An intelligent fuzzy decision system for a flexible manufacturing system with multidecision points

Chan, F. T. S., Chan, H. K. and Kazerooni, A. (2002) An intelligent fuzzy decision system for a flexible manufacturing system with multidecision points. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 216 (7). pp. 1021-1031. ISSN 0954-4054

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Abstract

This paper describes an intelligent fuzzy decision support system for real-time scheduling and dispatching of parts in a flexible manufacturing system (FMS), with alternative routing possibilities for all parts. A fuzzy logic approach is developed to improve the system performance by considering multiple performance measures and at multiple decision points. The characteristics of the system status, instead of parts, are fed back to assign priority to the parts waiting to be processed. A simulation model is developed and it is shown that the proposed intelligent fuzzy decision support system keeps all performance measures at a good level. The proposed intelligent system is a promising tool for dealing with scheduling FMSs, in contrast to traditional rules.

Item Type:	Article
Uncontrolled Keywords:	flexible manufacturing system (fms),fuzzy logic,multicriteria,multiple decision points,simulation
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Depositing User:	Pure Connector
Date Deposited:	17 Dec 2013 12:14
Last Modified:	24 Oct 2022 05:14
URI:	https://ueaeprints.uea.ac.uk/id/eprint/45174
DOI:	10.1243/09544050260174210

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