An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment

Hu-Chen Liu, Jian-Xin You and Chun-Yan Duan

International Journal of Production Economics, 2019, vol. 207, issue C, 163-172

Abstract: Failure mode and effect analysis (FMEA) is a systematic, multidisciplinary team-based risk management tool used in diverse industries to help improve the safety and reliability of systems, designs, processes and/or services. However, the traditional FMEA method, when applied in real situations, shows some important drawbacks regarding failure mode evaluations, risk factor weights and risk priority ranking, etc. In this paper, we aim to develop an integrated risk prioritization approach to improve the performance of FMEA by using interval-valued intuitionistic fuzzy sets (IVIFSs) and the multi-attributive border approximation area comparison (MABAC) method. Moreover, a linear programming model is developed to obtain the optimal weights of risk factors when the weight information is incompletely known a priori. Finally, a practical example is presented to illustrate the applicability and effectiveness of the proposed FMEA, and results show that the new integrated approach offers a useful and reliable tool for rational criticality analysis.

Keywords: Failure mode and effect analysis; Interval-valued intuitionistic fuzzy sets; MABAC method; Incomplete weight information (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:207:y:2019:i:c:p:163-172

DOI: 10.1016/j.ijpe.2017.03.008

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