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Advances in Logistics and Supply Chain Management: Models, Methods and...
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Advances in Logistics and Supply Chain Management: Models, Methods and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 885

Editors

Dr. Gang Chen

E-Mail Website
Guest Editor
Lingnan College, Sun Yat-sen University, Guangzhou 510275, China
Interests: operations research; logistics and transportation; air transport; e-commerce fulfillment; warehousing optimization
Dr. Liang Xu

E-Mail Website
Guest Editor
Lee Kong Chian School of Business, Singapore Management University, Singapore 178899, Singapore
Interests: mechanism design; causal inference; behavioral operations; supply chain; pharmaceutical; healthcare; retail

Special Issue Information

Dear Colleagues,

Logistics and supply chain management practices are rapidly evolving due to digital transformation, sustainability demands, and increased global uncertainty. Addressing these complex challenges requires significant advances in theoretical models, computational methods, and practical applications. This Special Issue invites original research that contributes to these advances, offering innovative solutions for modern logistics and supply network.

We welcome submissions that develop and apply rigorous analytical approaches. Relevant methodologies include, but are not limited to, mathematical programming, stochastic optimization, machine learning and AI analytics, simulation, heuristic algorithms, multi-criteria decision analysis, and data-driven decision frameworks. Contributions could address contemporary challenges such as optimizing sustainable and resilient supply chain design; managing smart logistics and last-mile operations in urban environments; leveraging digital transformation through IoT, blockchain, and digital twins; and enhancing decision-making in areas like data-driven risk management, human-AI collaboration, and omnichannel fulfillment.

This collection seeks to bridge cutting-edge quantitative techniques with pressing industrial and societal challenges, providing a comprehensive reference for researchers and practitioners working to build more intelligent, adaptive, and sustainable logistics and supply chains.

Dr. Gang Chen
Dr. Liang Xu
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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

  • logistics and supply chain
  • decision making
  • mathematical modeling
  • optimization
  • data analytics
  • digital transformation
  • sustainability
  • artificial intelligence (AI)

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Published Papers (2 papers)

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Research

31 pages, 1002 KB  
Article
Stable Structure of Farsighted Manufacturers Coalitions Based on Blockchain Technology Considering Consumer Green Trust
by Dan Xiao, Jie Zhang, Housheng Duan, Yuxin Zhang and Xiaonan Ji
Mathematics 2026, 14(13), 2418; https://doi.org/10.3390/math14132418 (registering DOI) - 6 Jul 2026
Viewed by 183
Abstract
To trace carbon footprint information, applying blockchain technology has irreplaceable advantages for improving the green trust level of consumers, but it requires a large investment cost. Cooperative coalitions can be formed among manufacturers to reduce the burden of blockchain investment cost. In this [...] Read more.
To trace carbon footprint information, applying blockchain technology has irreplaceable advantages for improving the green trust level of consumers, but it requires a large investment cost. Cooperative coalitions can be formed among manufacturers to reduce the burden of blockchain investment cost. In this paper, the operational strategies of three manufacturers in terms of emission reduction competition are explored under different coalition structures concerning the green trust level of consumers, and the Largest Consistent Set concept is used to analyze the stable structure of the farsighted coalition of manufacturers. The results show that when the green trust is at a particularly high or low level, the structure of a single manufacturer applying blockchain is farsightedly stable; when the green trust level is low, a coalition involving two manufacturers applying blockchain is a farsightedly stable coalition structure; and when the green trust level is high, the structure of all manufacturers applying blockchain is farsightedly stable. Compared with cooperative coalitions, a single manufacturer applying blockchain is more likely to become a farsighted stable structure, and this possibility will increase with the improvement of the green trust level. As the green trust level rises, consumer surplus and social welfare are not always the highest when all manufacturers jointly apply blockchain, and achieving optimal consumer surplus or social welfare does not mean that the coalition is farsighted and stable. Full article
(This article belongs to the Special Issue Advances in Logistics and Supply Chain Management: Models, Methods and Applications)
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37 pages, 1545 KB  
Article
Dual-Channel Financing with Bank Credit and 3PL Direct Financing: Operational and Financing Decisions in a Capital-Constrained Supply Chain
by Yinghui Liu, Yinhua Xie and Jiancheng Lyu
Mathematics 2026, 14(10), 1643; https://doi.org/10.3390/math14101643 - 12 May 2026
Viewed by 400
Abstract
This study examines how bank financing and direct financing provided by a third-party logistics (3PL) firm affect the operational and financing decisions of a capital-constrained retailer. It focuses on a dual-channel financing setting in which both funding sources are available and investigates whether [...] Read more.
This study examines how bank financing and direct financing provided by a third-party logistics (3PL) firm affect the operational and financing decisions of a capital-constrained retailer. It focuses on a dual-channel financing setting in which both funding sources are available and investigates whether the retailer uses them simultaneously, how creditor priority affects equilibrium outcomes, and how procurement cost and logistics pricing shape financing choices. A Stackelberg game model is developed for a supply chain comprising a retailer, a 3PL firm, and a bank. Two benchmark settings, namely bank financing only and direct 3PL financing only, are first analyzed. The study then examines the dual-channel financing equilibrium when the 3PL firm acts as the senior creditor and further extends the model to consider bank seniority and endogenous logistics pricing. When the 3PL firm is the senior creditor, the retailer does not use both funding sources simultaneously in equilibrium; instead, it chooses either bank financing only or direct 3PL financing only. The 3PL firm prefers bank financing when logistics pricing is low and procurement cost is high, whereas it prefers direct financing when logistics pricing is high or when both logistics pricing and procurement cost are low. When logistics pricing is endogenous, the optimal lending rate set by the 3PL firm is zero. This study extends the literature on 3PL financing by explicitly incorporating a dual-channel financing structure that includes both bank credit and direct 3PL lending. It highlights the strategic role of creditor priority and shows how procurement cost and logistics pricing jointly shape the financing equilibrium, thereby providing managerial insights into financing design and operational decision-making in capital-constrained supply chains. Full article
(This article belongs to the Special Issue Advances in Logistics and Supply Chain Management: Models, Methods and Applications)
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