Editors:
- Aligns latest practice, innovation and case studies with academic frameworks and theories
- Includes most up-to-date research
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Advanced Manufacturing (SSAM)
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Table of contents (16 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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COSTEAM/LGIPM ISGMP Bat. A, INRIA Nancy-Grand Est, Metz, France
Lyes Benyoucef
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LGP/ENIT, Tarbes CX, France
Bernard Grabot
About the editors
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.
Bibliographic Information
Book Title: Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Editors: Lyes Benyoucef, Bernard Grabot
Series Title: Springer Series in Advanced Manufacturing
DOI: https://doi.org/10.1007/978-1-84996-119-6
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2010
Hardcover ISBN: 978-1-84996-118-9Published: 23 June 2010
Softcover ISBN: 978-1-4471-2568-6Published: 07 September 2012
eBook ISBN: 978-1-84996-119-6Published: 10 May 2010
Series ISSN: 1860-5168
Series E-ISSN: 2196-1735
Edition Number: 1
Number of Pages: XXII, 508
Number of Illustrations: 228 b/w illustrations
Topics: Artificial Intelligence, Manufacturing, Machines, Tools, Processes, Control, Robotics, Mechatronics, Industrial and Production Engineering