Deep reinforcement learning for dynamic scheduling of a flexible job shop.
Renke LiuRajesh PiplaniCarlos ToroPublished in: Int. J. Prod. Res. (2022)
Keyphrases
- dynamic scheduling
- job shop
- reinforcement learning
- production scheduling
- process planning
- job shop scheduling
- scheduling problem
- flexible manufacturing systems
- resource constrained
- job shop scheduling problem
- tabu search
- ant colony algorithm
- lightweight
- computer aided
- single machine
- manufacturing systems
- real time
- evolutionary algorithm
- search algorithm
- computer aided design
- modeling method
- flowshop
- simulated annealing
- object oriented
- sensor networks
- dynamic programming