A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty |
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| Affiliation: | 1. College of Management, Shenzhen University, Shenzheng 518073, China;2. Commercial College, Xi’an International University, Xi’an 710077, China;3. CCCC Third Harbor Consultants Co., Ltd., Shanghai 200032, China;4. Institute of Transportation Studies, University of California Davis, Davis, CA 95616, USA;1. College of Science, North China University of Science and Technology, Tangshan 063210, PR China;2. Hebei Key Laboratory of Data Science and Applications, North China University of Science and Technology, Tangshan, Hebei 063210, PR China;1. Dept. of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA;2. Dept. of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA;1. National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China;2. Department of Electronics and Electrical Engineering, Liverpool John Moores University, Liverpool L3 3AF, U.K;3. The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis techniques due to its outstanding capabilities in identifying, assessing, and eliminating potential failure modes in a wide range of industrial applications. It provides a comprehensive view for investigating potential failures, causes, and effects in designs, products, and processes. However, traditional FMEA is extensively criticized for its defects in determining the criteria weights, identifying the risk priority of failure modes, and handling the uncertainty during the risk evaluation. To resolve these problems, this study proposes a novel fuzzy rough number extended multi-criteria group decision-making (FR-MCGDM) strategy to determine a more rational rank of failure modes by integrating the fuzzy rough number, AHP (analytic hierarchy process), and VIKOR (Serbian: VIseKriterijumska Optimizacija I Kompromisno Resenje). Above all, a fuzzy rough number is introduced to characterize experts’ judgment, aggregate group risk assessments, and tackle the uncertainty and subjectivity in the risk evaluation. Then a fuzzy rough number enhanced AHP is presented to determine the criteria weights. A fuzzy rough number enhanced VIKOR is proposed to rank the failure modes. A practical case study of the check valve is provided to validate the applicability of the proposed FMEA. Comparative studies demonstrate the efficacy of the proposed FR-MCGDM, with remarkable advantages in handling the uncertainty and subjectivity during failure modes evaluation. |
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| Keywords: | Failure mode and effects analysis (FMEA) AHP VIKOR Fuzzy rough number Uncertainty and subjectivity |
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