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

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.

Bibliographic Details
Main Author: Lohse, Oliver
Format: eBook
Published: KIT Scientific Publishing 2023
Series:Reihe Informationsmanagement im Engineering Karlsruhe
Subjects:
Thema Editeur::t Technology, Engineering, Agriculture, Industrial Processes::tg Mechanical Engineering And Materials
Produktionssteuerung; Reinforcement Learning; Künstliche Intelligenz; Terminierung; Production Control; Artificial Intelligence; Scheduling
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
Physical Description:1 electronic resource (208 p.)
ISBN:1000156002

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