Combinatorial Optimization and Artificial Intelligence for Logistics and Supply Chain Management and Production Efficiency

Dear Colleagues,

This Special Issue aims to explore the intersection of combinatorial optimization and artificial intelligence (AI) in enhancing logistics and supply chain management (SCM) and improving production efficiency. The focus will be on innovative methodologies with practical applications and case studies that demonstrate how these fields can synergistically advance operational efficiency and decision-making processes.

We invite contributions that address, but are not limited to, the following topics:

Combinatorial Optimization Techniques:
- Integer programming;
- Metaheuristics (e.g., genetic algorithms, simulated annealing);
- Exact algorithms for NP-hard problems in logistics.

Artificial Intelligence Applications:
- Machine learning and deep learning in predicting demand and optimizing inventory;
- AI-driven decision support systems for supply chain management;
- Reinforcement learning for dynamic routing and scheduling.

Integration of AI and Optimization:
- Hybrid models combining AI and optimization techniques;
- Real-time optimization in supply chains using AI;
- Case studies showcasing successful integration in logistics operations.

Sustainability and Efficiency:
- Sustainable logistics and supply chain practices enhanced by AI and optimization;
- Strategies for minimizing waste and maximizing resource utilization;
- Impact of AI on production efficiency and operational sustainability.

Emerging Trends and Technologies:
- The role of big data analytics in supply chain optimization;
- Blockchain technology and its implications for logistics;
- Internet of Things (IoT) applications in supply chain efficiency.

Researchers and practitioners are encouraged to submit original research articles, reviews, and case studies that contribute to the understanding of the role of combinatorial optimization and AI in logistics and supply chain management. All submissions will undergo a rigorous peer-review process to ensure the highest quality of published work.

Prof. Dr. Fernando Tohmé
Prof. Dr. Mariano Frutos
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.