Artificial Intelligence Techniques for Networked by E. Oztemel (auth.), Lyes Benyoucef, Bernard Grabot (eds.)

By E. Oztemel (auth.), Lyes Benyoucef, Bernard Grabot (eds.)

Enterprise networks provide a variety of new company possibilities, particularly for small and medium-sized organisations which are often extra versatile than greater businesses. with a view to prevail, despite the fact that, performances and anticipated advantages must be conscientiously evaluated and balanced: agencies needs to ascertain they join the correct community for the proper job and needs to locate an effective, versatile, and sustainable operating perform. A promising method of discovering one of these perform is to mix analytical tools and knowledge-based ways, in a allotted context.

Artificial intelligence (AI) strategies were used to refine decision-making in networked company approaches, integrating humans, info and items around the community limitations. Artificial Intelligence strategies for Networked production agencies Management addresses renowned thoughts and purposes of AI applied sciences within the administration of networked production corporations.

The goal of this ebook is to align most up-to-date practices, innovation and case reports with educational frameworks and theories, the place AI innovations are used successfully for networked production companies. extra in particular, it comprises the most recent study effects and initiatives at varied degrees addressing quick-response approach, theoretical functionality research, functionality and strength demonstration. The function of rising AI applied sciences within the modelling, review and optimisation of networked organisations’ actions at various selection degrees is additionally covered.

Artificial Intelligence strategies for Networked production businesses Management is a important advisor for postgraduates and researchers in commercial engineering, computing device technology, automation and operations research.

The Springer sequence in complicated Manufacturing publishes the easiest educating and reference fabric to aid scholars, educators and practitioners in production expertise and administration. This foreign sequence comprises complicated textbooks, examine monographs, edited works and convention lawsuits masking all matters in complex production. The sequence makes a speciality of new subject matters of curiosity, new remedies of extra conventional components and assurance of the functions of data and verbal exchange expertise (ICT) in manufacturing.

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168. ISBN 978-0-387-23851-7 Mok CK, Chin KS, ve Lan H (2008) An internet-based intelligent design system for injection moulds. Rob. Comput. Integr. , 24(1):1–15 Monfared MAS, Yang JB (2005) Multi-level intelligent scheduling and control system for an automated flow shop manufacturing environment. Int. J. Prod. , 43(1):147–168 Norrie, DH, Fauvel OR, Gaines BR (1990) Object-oriented management planning systems for advanced manufacturing. Int. J. Comput. Integr. , 3(6):373–378 Oztemel E (1992) Integrating expert systems and neural networks for intelligent statistical process control.

Once the user is seeking for a solution to his/her problem, the inference engine scans the knowledge base and identifies the solution on the basis of the knowledge articulated by the expert and makes it available in the knowledge base. The content of the knowledge base may increase in time and the system may be able to solve more complex problems. However, it is important to identify and populate the knowledge base with very basic knowledge at the first place in order to start solving the problems.

In order to achieve these, the computers or systems should be equipped with the capability of planning, learning, reasoning, monitoring, control, etc. Several methodologies are developed to create these capabilities. Several of them are highly effectively used in manufacturing systems. Note that there are various technologies, which are still in laboratories, and heavy academic research is carried out on them. Some AI techniques, however, show remarkable progress and are utilized in every area affecting human life.

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Artificial Intelligence Techniques for Networked by E. Oztemel (auth.), Lyes Benyoucef, Bernard Grabot (eds.)
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