Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to address the challenges associated with sustainable supply chain management. It offers insights into emerging and advanced modelling techniques to optimize supply chain operations while considering environmental, social, and economic factors. This book will be a valuable resource for researchers, practitioners, and policymakers interested in understanding and implementing sustainable supply chain management practices through computational approaches and modelling. This book helps researchers understand the opportunities, challenges, and solutions by developing innovative computational tools and techniques to integrate sustainability considerations into supply chain decision-making processes.
Part I: Introduction to Sustainable Supply Chain Management
1. Overview of Sustainable Supply Chain Management
Part II: Computational Approaches for Sustainable Supply Chain Management
2. Big Data Analytics for Sustainable Supply Chains
3. Advancements in Simulation and Hybrid Models for Sustainable and Resilient Supply Chains: A Multi-Criteria Decision-Making Perspective
4. Optimization Models for Sustainable Supply Chain Design
5. Green Transportation and Logistics Optimization
Part III: Supply Chain Management through Computational Modelling
6. Risk Assessment and Management in Supply Chains
7. Demand Forecasting and Inventory Management for Supply Chains Sustainability
8. Real-Time Decision-Making and Adaptability in Supply Chains
Part IV: Case Studies and Future Directions
9. Case Studies in Sustainable Supply Chain Management
10. Future Directions and Emerging Trends in Computational Approaches
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