A centralized reinforcement learning approach for proactive scheduling in manufacturing.
Shuhui QuTianshu ChuJie WangJames O. LeckieWeiwen JianPublished in: ETFA (2015)
Keyphrases
- reinforcement learning
- manufacturing environment
- wafer fabrication
- manufacturing systems
- shop floor
- production planning
- flexible manufacturing systems
- round robin
- material handling
- scheduling algorithm
- dynamic scheduling
- function approximation
- learning algorithm
- manufacturing processes
- state space
- scheduling problem
- process planning
- quality control
- semiconductor manufacturing
- resource allocation
- temporal difference
- model free
- distributed environment
- machine learning
- optimal control
- optimal policy
- reinforcement learning algorithms
- peer to peer
- multi agent reinforcement learning
- manufacturing industry
- policy search
- manufacturing enterprises
- robotic control