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Application of fuzzy inference techniques to FMEA
In traditional Failure Mode and Effect Analysis (FMEA), the Risk Priority Number (RPN) ranking system is used to evaluate the risk level of failures, to rank failures, and to prioritize actions. This approach is simple but it suffers from several weaknesses. In an attempt to overcome the weaknesses associated with the traditional RPN ranking system, several fuzzy inference techniques for RPN determination are investigated in this paper. A generic Fuzzy RPN approach is described, and its performance is evaluated using a case study relating to a semiconductor manufacturing process. In addition, enhancements for the fuzzy RPN approach are proposed by refining the weights of the fuzzy production rules.
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Journal
Advances in soft computingVolume
34Pagination
161 - 171Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
1615-3871Language
engNotes
This paper was presented at the 9th Online World Conference on Soft Computing in Industrial Applications 2004.Publication classification
C1.1 Refereed article in a scholarly journalUsage metrics
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