Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method

Jianghong Zhu, Bin Shuai, Rui Wang and Kwai-Sang Chin
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Jianghong Zhu: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Bin Shuai: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Rui Wang: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Kwai-Sang Chin: Department of System Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China

Mathematics, 2019, vol. 7, issue 6, 1-17

Abstract: As a safety and reliability analysis technique, failure mode and effects analysis (FMEA) has been used extensively in several industries for the identification and elimination of known and potential failures. However, some shortcomings associated with the FMEA method have limited its applicability. This study aims at presenting a comprehensive FMEA model that could efficiently handle the preference interdependence and psychological behavior of experts in the process of failure modes ranking. In this model, a linguistic variable expressed by the interval-valued Pythagorean fuzzy number (IVPFN) is utilized by experts to provide preference information with regard to failure modes’ evaluation and risk factors’ weight. Then, to depict the interdependent relationships between experts’ preferences, the Bonferroni mean operator is extended to IVPFN to aggregate the experts’ preference. Subsequently, an extended TODIM approach in which the dominance degree of failure modes is calculated by grey relational analysis is utilized to determine the risk priority of failure modes. Finally, a practical example concerning the risk assessment of a nuclear reheat valve system is provided to demonstrate the effectiveness and feasibility of the presented method. In addition, a sensitivity analysis and comparison analysis are conducted, and the results show that the preference interdependence and psychological behavior of experts have an important effect on the risk priority of failure modes.

Keywords: failure mode and effects analysis; preference interdependence; Bonferroni mean; TODIM; risk assessment (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2019
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