Decision Analysis and Optimization in the Operations Research and Management Science

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 July 2026 | Viewed by 824

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Department of Information Management, Tamkang University, 151 Yingzhuan Rd., Tamsui Dist., New Taipei City 251301, Taiwan
Interests: software reliability; software project management; decision and negotiation support system; enterprise information system; data mining; soft computing

Special Issue Information

Dear Colleagues,

The Special Issue “Decision Analysis and Optimization in the Operations Research and Management Science” highlights the latest advancements in decision-making approaches, methodologies, and their applications in improving system efficiency. It covers various decision analysis techniques, including classic and emerging optimization methods, multi-criteria decision-making (MCDM), and heuristic approaches. This issue welcomes theoretical advancements, empirical studies, and case applications demonstrating the impact of decision analysis and optimization in diverse fields such as logistics, supply chain management, finance, healthcare, and industrial engineering.

Prof. Dr. Huan-Jyh Shyur
Guest Editor

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Keywords

  • multi-criteria decision-making (MCDM)
  • decision analysis
  • optimization methods
  • group decision-making
  • uncertainty in decision-making
  • fuzzy sets and fuzzy logic
  • heuristic methods

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Published Papers (1 paper)

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Research

20 pages, 1584 KB  
Article
Solving the High-Speed Railway Crew Matching Problem: From the Group Skill Balance and Crew Member Preference Perspective
by Wen Li, Yinzhen Li, Guiqian Luo, Tao Feng, Xiaorong Wang and Rui Xue
Mathematics 2026, 14(5), 845; https://doi.org/10.3390/math14050845 - 2 Mar 2026
Viewed by 385
Abstract
The crew matching problem (CMP) is a fundamental component of the crew scheduling problem, serving as a core element that determines the service quality of crew operations and the satisfaction of crew members. It refers to the planning of forming crew teams by [...] Read more.
The crew matching problem (CMP) is a fundamental component of the crew scheduling problem, serving as a core element that determines the service quality of crew operations and the satisfaction of crew members. It refers to the planning of forming crew teams by combining chief stewards and stewards. However, existing studies have not sufficiently explored this issue. Based on this, this study constructs a multi-objective optimization model for the crew matching plan from the dual perspectives of skill balance and crew team collaboration preferences. The GUROBI solver is employed to obtain exact solutions to the problem, and the model’s effectiveness is validated through small-scale numerical examples. Tests are further conducted from dimensions such as weight variation and problem scale, clarifying the maximum tractable problem size within acceptable computation time. A comparative analysis is performed against manually formulated crew matching plans. The results show that, compared with manually formulated plans, the crew matching plan improves the skill balance of crew team services by 5% and increases satisfaction by 80%, providing a quantitative basis for decision-making for high-speed railway crew management departments. Full article
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