Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung

Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung

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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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Bibliographic Details
Main Author: Lohse, Oliver (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2023
Series:Reihe Informationsmanagement im Engineering Karlsruhe 25
Subjects:
Mechanical engineering & materials
Produktionssteuerung; Reinforcement Learning; Künstliche Intelligenz; Terminierung; Production control; artificial intelligence; scheduling
Online Access:OAPEN Library: download the publication
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