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Mathematics
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Intelligent Operations, Game Analysis and Decision Making in Platform-Based Supply...
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Intelligent Operations, Game Analysis and Decision Making in Platform-Based Supply Chains

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 March 2026 | Viewed by 865

Special Issue Editor

Dr. Zonghuo Li

E-Mail Website
Guest Editor
School of Politics and Public Administration, Soochow University, Suzhou 215123, China
Interests: logistics and supply chain management; E-commerce platform operation; game analysis; mathematical models

Special Issue Information

Dear Colleagues,

In the contemporary business landscape, platform-based supply chains have emerged as a pivotal force. These supply chains leverage digital platforms to integrate manufacturers, suppliers, retailers, and customers into a cohesive and dynamic ecosystem. This integration has not only enhanced efficiency but also introduced new complexities that require advanced methodologies to manage and optimize.

This Special Issue invites submissions exploring intelligent operations, game analysis, and decision making in platform-based supply chains. It seeks high-quality research leveraging mathematical models, algorithms, and computational analysis to address challenges in platform-based supply chain optimization, resource allocation, and strategic interactions. Topics of interest include, but are not limited to, the following:

  • Game analysis and decision making: Modeling competition, cooperation, and incentive design in platform-based supply chain.
  • Mathematical models and algorithms: Solving complex optimization problems in multi-agent platform systems.
  • Data-driven approaches: Extracting valuable insights to enhance strategic interactions and intelligent operations.
  • Computational and behavioral analysis: Optimizing performance in platform-retail ecosystems.

Dr. Zonghuo Li
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • platform-based supply chain
  • decision making
  • game analysis
  • mathematical models
  • intelligent operations
  • strategic interactions
  • operation optimization
  • platform-retail ecosystems

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Published Papers (2 papers)

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Research

22 pages, 749 KiB  
Article
Pricing Strategy and Blockchain-Enabled Data Sharing in Cross-Border Port Systems
by Huida Zhao and Chanjuan Liu
Mathematics 2025, 13(14), 2281; https://doi.org/10.3390/math13142281 - 15 Jul 2025
Viewed by 244
Abstract
The study examines the impact of pricing strategies on the competition and cooperation of cross-border ports, focusing on unified pricing and differential pricing. The results show that the inside border port can adopt a differentiation strategy to enhance its benefits, as this strategy [...] Read more.
The study examines the impact of pricing strategies on the competition and cooperation of cross-border ports, focusing on unified pricing and differential pricing. The results show that the inside border port can adopt a differentiation strategy to enhance its benefits, as this strategy allows for better control. Additionally, while the differentiated pricing strategy is an equilibrium strategy for the inside border port, blockchain technology can enhance the economic benefits of the inside border port under certain conditions, which also demonstrates the commercial value of blockchain in data sharing. Moreover, the expansion of port capacity can reduce the congestion of the inside border port to some extent under specific conditions. Finally, the study analyzes the environmental impact, tariff impact, and influence of port cooperation, which provides some management implications for inside border port. In summary, the findings highlight the potential of blockchain to optimize pricing strategy and promote cooperation between regional ports, thus improving economic benefits. Full article
(This article belongs to the Special Issue Intelligent Operations, Game Analysis and Decision Making in Platform-Based Supply Chains)
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34 pages, 2697 KiB  
Article
Pricing and Emission Reduction Strategies of Heterogeneous Automakers Under the “Dual-Credit + Carbon Cap-and-Trade” Policy Scenario
by Chenxu Wu, Yuxiang Zhang, Junwei Zhao, Chao Wang and Weide Chun
Mathematics 2025, 13(14), 2262; https://doi.org/10.3390/math13142262 - 13 Jul 2025
Viewed by 272
Abstract
Against the backdrop of increasingly severe global climate change, the automotive industry, as a carbon-intensive sector, has found its low-carbon transformation crucial for achieving the “double carbon” goals. This paper constructs manufacturer decision-making models under an oligopolistic market scenario for the single dual-credit [...] Read more.
Against the backdrop of increasingly severe global climate change, the automotive industry, as a carbon-intensive sector, has found its low-carbon transformation crucial for achieving the “double carbon” goals. This paper constructs manufacturer decision-making models under an oligopolistic market scenario for the single dual-credit policy and the “dual-credit + carbon cap-and-trade” policy, revealing the nonlinear impacts of new energy vehicle (NEV) credit trading prices, carbon trading prices, and credit ratio requirements on manufacturers’ pricing, emission reduction effort levels, and profits. The results indicate the following: (1) Under the “carbon cap-and-trade + dual-credit” policy, manufacturers can balance emission reduction costs and NEV production via the carbon trading market to maximize profits, with lower emission reduction effort levels than under the single dual-credit policy. (2) A rise in credit trading prices prompts hybrid manufacturers (producing both fuel vehicles and NEVs) to increase NEV production and reduce fuel vehicle output; higher NEV credit ratio requirements raise fuel vehicle production costs and prices, suppressing consumer demand. (3) An increase in carbon trading prices raises production costs for both fuel vehicles and NEVs, leading to decreased market demand; hybrid manufacturers reduce emission reduction efforts, while others transfer costs through price hikes to boost profits. (4) Hybrid manufacturers face high carbon emission costs due to excessive actual fuel consumption, driving them to enhance emission reduction efforts and promote low-carbon technological innovation. Full article
(This article belongs to the Special Issue Intelligent Operations, Game Analysis and Decision Making in Platform-Based Supply Chains)
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