Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Language: English
Published by Springer London, 2010
Series: Book 22 of 74 - Springer Series in Advanced Manufacturing
- Hardcover
- New
Condition: New
£ 171.16
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Add to basketItem description from seller
Aligns latest practice, innovation and case studies with academic frameworks and theoriesIncludes most up-to-date researchDr. Lyes Benyoucef received his PhD in Operations Research at the National Polytechnic Institute .
Seller Inventory # 4288557
- Title
- Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
- Author
- Benyoucef, Lyes|Grabot, Bernard
- Publisher
- Springer London
- Publication year
- 2010
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 1849961182
- ISBN 13
- 9781849961189
- Series
- Book 22 of 74: Springer Series in Advanced Manufacturing
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises.
The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises’ activities at different decision levels is also covered.
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Lyes Benyoucef received his PhD in Operations Research at the National Polytechnic Institute of Grenoble, France, in 2000 and his HDR (Research Director Thesis) degree from the University of Metz, France, in 2008. He is a senior researcher (CR1-HDR) at INRIA (the French National Institute for Research in Computer Science and Control). His main research interests include modelling and performance evaluation; and the simulation and optimization of supply chains and e-sourcing technologies.
Prof. Bernard Grabot teaches production management, industrial organization and ERP systems at the National Engineering School of Tarbes, France. He is a member of IFAC working groups on knowledge-based enterprise and editor-in-chief of the international journal, Engineering Applications of Artificial Intelligence. His main research interests concern the implementation of ERP systems, supply chain management and knowledge engineering.
"About the title" may belong to another edition of this title.
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