Applied Mathematical Modeling in Supply Chain Networks and Manufacturing Systems
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 May 2026 | Viewed by 13
Special Issue Editor
Special Issue Information
Dear Colleagues,
Supply chain networks and manufacturing systems have become increasingly complex, interconnected, and data-driven. In such environments, decision-makers must address multiple, often conflicting objectives within uncertain and dynamic conditions. Mathematical optimization and decision analysis have proven to be powerful tools for modeling, analyzing, and improving these systems. In recent years, the integration of techniques has opened new opportunities for solving large-scale, multidisciplinary problems in these domains.
We are pleased to invite you to contribute to this Special Issue, “Applied Mathematical Modeling in Supply Chain Networks and Manufacturing Systems”, which seeks to advance state-of-the-art optimization and decision-making for supply chain and manufacturing systems.
This Special Issue aims to bring together researchers and practitioners to present innovative theoretical developments, methodological advances, and real-world applications of mathematical modeling in supply chains and manufacturing. The topics align with the journal’s scope by addressing quantitative modeling, computational optimization, and decision-support tools that can be applied to engineering, operations research, and industrial systems. Contributions that demonstrate the integration of advanced optimization methods with decision analysis tools, or that apply such methods to sustainability and emerging contexts, are especially welcome.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Mathematical programming for supply chain network design and optimization;
- Multi-objective optimization in manufacturing systems;
- Stochastic, robust, and fuzzy optimization in uncertain environments;
- Hybrid mathematical model frameworks for decision support systems;
- Multi-criteria decision analysis with uncertainty considerations;
- Goal programming methods in manufacturing and supply chain planning;
- Sustainable and emerging supply chain optimization and models;
- Data-driven and AI-enhanced optimization in supply chain analytics.
I look forward to receiving your contributions.
Dr. Kasin Ransikarbum
Guest Editor
Manuscript Submission Information
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Keywords
- mathematical optimization
- multi-criteria decision analysis
- supply chain network design
- manufacturing systems optimization
- mathematical metaheuristics
- decision support systems
- supply chain analytics
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