Temporal analysis demonstrates significant research acceleration post-2020, driven by pandemic disruptions, with emerging focus on cyberattacks, geopolitical conflicts, and ESG compliance challenges. The findings reveal critical gaps at the sustainability-resilience intersection, particularly paradoxical tensions where short-term resilience measures may compromise long-term sustainability goals. We propose four priority research directions: digital transformation frameworks balancing sustainability-resilience trade-offs, ESG-integrated early warning systems, adaptive governance mechanisms for unconventional risks, and policy frameworks addressing regulatory complexity. This systematic knowledge mapping provides theoretical foundations for future research and practical guidance for supply chain managers navigating dual sustainability-resilience objectives in an uncertain global environment. Full article
(This article belongs to the Special Issue Supply Chain Engineering)
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