Springer Series in Advanced Manufacturing

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

Editors: Benyoucef, Lyes, Grabot, Bernard (Eds.)

  • Aligns latest practice, innovation and case studies with academic frameworks and theories
  • Includes most up-to-date research
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eBook $269.00
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  • ISBN 978-1-84996-119-6
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Hardcover $339.00
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  • ISBN 978-1-84996-118-9
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  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
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  • ISBN 978-1-4471-2568-6
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About this book

Enterprise networks offer a wide range of new business opportunities, especially for small and medium-sized enterprises that are usually more flexible than larger companies. In order to be successful, however, performances and expected benefits have to be carefully evaluated and balanced: enterprises must ensure they become a member of the right network for the right task and must find an efficient, flexible, and sustainable working practice. A promising approach to finding such a practice is to combine analytical methods and knowledge-based approaches, in a distributed context.

Artificial intelligence (AI) techniques have been used to refine decision-making in networked enterprise processes, integrating people, information and products across the network boundaries. 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.

The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.

About the authors

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.

Table of contents (16 chapters)

  • Intelligent Manufacturing Systems

    Oztemel, E.

    Pages 1-41

  • Agent-based System for Knowledge Acquisition and Management Within a Networked Enterprise

    Soroka, A. J.

    Pages 43-86

  • Multi-agent Simulation-based Decision Support System and Application in Networked Manufacturing Enterprises

    Ding, H. (et al.)

    Pages 87-105

  • A Collaborative Decision-making Approach for Supply Chain Based on a Multi-agent System

    Ouzrout, Y. (et al.)

    Pages 107-127

  • Web-services-based e-Collaborative Framework to Provide Production Control with Effective Outsourcing

    Keshari, A. (et al.)

    Pages 129-159

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-1-84996-119-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
  • ISBN 978-1-84996-118-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-1-4471-2568-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Editors
  • Lyes Benyoucef
  • Bernard Grabot
Series Title
Springer Series in Advanced Manufacturing
Copyright
2010
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84996-119-6
DOI
10.1007/978-1-84996-119-6
Hardcover ISBN
978-1-84996-118-9
Softcover ISBN
978-1-4471-2568-6
Series ISSN
1860-5168
Edition Number
1
Number of Pages
XXII, 508
Number of Illustrations and Tables
228 b/w illustrations
Topics