Real time fuzzy scheduling rules in FMS

Chan, Felix T. S., Chan, H. K. and Kazerooni, A. (2003) Real time fuzzy scheduling rules in FMS. Journal of Intelligent Manufacturing, 14 (3-4). pp. 341-350. ISSN 0956-5515

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Abstract

This paper presents a real-time fuzzy expert system to scheduling parts for a flexible manufacturing system (FMS). First, some vagueness and uncertainties in scheduling rules are indicated and then a fuzzy-logic approach is proposed to improve the system performance by considering multiple performance measures. This approach focuses on characteristics of the system's status, instead of parts, to assign priorities to the parts waiting to be processed. Secondly, a simulation model is developed and it has shown that the proposed fuzzy logic-based decision making process keeps all performance measures at a good level. The proposed approach provides a promising alternative framework in solving scheduling problems in FMSs, in contrast to traditional rules, by making use of intelligent tools.

Item Type:	Article
Uncontrolled Keywords:	expert systems,flexible manufacturing system (fms),fuzzy,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 12:00
Last Modified:	24 Oct 2022 05:14
URI:	https://ueaeprints.uea.ac.uk/id/eprint/45171
DOI:	10.1023/A:1024601826420

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