Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management By Lyes Benyoucef, Bernard Grabot
Springer | 2010 | ISBN: 1849961182 | 510 pages | PDF | 14,6 MB
Springer | 2010 | ISBN: 1849961182 | 510 pages | PDF | 14,6 MB
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.
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