Advanced Computational Modeling and Optimization in Operations Research and Supply Chain Management
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 2538
Special Issue Editor
Special Issue Information
Dear Colleagues,
Advances in optimization techniques and computational models are essential tools for addressing complex problems in the production of goods and services, logistics, and supply chains. However, the design and control of these systems continue to present significant challenges for decision-makers, organizations, and industries.
Computational modeling and optimization are fundamental components of modern practices in engineering and industry. Despite progress in computational methods and optimization approaches in recent decades, many relevant problems remain unresolved. Therefore, it is crucial to integrate the latest trends in modeling and optimization with practical applications that drive both academic advancement and professional impact.
This Special Issue aims to gather cutting-edge research addressing the application of advanced computational models and optimization techniques to solve complex problems in production, logistics, and supply chains.
Topics of interest include the following:
- Mathematical and computational models in operations.
- Advanced optimization techniques.
- Artificial intelligence in supply chains.
- Planning and scheduling with stochastic and deterministic models.
- Resilient and sustainable logistics networks.
- Case studies in industrial sectors.
We invite researchers to contribute original, high-quality work to this Special Issue.
Prof. Dr. Pedro Ivan Palominos
Guest Editor
Manuscript Submission Information
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Keywords
- optimization
- mathematical modeling
- operations research
- operations management
- logistics
- computation
- supply chain management
- artificial intelligence
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