Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine |
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| Authors: | Haiji Yang Guofa Li Jialong He Liding Wang Xinda Zhou |
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| Affiliation: | 1. Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, China;2. Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, China
School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China |
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| Abstract: | Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method. |
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| Keywords: | comprehensive weights failure mode and effect analysis fuzzy VIKOR method interval-valued triangular fuzzy number risk priority |
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