A guided rule reduction system for prioritization of failures in fuzzy FMEA

Tay, Kai Meng and Lim, Chee Ping 2006, A guided rule reduction system for prioritization of failures in fuzzy FMEA, Advances in soft computing, vol. 36, pp. 301-310.

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Title A guided rule reduction system for prioritization of failures in fuzzy FMEA
Author(s) Tay, Kai Meng
Lim, Chee Ping
Journal name Advances in soft computing
Volume number 36
Start page 301
End page 310
Total pages 10
Publisher Springer
Place of publication Berlin , Germany
Publication date 2006
ISSN 1615-3871
Keyword(s) Firing strength
FMEA
Fuzzy logic
Guided rule reduction system (GRRS)
Summary Traditional Failure Mode and Effect Analysis (FMEA) utilizes the Risk Priority Number (RPN) ranking system to evaluate the risk level of failures, to rank failures, and to prioritize actions. Although this method is simple, it suffers from several shortcomings. In this paper, use of fuzzy inference techniques for RPN determination in an attempt to overcome the weaknesses associated with the traditional RPN ranking system is investigated. However, the fuzzy RPN model, suffers from the combinatorial rule explosion problem. As a result, a generic rule reduction approach, i.e. the Guided Rule Reduction System (GRRS), is proposed to reduce the number of rules that need to be provided by users during the fuzzy RPN modeling process. The proposed approach is evaluated using real-world case studies pertaining to semiconductor manufacturing. The results are analyzed, and implications of the proposed approach are discussed.
Notes This paper was presented at the 10th Online World Conference on Soft Computing in Industrial Applications 2005
Language eng
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2006, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048087

Document type: Journal Article
Collection: Institute for Frontier Materials
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