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

journal contribution
posted on 2006-01-01, 00:00 authored by K Tay, Chee Peng LimChee Peng Lim
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.

History

Journal

Advances in soft computing

Volume

36

Pagination

301 - 310

Publisher

Springer

Location

Berlin , Germany

ISSN

1615-3871

Language

eng

Notes

This paper was presented at the 10th Online World Conference on Soft Computing in Industrial Applications 2005

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2006, Springer

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