Intelligent systems in manufacturing: current developments and future prospects

Meziane, F ORCID: https://orcid.org/0000-0001-9811-6914, Vadera, S ORCID: https://orcid.org/0000-0001-6041-2646, Kobbacy, KAH and Proudlove, N 2000, 'Intelligent systems in manufacturing: current developments and future prospects' , Integrated Manufacturing Systems (currently published as: Journal of Manufacturing Technology Management), 11 (4) , pp. 218-238.

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Abstract

Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS.

Item Type:	Article
Additional Information:	Awarded the Highly Commended Award from the Literati Club, 2001
Themes:	Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science Subjects / Themes > K Law > K Law (General) > K3840 Regulation of industry, trade, and commerce. Occupational law > K3921 Manufacturing industries Subjects outside of the University Themes
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Integrated Manufacturing Systems (currently published as: Journal of Manufacturing Technology Management)
Publisher:	Emerald
Refereed:	Yes
ISSN:	09576061
Related URLs:	Publisher Publisher
Depositing User:	Prof Farid Meziane
Date Deposited:	16 Jan 2009 11:17
Last Modified:	15 Feb 2022 15:34
URI:	https://usir.salford.ac.uk/id/eprint/1673

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