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.
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| Formato: | Electrónico Capítulo de libro |
| Publicado: |
KIT Scientific Publishing
2023
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| Colección: | Reihe Informationsmanagement im Engineering Karlsruhe
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| Materias: | |
| Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
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DOAB: download the publicationDOAB: description of the publication
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |