Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

MAFMA: multi‐attribute failure mode analysis

MAFMA: multi‐attribute failure mode analysis The aim of this paper is to develop a new tool for reliability and failure mode analysis by integrating the conventional aspects of the popular failure mode and criticality analysis (FMECA) procedure with economic considerations. Here FMECA is approached as a multi-criteria decision making technique which integrates four different factors: chance of failure, chance of non-detection, severity, and expected cost. To aid the analyst to formulate an efficient and effective priority ranking of the possible causes of failure, the analytic hierarchy process technique is adopted. With this technique, factors and alternative causes of failure are arranged in a hierarchic structure and evaluated only through the use of a series of pairwise judgements. With this new approach to failure investigation, the critical FMECA problem concerning the (direct) evaluation of failure factors is also by-passed. The principles of the theory and an actual application in an Italian refrigerator manufacturing company are reported in the paper. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

MAFMA: multi‐attribute failure mode analysis

Loading next page...
 
/lp/emerald-publishing/mafma-multi-attribute-failure-mode-analysis-Gh0yBuuraw

References (29)

Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656710010353885
Publisher site
See Article on Publisher Site

Abstract

The aim of this paper is to develop a new tool for reliability and failure mode analysis by integrating the conventional aspects of the popular failure mode and criticality analysis (FMECA) procedure with economic considerations. Here FMECA is approached as a multi-criteria decision making technique which integrates four different factors: chance of failure, chance of non-detection, severity, and expected cost. To aid the analyst to formulate an efficient and effective priority ranking of the possible causes of failure, the analytic hierarchy process technique is adopted. With this technique, factors and alternative causes of failure are arranged in a hierarchic structure and evaluated only through the use of a series of pairwise judgements. With this new approach to failure investigation, the critical FMECA problem concerning the (direct) evaluation of failure factors is also by-passed. The principles of the theory and an actual application in an Italian refrigerator manufacturing company are reported in the paper.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Dec 1, 2000

Keywords: AHP; Multi‐attribute decision model

There are no references for this article.