Optimization Models for Supply Chain, Planning and Scheduling
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 139
Special Issue Editor
Interests: applied mathematical sciences; optimization techniques; operational research techniques; numerical analysis; linear and non-linear programming; machine learning; explainable AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is devoted to recent research, current developments, and applications of mathematical methods applied to supply chain processes (planning and scheduling). This includes the principles and practice of the design, implementation, and analysis of exact and approximate optimization methods.
This Special Issue also focuses on optimization challenges in modern manufacturing, engineering, and transportation systems/logistics. It aims to present the most recent developments in operations research models and other applications of intelligent computing techniques used for planning and scheduling in a variety of manufacturing, scheduling, and transportation systems covering the whole supply chain. The topics of interest include but are not limited to the following:
- Heuristic and metaheuristic algorithms for planning and scheduling problems in supply chains (manufacturing, scheduling, transportation);
- Exact algorithms (brand and bounds, dynamic programming, etc.);
- Different scheduling and planning applications (timetabling, network routing, crew scheduling, production scheduling, resource-constrained project scheduling, route planning, etc.);
- Energy-efficient or multiobjective planning and scheduling problems;
- Artificial Intelligence and data analytics;
- Literature review articles on the above categories.
Dr. Charis Ntakolia
Guest Editor
Manuscript Submission Information
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Keywords
- optimization
- operations research
- machine learning
- supply chain
- planning
- scheduling
- manufacturing
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