Optimizing Production Manufacturing Using Reinforcement Learning.
Sridhar MahadevanGeorgios TheocharousPublished in: FLAIRS Conference (1998)
Keyphrases
- reinforcement learning
- manufacturing processes
- production planning
- manufacturing process
- semiconductor manufacturing
- manufacturing industry
- quality control
- raw material
- production process
- product quality
- process planning
- production line
- manufacturing companies
- manufacturing systems
- function approximation
- markov decision processes
- model free
- shop floor
- optimal policy
- small medium enterprises
- state space
- mass production
- reinforcement learning algorithms
- machine learning
- infinite horizon
- optimal control
- action space
- action selection
- printed circuit boards
- lot size
- multi agent
- production system
- temporal difference learning
- learning algorithm
- robotic control
- manufacturing environment
- dynamic programming
- mobile robot
- knapsack problem
- integer programming
- product design
- production scheduling
- lot sizing
- neural network
- production cost