Dynamic Process Planning using Digital Twins and Reinforcement Learning.

Zai Müller-Zhang Pablo Oliveira Antonino Thomas Kuhn

Published in: ETFA (2020)

Keyphrases

process planning
reinforcement learning
computer aided
computer aided design
production scheduling
artificial intelligence
dynamic scheduling
query language
dynamic environments
function approximation
learning algorithm
case study
object oriented