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. Ed(S): Benyoucef, Lyes; Grabot, Bernard - Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management - 9781849961189 - V9781849961189
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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

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Description for Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management Hardback. This text discusses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises. It includes the latest research in many areas and covers the role of emerging AI technologies. Editor(s): Benyoucef, Lyes; Grabot, Bernard. Series: Springer Series in Advanced Manufacturing. Num Pages: 530 pages, 228 black & white illustrations, 73 black & white tables, biography. BIC Classification: TGP; TGXT. Category: (P) Professional & Vocational. Dimension: 236 x 168 x 32. Weight in Grams: 894.

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.

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Product Details

Format
Hardback
Publication date
2010
Publisher
Springer London Ltd United Kingdom
Number of pages
530
Condition
New
Series
Springer Series in Advanced Manufacturing
Number of Pages
508
Place of Publication
England, United Kingdom
ISBN
9781849961189
SKU
V9781849961189
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Benyoucef, Lyes; Grabot, Bernard
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 ... Read more

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