By E. Oztemel (auth.), Lyes Benyoucef, Bernard Grabot (eds.)
Enterprise networks provide a variety of new company possibilities, in particular for small and medium-sized organizations which are often extra versatile than better businesses. so that it will be triumphant, in spite of the fact that, performances and anticipated merits need to be conscientiously evaluated and balanced: corporations needs to ascertain they join definitely the right community for the ideal job and needs to locate an effective, versatile, and sustainable operating perform. A promising method of discovering this type of perform is to mix analytical equipment and knowledge-based methods, in a disbursed context.
Artificial intelligence (AI) innovations were used to refine decision-making in networked company methods, integrating humans, details and items around the community obstacles. Artificial Intelligence options for Networked production corporations Management addresses well known thoughts and functions of AI applied sciences within the administration of networked production firms.
The goal of this ebook is to align newest practices, innovation and case experiences with educational frameworks and theories, the place AI suggestions are used successfully for networked production businesses. extra particularly, it comprises the newest study effects and initiatives at various degrees addressing quick-response approach, theoretical functionality research, functionality and power demonstration. The function of rising AI applied sciences within the modelling, review and optimisation of networked businesses’ actions at assorted choice degrees can also be covered.
Artificial Intelligence suggestions for Networked production firms Management is a important advisor for postgraduates and researchers in commercial engineering, desktop technology, automation and operations research.
The Springer sequence in complex Manufacturing publishes the easiest instructing and reference fabric to help scholars, educators and practitioners in production know-how and administration. This foreign sequence comprises complicated textbooks, examine monographs, edited works and convention court cases masking all topics in complicated production. The sequence specializes in new themes of curiosity, new remedies of extra conventional components and insurance of the functions of data and communique know-how (ICT) in manufacturing.
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This necessitates different computing tech- 14 E. Oztemel nologies as opposed to traditional approaches. For example, knowledge is processed instead of data. Traditional algorithms are replaced by heuristic algorithms; and instead of numeric representation, symbolic representation is taken as the main focus. Moreover, AI systems may make mistakes as humans would do and can exhibit as much intelligence as their developers. Since they make decisions on the basis of the available knowledge, if the knowledge is not right, the respective decisions would not naturally be erroneous as well.
The term high, which is called a fuzzy variable, may be regarded differently by different people. Some may consider 25 degrees high whereas others do not. Since fuzzy logic is dealing with linguistic expressions like this, it is also referred as “computing with words”. Another good thing with fuzzy logic is that it may take a continuum approach and produce solutions for all alternatives and values. For example, suppose that the temperature is to be turned off when the temperature is 25 degrees.
4. 5. expert systems; artificial neural networks; genetic algorithms; fuzzy logic; and intelligent agents. Brief description of each of these is provided below. The readers are recommended to review the respective references for detailed information on each of these. 1 Expert Systems Expert systems are widely used in most of the industrial applications. Manufacturers may definitely exploit advantages of this technology for their own businesses. Expert systems make it possible to create intelligent software systems capable of solving problems in the same way as human experts would do when facing the same problems.
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management by E. Oztemel (auth.), Lyes Benyoucef, Bernard Grabot (eds.)