An Improved FMEA Method Combining Component Importance and Fuzzy TOPSIS
Xuejiao Du, Di Wu, Jingbo Gai · 2024
This paper proposes an improved FMEA method that integrates component importance and Fuzzy-TOPSIS. The aim is to overcome the limitations of traditional FMEA methods, such as the significant subjective influence in determining risk factors O, S, and D, and the lack of consideration for the weights among risk factors. Notably, this is the first instance where component importance is incorporated into the FMEA method, thereby enhancing the precision of system failure mode ranking. The proposed method is applied to a water supply system, presenting the analysis process and results. The effectiveness and accuracy of the method are demonstrated through comparisons with other approaches. This method offers fresh perspectives for FMEA analysis, elevating the scientific rigor and precision of system FMEA analysis.