Integration of Deep Reinforcement Learning and Discrete-Event Simulation for Real-Time Scheduling of a Flexible Job Shop Production.
Sebastian LangFabian BehrendtNico LanzerathTobias ReggelinMarcel MüllerPublished in: WSC (2020)
Keyphrases
- discrete event simulation
- job shop
- semiconductor manufacturing
- production scheduling
- reinforcement learning
- job shop scheduling
- scheduling problem
- discrete event
- resource constrained
- job shop scheduling problem
- process control
- production system
- supply chain
- single machine
- flowshop
- process planning
- state space
- dynamic programming
- memetic algorithm
- computer aided
- tabu search
- computational complexity
- dynamic systems
- lightweight
- particle filter
- wireless sensor networks
- optimal solution