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Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung
Oliver Lohse
2023
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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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Keywords
- artificial intelligence
- Künstliche Intelligenz
- Mechanical engineering & materials
- Production control
- Produktionssteuerung
- reinforcement learning
- Scheduling
- Technology, engineering, agriculture
- Terminierung
Links
DOI: 10.5445/KSP/1000156002Editions