A modified method to improve failure analysis

Ilyas Mzougui () and Zoubir El Felsoufi
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Ilyas Mzougui: Abdelmalek Essaadi University
Zoubir El Felsoufi: Abdelmalek Essaadi University

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 2, No 2, 244 pages

Abstract: Abstract Failure mode and effects analysis (FMEA) is an effective method that is widely used to manage failures and prevent risks, and, thanks to its simplicity and its versatility, the most important and renowned quality norms request it use. However, in literature, several works have criticized this tool and claims that it had short-comes. The FMEA team members are considered with the same importance and failures values are calculated meaning their judgement and without any differentiation. Moreover, failures modes are supposed to be independent and the effect of their relationship is ignored in the risk analysis. The accuracy of the FMEA analysis is also reduced due to the fact that risk factors are supposed to have the same importance. In this article, we propose to combine FMEA with other methods in order to overcame it limitedness. Firstly, a criteria selection will be proposed in order to select the most relevant factors for risk analysis. Their weights will be calculated using the best worst method (BWM). Secondly, a weight associated to every team member will be calculated and used to obtain failures values. Thirdly, the design structure method (DSM) will be used to identify the relationship between failures and to judge their importance, we propose to use the fuzzy technique for order of preference by similarity method (FTOPSIS). In order to test the applicability and the effectiveness of this method, a case study will be proposed in the end.

Keywords: FMEA; RPN; Fuzzy AHP; DSM; FTOPSIS; BWM (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-020-01043-1

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