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Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Af: Schirin Bar Engelsk Paperback

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

Af: Schirin Bar Engelsk Paperback
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The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.

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The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.

Produktdetaljer
Sprog: Engelsk
Sider: 148
ISBN-13: 9783658391782
Indbinding: Paperback
Udgave:
ISBN-10: 3658391782
Kategori: Machine learning
Udg. Dato: 2 okt 2022
Længde: 0mm
Bredde: 148mm
Højde: 210mm
Forlag: Springer Fachmedien Wiesbaden
Oplagsdato: 2 okt 2022
Forfatter(e): Schirin Bar
Forfatter(e) Schirin Bar


Kategori Machine learning


ISBN-13 9783658391782


Sprog Engelsk


Indbinding Paperback


Sider 148


Udgave


Længde 0mm


Bredde 148mm


Højde 210mm


Udg. Dato 2 okt 2022


Oplagsdato 2 okt 2022


Forlag Springer Fachmedien Wiesbaden