Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation.
Hao WangJiaqi TaoTao PengAlexandra BrintrupEdward Elson KosasihYuqian LuRenzhong TangLuoke HuPublished in: Int. J. Prod. Res. (2022)
Keyphrases
- supply chain
- multi agent simulation
- inventory control
- reinforcement learning
- supply chain management
- supply chain coordination
- inventory replenishment
- multi agent
- lead time
- bullwhip effect
- inventory management
- decision making
- operating costs
- optimal policy
- service level
- customer demand
- state space
- dynamic pricing
- finite horizon
- rfid technology
- machine learning
- optimal strategy
- markov decision processes
- learning algorithm