Application of fuzzy inference techniques to FMEA

Tay, Kai Meng and Lim, Chee Peng 2006, Application of fuzzy inference techniques to FMEA, Advances in soft computing, vol. 34, pp. 161-171, doi: 10.1007/3-540-31662-0_13.

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Title Application of fuzzy inference techniques to FMEA
Author(s) Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng
Journal name Advances in soft computing
Volume number 34
Start page 161
End page 171
Total pages 11
Publisher Springer
Place of publication Berlin, Germany
Publication date 2006
ISSN 1615-3871
Summary 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.
Notes This paper was presented at the 9th Online World Conference on Soft Computing in Industrial Applications 2004.
Language eng
DOI 10.1007/3-540-31662-0_13
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1.1 Refereed article in a scholarly journal
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Document type: Journal Article
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