Computational Intelligence Techniques for Sustainable Supply Chain Management

Índice: 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.