Deep Reinforcement Learning-Based Resilient Scheduling for Automotive Supply Chains: A Knowledge Discovery Approach for Adaptive Hub-and-Spoke Policies
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Supply Chain and Inventory Management
Scheduling and Optimization Algorithms
Publication details
- Journal / source
- SSRN Electronic Journal
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint