Mathematical Modelling and Optimization for Sustainable Operations Management, 2nd Edition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 266

Special Issue Editor


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Guest Editor
Faculty of Engineering, Universidad Panamericana, Guadalajara 45010, Mexico
Interests: operations research; logistics and supply chain management; optimization; metaheuristics; sustainability
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Special Issue Information

Dear Colleagues,

The Special Issue will focus on the application of mathematical models and optimization techniques to enhance sustainable operations management. Sustainability has been linked with development by the World Commission on Environment and Development (WCED), which defines it as "development that meets the needs of the present without compromising the ability of future generations to meet their own needs''. Furthermore, the United Nations has proposed 17 sustainable development goals (SDGs). As such, sustainable operations management is of increasingly interest and importance for both practical applications and research, with some modeling and optimization problems having been paid special attention. These include dynamic scheduling and planning, supply chain collaboration, location and allocation problems, inventory problems, and vehicle routing problems. Notably, there is growing interest from mathematical modelers on the topic of incorporating aspects of sustainability into their models.

In this Special Issue, we are interested in the modeling and optimization of sustainable operations management in a broad sense. The aim of this Special Issue is to bring together high-quality contributions across multiple fields of application, with a view to tackling real-world optimization problems where mathematical programming-based methods are used. Of particular interest are state-of-the-art contributions that analyze and provide insights and knowledge regarding applied methodologies in this field, especially for sustainable operations management. This includes applications of mathematical modelling and optimization techniques to any aspect associated with the UN Sustainable Development Goals. Specifically, this includes, but is not limited to, the following topics:

  • Mathematical methods for sustainable supply chain collaboration;
  • Mathematical programming-based sustainable inventory management;
  • Mathematical optimization for closed-loop supply chains;
  • Optimization and modes for waste reduction, recycling, and reuse in supply chains;
  • Stochastic programming and optimization for green logistics and transportation;
  • Mathematical and statistical analysis of efficiency for sustainable operations management practices;
  • Game theory in sustainable operations management;
  • Multicriteria evaluation and optimization for green manufacturing;
  • Optimization in dynamic planning and scheduling for sustainable operations management;
  • Models for 4.0 technologies applied to UN Sustainable Development Goals.

Prof. Dr. Elias Olivares-Benitez
Guest Editor

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Keywords

  • mathematical programming
  • supply chain optimization
  • multicriteria optimization
  • dynamic programming and optimization
  • stochastic programming and optimization
  • optimization algorithms
  • game theory
  • sustainable operations research
  • green logistics and transportation

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Published Papers (1 paper)

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Research

22 pages, 1975 KB  
Article
Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game
by Lili Zhang, Shuolei Hu, Lei Qiao and Kai Zhong
Mathematics 2025, 13(19), 3237; https://doi.org/10.3390/math13193237 - 9 Oct 2025
Viewed by 121
Abstract
Environmental monitoring is the basis of environmental protection. China’s existing environmental monitoring system has been relatively perfect, but there are still data fraud and other illegal issues. Blockchain technology can well meet the requirements of environmental monitoring, but there are many obstacles in [...] Read more.
Environmental monitoring is the basis of environmental protection. China’s existing environmental monitoring system has been relatively perfect, but there are still data fraud and other illegal issues. Blockchain technology can well meet the requirements of environmental monitoring, but there are many obstacles in its adoption process, so this paper combines the characteristics of blockchain technology to integrate the two stakeholders of government and polluting enterprises into a unified model and introduces parameters related to smart contracts and corruption. The dynamic evolutionary game theory, combined with numerical simulation, is used to explore the behavioral decision-making characteristics and change rules of relevant stakeholders. The results show that there are stable conditions for the three strategies. Compared with the development cost of blockchain, the management cost of blockchain has a greater impact on the strategy choice of polluting enterprises because the income of polluting enterprises adopting blockchain technology can greatly affect the strategy choice of polluting enterprises, and there is a positive correlation between the income and the willingness of polluting enterprises to choose blockchain technology; only the construction cost of blockchain will cause fluctuations in the government’s strategy choice, and other factors will not have a greater impact on the government’s choice. This study provides a useful reference for promoting the adoption of blockchain technology in the field of environmental protection. Full article
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