Deep reinforcement learning for maintenance optimization of a scrap-based steel production line.
Waldomiro Alves Ferreira NetoCristiano Alexandre Virgínio CavalcantePhuc DoPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- production line
- reinforcement learning
- production system
- multistage
- assembly line
- material handling
- production process
- function approximation
- software maintenance
- constrained optimization
- data sets
- markov decision processes
- global optimization
- supervised learning
- model free
- state space
- learning problems
- multi objective
- optimization problems
- production planning
- temporal difference
- evolutionary algorithm
- expert systems
- neural network
- optimal policy