Computational Intelligence Techniques for Sustainable Supply Chain Management

Herausgeber: Paul, Sanjoy Kumar; Kautish, Sandeep

• Broschiertes Buch

Produktbeschreibung

Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence techniques. This book focuses on addressing problems in advanced topics in the sustainable supply chain and will appeal to practitioners, managers, researchers, students, and professionals interested in sustainable logistics, procurement, manufacturing, inventory and production management, scheduling, transportation, and supply chain network design.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 468
• Erscheinungstermin: 23. Mai 2024
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443184642
• ISBN-10: 044318464X
• Artikelnr.: 69767801

Inhaltsangabe

1. A review of computational tools, techniques, and methods for sustainable
supply chains
2. Big Data Analytics in Construction: Laying the Groundwork for Improved
Project Outcomes
3. Role of UAVs in Sustainable Supply Chain: Queuing theory and Ant Colony
Optimization Approach
4. Applying Machine Learning to investigate the enablers of Sustainable
Supply Chain Management
5. Scenario Analysis for Long-term Planning: Stratified Decision-Making
Models in Sustainable Supply Chains
6. Machine Learning Techniques for Sustainable Industrial Process Control
7. Intelligent Sustainable Infrastructure for procurement and distribution
8. Machine Learning Techniques for Route Optimizations and Logistics
Management Description
9. Improving Sustainable Supply Chain through Robotics
10. Computational techniques for green procurement and production
11. Predictive big data analytics for supply chain demand forecasting
12. Bayesian Network Based on Cross Bow-tie to Analyze Differential Effects
of Internal and External Risks on Sustainable Supply Chain
13. Optimizing Supply Chain Operations through Digitalization and
Customer-centric Strategies: A Case Study of Bigbasket.com
14. Applications of Artificial Intelligence in Echo Global Logistics