Dynamic Scheduling of Maintenance by a Reinforcement Learning Approach - A Semiconductor Simulation Study.

Michael Geurtsen Ivo Adan Zümbül Atan

Published in: WSC (2022)

Keyphrases

simulation study
dynamic scheduling
reinforcement learning
flexible manufacturing systems
process planning
markov decision processes
monte carlo
state space
machine learning
dynamic programming
optimal policy
computer aided
learning algorithm
virtual environment
optimal control
scheduling policies