Integrated Process Planning and Scheduling for Service-Based Production with Digital Twins and Deep Q-Learning von Zai Müller-Zhang | ISBN 9783839620540

Integrated Process Planning and Scheduling for Service-Based Production with Digital Twins and Deep Q-Learning

von Zai Müller-Zhang, herausgegeben von Peter Liggesmeyer, Frank Bomarius und Jörg Dörr
Mitwirkende
Autor / AutorinZai Müller-Zhang
Herausgegeben vonPeter Liggesmeyer
Herausgegeben vonFrank Bomarius
Herausgegeben vonJörg Dörr
Buchcover Integrated Process Planning and Scheduling for Service-Based Production with Digital Twins and Deep Q-Learning | Zai Müller-Zhang | EAN 9783839620540 | ISBN 3-8396-2054-6 | ISBN 978-3-8396-2054-0

Integrated Process Planning and Scheduling for Service-Based Production with Digital Twins and Deep Q-Learning

von Zai Müller-Zhang, herausgegeben von Peter Liggesmeyer, Frank Bomarius und Jörg Dörr
Mitwirkende
Autor / AutorinZai Müller-Zhang
Herausgegeben vonPeter Liggesmeyer
Herausgegeben vonFrank Bomarius
Herausgegeben vonJörg Dörr

Scheduling complex production processes in real time is a challenging task because it typically takes hours to find optimal schedules. In recent years, reinforcement learning (RL) has shown great potential for solving complex scheduling problems. An appropriately trained RL agent can quickly respond to similar situations with near-optimal strategies to achieve good enough or even brilliant performance.
This work presents an efficient methodology to apply the deep Q-learning algorithm to integrated process planning and scheduling. The presented RL methods were proven to be efficient in finding near-optimal schedules in real time. Meanwhile, the trained RL agents show great flexibility in handling process deviations without sacrificing production performance.