Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung / / Oliver Lohse.
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.
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Place / Publishing House: | Karlsruhe : : KIT Scientific Publishing,, 2023. |
Year of Publication: | 2023 |
Language: | German |
Physical Description: | 1 online resource (208 pages) |
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100 | 1 | |a Lohse, Oliver, |e author. | |
245 | 1 | 0 | |a Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung / |c Oliver Lohse. |
264 | 1 | |a Karlsruhe : |b KIT Scientific Publishing, |c 2023. | |
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520 | |a 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. | ||
650 | 0 | |a Reinforcement learning. | |
650 | 0 | |a Reinforcement learning |v Congresses. | |
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