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Lyes (Hrsg.) Benyoucef

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

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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… Mehr

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Produktdetails


Weitere Autoren: Grabot, Bernard (Hrsg.)
  • ISBN: 978-1-84996-118-9
  • EAN: 9781849961189
  • Produktnummer: 5685813
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2010
  • Seitenangabe: 508 S.
  • Masse: H24.2 cm x B16.4 cm x D3.8 cm 910 g
  • Abbildungen: 228 schwarz-weiße Abbildungen, 4 schwarz-weiße Fotos, 224 schwarz-weiße Zeichnungen, 73 schwarz-weiße Tabellen
  • Gewicht: 910

Über den Autor


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.

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