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Englisch
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Beschreibung
The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.
The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.
Über den Autor
About the author
Schirin Bär researched at the RWTH-Aachen University at the Institute for Information Management in Mechanical Engineering (IMA) on the optimization of production control of flexible manufacturing systems using reinforcement learning. As operations manager and previously as an engineer, she developed and evaluated the research results based on real systems.
Inhaltsverzeichnis
Introduction.- Requirements for Production Scheduling in Flexible Manufacturing.- Reinforcement Learning as an Approach for Flexible Scheduling.- Concept for Multi-Resources Flexible Job-Shop Scheduling.- Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing.- Empirical Evaluation of the Requirements.- Integration into a Flexible Manufacturing System.- Bibliography.
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxii
148 S. 4 s/w Illustr. 35 farbige Illustr. 148 p. 39 illus. 35 illus. in color. |
ISBN-13: | 9783658391782 |
ISBN-10: | 3658391782 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Bär, Schirin |
Auflage: | 1st edition 2022 |
Hersteller: |
Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH |
Verantwortliche Person für die EU: | Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com |
Maße: | 210 x 148 x 10 mm |
Von/Mit: | Schirin Bär |
Erscheinungsdatum: | 02.10.2022 |
Gewicht: | 0,231 kg |
Über den Autor
About the author
Schirin Bär researched at the RWTH-Aachen University at the Institute for Information Management in Mechanical Engineering (IMA) on the optimization of production control of flexible manufacturing systems using reinforcement learning. As operations manager and previously as an engineer, she developed and evaluated the research results based on real systems.
Inhaltsverzeichnis
Introduction.- Requirements for Production Scheduling in Flexible Manufacturing.- Reinforcement Learning as an Approach for Flexible Scheduling.- Concept for Multi-Resources Flexible Job-Shop Scheduling.- Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing.- Empirical Evaluation of the Requirements.- Integration into a Flexible Manufacturing System.- Bibliography.
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxii
148 S. 4 s/w Illustr. 35 farbige Illustr. 148 p. 39 illus. 35 illus. in color. |
ISBN-13: | 9783658391782 |
ISBN-10: | 3658391782 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Bär, Schirin |
Auflage: | 1st edition 2022 |
Hersteller: |
Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH |
Verantwortliche Person für die EU: | Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com |
Maße: | 210 x 148 x 10 mm |
Von/Mit: | Schirin Bär |
Erscheinungsdatum: | 02.10.2022 |
Gewicht: | 0,231 kg |
Sicherheitshinweis