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dc.contributor.authorLohse, Oliver
dc.date.accessioned2023-04-24T11:23:57Z
dc.date.available2023-04-24T11:23:57Z
dc.date.issued2023
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/62536
dc.description.abstractThis 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.en_US
dc.languageGermanen_US
dc.relation.ispartofseriesReihe Informationsmanagement im Engineering Karlsruheen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materialsen_US
dc.subject.otherProduktionssteuerung; Reinforcement Learning; Künstliche Intelligenz; Terminierung; Production control; artificial intelligence; schedulingen_US
dc.titleEntwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerungen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000156002en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number25en_US
oapen.pages208en_US


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