Title: Computational intelligence for advanced manufacturing system management: a review

Authors: Louwrens J. Butler; Glen Bright

Addresses: Department of Mechanical Engineering, University of KwaZulu-Natal, Durban 4001, South Africa ' Department of Mechanical Engineering, University of KwaZulu-Natal, Durban 4001, South Africa

Abstract: The current economic climate spurred by growing customer demands are placing more and more pressure on manufacturing enterprises to improve efficiency and productivity more than before. Opportunities exist for implementing novel optimisation techniques to improve the capabilities of modern advanced manufacturing systems. Computational Intelligence (CI) is not a new topic of research; however recent advances in available computing power and new paradigms in the field have given rise to this research. This paper investigates the extent of CI applications in manufacturing system management, and undertakes to identify the latest CI paradigms which are applicable to manufacturing system management optimisation. The paper also summarises these applicable CI paradigms in such a way as to form the basis for future work in simulation and experimentation.

Keywords: computational intelligence; advanced manufacturing systems; AMS management; manufacturing management; system optimisation; simulation.

DOI: 10.1504/IJISTA.2014.068828

International Journal of Intelligent Systems Technologies and Applications, 2014 Vol.13 No.4, pp.258 - 266

Accepted: 28 Jul 2014
Published online: 13 Apr 2015 *

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