Deep Reinforcement Learning and Optimization Approach for Multi-echelon Supply Chain with Uncertain Demands.
Júlio César AlvesGeraldo Robson MateusPublished in: ICCL (2020)
Keyphrases
- supply chain
- multi echelon
- lead time
- reinforcement learning
- planning horizon
- assembly systems
- decision making
- supply chain management
- customer demand
- service level
- inventory control
- distribution network
- bullwhip effect
- total cost
- lot sizing
- single item
- setup cost
- holding cost
- data mining
- state space
- capacity planning
- lot size
- decision makers
- lost sales
- robust optimization
- infinite horizon
- combinatorial optimization
- optimal control