Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / Schirin Bär.
Bär, Schirin, author.
2022
Q325.6
Available Online

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Title Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / Schirin Bär.
Author Bär, Schirin, author.
ISBN 9783658391799 (electronic bk.)
3658391790 (electronic bk.)
9783658391782
3658391782
DOI https://doi.org/10.1007/978-3-658-39179-9
Published Wiesbaden, Germany : Springer Vieweg, 2022.
Language English
Language Note Abtracts in German and English.
Description 1 online resource (xxii, 148 pages) : illustrations (some color)
Item Number 10.1007/978-3-658-39179-9 doi
Call Number Q325.6
Dewey Decimal Classification 006.3/1
Summary 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. 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 10, 2022).
Available in Other Form Print version: 9783658391782
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Record Appears in Online Resources > Ebooks
All Resources
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.

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