Risk evaluation in failure mode and effects analysis using fuzzy digraph and matrix approach

Hu-Chen Liu (), Yi-Zeng Chen (), Jian-Xin You () and Hui Li ()
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Hu-Chen Liu: Shanghai University
Yi-Zeng Chen: Shanghai University
Jian-Xin You: Shanghai University
Hui Li: Tongji University

Journal of Intelligent Manufacturing, 2016, vol. 27, issue 4, No 8, 805-816

Abstract: Abstract Failure mode and effects analysis (FMEA) is a widely used engineering technique for identifying and eliminating known and potential failures from systems, designs, products, processes or services. However, the conventional risk priority number method has been extensively criticized in the literature for a lot of reasons such as ignoring relative importance of risk factors, questionable multiplication procedure, and imprecisely evaluation. In this article, a new FMEA model based on fuzzy digraph and matrix approach is developed to solve the problems and improve the effectiveness of the traditional FMEA. All the information about risk factors like occurrence (O), severity (S) and detection (D) and their relative weights are expressed in linguistic terms, represented by fuzzy numbers. By considering the risk factors and their relative importance, a risk factors fuzzy digraph is developed for the optimum representation of interrelations. Then, corresponding fuzzy risk matrixes are formed for all the identified failure modes in FMEA and risk priority indexes are computed for determining the risk priorities of the failure modes. Finally, a case study of steam valve system is included to illustrate the proposed fuzzy FMEA and the advantages are highlighted by comparing with the listed methods.

Keywords: Failure mode and effects analysis; Risk evaluation; Fuzzy sets; Digraph and matrix approach (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s10845-014-0915-6

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