Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling by Bär, Schirin

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling (Paperback) (ISBN-13: 9783658391782)

Vendor: Schirin B舐
Product type: Books
Format: Paperback
$54.99
$54.99
$54.99
Subtotal: $54.99
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling by Bär, Schirin

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

$54.99
Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling by Bär, Schirin

Generic Multi-Agent Reinforcement Learning Approach for Flexible Job-Shop Scheduling

$54.99
Format: Paperback
Description
Description
x
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.


Author: Schirin B舐
ISBN-10: 3658391782
ISBN-13: 9783658391782
Publisher: Springer Vieweg
Language: English
Published: 10/02/2022
Pages: 148
Format: Paperback
Weight: 0.47lbs
Size: 8.27h x 5.83w x 0.37d
By Schirin B舐
By Schirin B舐
x

About the authorSchirin B舐 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.

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