Entwicklung einer Methode zum Einsatz von Reinforcement Learning f�r die dynamische Fertigungsdurchlaufsteuerung
Lohse, Oliver
Entwicklung einer Methode zum Einsatz von Reinforcement Learning f�r die dynamische Fertigungsdurchlaufsteuerung - KIT Scientific Publishing 2023 - 1 electronic resource (208 p.) - Reihe Informationsmanagement im Engineering Karlsruhe 25 .
Open Access
This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is validated on a theoretical and a real scheduling case.
Creative Commons
German
KSP/1000156002
10.5445/KSP/1000156002 doi
Mechanical engineering & materials
Produktionssteuerung; Reinforcement Learning; K�nstliche Intelligenz; Terminierung; Production control; artificial intelligence; scheduling
Entwicklung einer Methode zum Einsatz von Reinforcement Learning f�r die dynamische Fertigungsdurchlaufsteuerung - KIT Scientific Publishing 2023 - 1 electronic resource (208 p.) - Reihe Informationsmanagement im Engineering Karlsruhe 25 .
Open Access
This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is validated on a theoretical and a real scheduling case.
Creative Commons
German
KSP/1000156002
10.5445/KSP/1000156002 doi
Mechanical engineering & materials
Produktionssteuerung; Reinforcement Learning; K�nstliche Intelligenz; Terminierung; Production control; artificial intelligence; scheduling