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Mathematics
Special Issues
Operations and Supply Chain Management with the Application of Mathematical...
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Operations and Supply Chain Management with the Application of Mathematical Models, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 444

Special Issue Editor

Prof. Dr. Huajun Tang

E-Mail Website
Guest Editor
School of Business, Macau University of Science and Technology, Macau, China
Interests: decision and optimization; supply chain financing; business analytics; supply chain management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to the application of mathematical models in operations and supply chain management to deal with various operations and supply chain practices, as well as to develop efficient and effective approaches that can be implemented to improve operations and supply chain performance. We request high-quality papers that explore state-of-the-art approaches and techniques in enabling sustainable operations and supply chain management (OSCM), as well as creative applications of mathematical models related to all aspects of OSCM.

Prof. Dr. Huajun Tang
Guest Editor

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. 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

  • green operations and supply chain management
  • dual-channel supply chain management
  • supply chain financing
  • supply chain coordination
  • decision support for production planning and scheduling
  • simulation optimization approaches in OSCM
  • data-driven approaches in OSCM
  • logistics system in OSCM
  • supplier management and outsourcing in OSCM
  • supply chain risk management
  • healthcare supply chain management
  • mathematical approaches for product safety in OSCM
  • robust and resilient supply chains
  • transshipment problems in OSCM

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Published Papers (1 paper)

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Research

37 pages, 1380 KB  
Article
Optimizing Low-Carbon Supply Chain Decisions Considering Carbon Trading Mechanisms and Data-Driven Marketing: A Fairness Concern Perspective
by Tao Yang, Yueyang Zhan and Huajun Tang
Mathematics 2026, 14(1), 104; https://doi.org/10.3390/math14010104 - 27 Dec 2025
Viewed by 254
Abstract
As low-carbon supply chains increasingly integrate green transition strategies with digital transformation, coordinating high-cost green technology investments with data-driven marketing (DDM) becomes a complex managerial task. While these dual investments are essential for market growth, the inherent tension between economic efficiency and fairness [...] Read more.
As low-carbon supply chains increasingly integrate green transition strategies with digital transformation, coordinating high-cost green technology investments with data-driven marketing (DDM) becomes a complex managerial task. While these dual investments are essential for market growth, the inherent tension between economic efficiency and fairness concerns often triggers strategic friction phenomenon whose impact under cap-and-trade regulations remains insufficiently explored. This paper investigates the strategic implications of fairness concerns in a low-carbon supply chain in which a manufacturer invests in carbon emission reduction and a retailer engages in data-driven marketing (DDM), under a cap-and-trade regulation. We formulate four Stackelberg game models—Neutral Benchmark (NF), Retailer Fairness (RF), Manufacturer Fairness (MF), and Bilateral Fairness (BF)—to analyze the interplay between behavioral equity and economic efficiency. The main analytical results indicate that (1) fairness concerns universally function as an “efficiency tax” on the supply chain system, where the rational benchmark consistently yields the highest system efficiency. In contrast, bilateral fairness concerns lead to the worst performance due to double friction effects. (2) Counter-intuitively, the retailer can “weaponize” fairness concerns to extract surplus from the leader. Specifically, in environments with high carbon emission reduction costs, a fairness-concerned retailer compels the manufacturer to grant significant wholesale price concessions, thereby achieving higher profits than in a purely rational setting. (3) The manufacturer’s fairness creates a “Benevolence Trap” for the follower; to balance equity, a fair manufacturer tends to underinvest in green technologies, which severely contracts market demand and, unlike the retailer fairness scenario, fails to yield economic benefits for the retailer. (4) A critical “regime-switching” dynamic exists regarding the carbon trading price. While the retailer benefits from fairness strategies in nascent carbon markets, a pivot to rationality becomes optimal as carbon prices surge and efficiency dividends dominate. These findings offer novel managerial insights for supply chain members to navigate behavioral complexities and for policymakers to align incentive mechanisms. Full article
(This article belongs to the Special Issue Operations and Supply Chain Management with the Application of Mathematical Models, 2nd Edition)
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