Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels.
Youshan LiuJiaxin FanLinlin ZhaoWeiming ShenChunjiang ZhangPublished in: Robotics Comput. Integr. Manuf. (2023)
Keyphrases
- flowshop
- dynamic scheduling
- scheduling problem
- reinforcement learning
- multi agent systems
- skill levels
- special case
- multi agent
- processing times
- flexible manufacturing systems
- tabu search
- sequence dependent setup times
- minimizing makespan
- single machine
- process planning
- lot streaming
- parallel machines
- grid services
- state space
- job shop
- optimal policy
- ant colony optimization
- intelligent agents
- flowshop scheduling problems
- precedence constraints
- service oriented