A Deep Reinforcement Learning Approach for Inventory Control under Stochastic Lead Time and Demand.
Manoj ShakyaBu-Sung LeeHuey Yuen NgPublished in: SSCI (2022)
Keyphrases
- inventory control
- lead time
- assembly systems
- reinforcement learning
- periodic review
- base stock policies
- demand distributions
- supply chain
- stochastic demand
- inventory models
- inventory systems
- optimal policy
- lost sales
- service level
- finite horizon
- single period
- single product
- planning horizon
- customer demand
- single item
- total cost
- inventory level
- lot sizing
- markov decision processes
- random variables
- holding cost
- learning algorithm
- single stage
- utility function
- setup cost
- lot size
- state dependent
- markov decision process
- state space
- infinite horizon
- inventory management
- supply chain management
- probabilistic model
- base stock policy
- sufficient conditions