Risk Evaluation of Failure Mode Using Fuzzy AHP and Variable Weight Synthesizing

Article Preview

Abstract:

Aiming at the most critically debated disadvantage of risk evaluation of failure mode using traditional RPN (Risk Priority Number), that the degree of failure severity isn’t accurately evaluated and the three risk factors are assumed to be equally important. The method, risk evaluation of failure mode using fuzzy Analytic Hierarchy Process (AHP) and variable weight synthesizing is put forward. The model is separated into two layers. Firstly, according to the production loss, repair costs, safety affection and environment impact, fuzzy mathematics, AHP and encouragement variable weight synthesizing are introduced into the quantitative evaluation of failure severity to improve its accuracy and objectiveness. Then, via severity, occurrence, and detection, encouragement variable weight and AHP are used for failure mode risk evaluation to make evaluation results closer to the reality. At last, an example is provided to illustrate the potential applications of the proposed model and the detailed computational process is presented. And the result shows the accuracy and objectiveness can be improved by the proposed model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

414-419

Citation:

Online since:

September 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D.H. Stamatis: Failure Mode and Effect Analysis: FMEA from Theory to Execution. ASQC (Quality Press, Milwaukee, Wisconsin, 1995).

Google Scholar

[2] Luyue Ju: Journal of Shanghai University (Natural Science). Vol. 5, No. 2 (1999), p.138. (In Chinese).

Google Scholar

[3] M. Ben-Daya, A. Raouf: International Journal of Quality & Reliability Management. Vol. 13, No. 1 (1996), p.43.

Google Scholar

[4] J.B. Bowles: Journal of the IEST. Vol. 47 (2004), p.51.

Google Scholar

[5] Kwai-Sang Chin et al.: Decision Support Systems. Vol. 48(2009). p.246.

Google Scholar

[6] Saaty T L: Decision Making with Dependence and Feedback: The Analytic Network Process. (RWS Publications, Pittsburgh , 2001).

Google Scholar

[7] Hongxin Li: Fuzzy Systems and Mathematics Vol. 9, No. 3 (1995). p.1. (In Chinese).

Google Scholar

[8] PeiZhuang Wang: Fuzzy sets and Stochastic Sets Projection. (Beijing Normal University Press, Beijing, 1985). (In Chinese).

Google Scholar

[9] Wenqi Liu: Systems Engineering Theory & Practice. Vol. 20, No. 3 (2000). p.1. (In Chinese).

Google Scholar