Dynamic Scheduling in a Flow Shop Using Deep Reinforcement Learning.
Maria Grazia MarchesanoGuido GuizziLiberatina Carmela SantilloSilvestro VespoliPublished in: APMS (1) (2021)
Keyphrases
- dynamic scheduling
- flowshop
- reinforcement learning
- scheduling problem
- flexible manufacturing systems
- flowshop scheduling problems
- special case
- lot streaming
- flowshop scheduling
- tabu search
- processing times
- process planning
- single machine
- state space
- grid services
- np hard
- optimal policy
- markov decision processes
- parallel machines
- dynamic programming
- multistage
- harmony search algorithm