A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems.
Jinling LengXingyuan WangShiping WuChun JinMeng TangRui LiuAlexander VoglHuiyu LiuPublished in: Int. J. Prod. Res. (2023)
Keyphrases
- manufacturing systems
- multi objective
- scheduling problem
- reinforcement learning
- evolutionary algorithm
- multi objective optimization
- flexible manufacturing systems
- optimization algorithm
- petri net
- single machine
- manufacturing environment
- quality control
- complex systems
- genetic algorithm
- flowshop
- particle swarm optimization
- objective function
- processing times
- multiple objectives
- multi objective optimization problems
- manufacturing processes
- setup times
- np hard
- job shop scheduling
- job shop
- shop floor
- tabu search
- production scheduling
- precedence constraints
- manufacturing enterprises
- job shop scheduling problem
- nsga ii
- manufacturing cell
- markov decision processes
- optimal policy
- sequencing problems
- state space
- manufacturing process
- control structure
- assembly line
- parallel machines
- cell formation
- multi agent
- learning algorithm
- dynamic programming
- search algorithm
- information systems