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.
Highlights
Failure mode and effects analysis (FMEA), which is a powerful engineering technique for risk management, has proven to be an effective methodology for accident prevention and risk analysis of a system/process to identify potential failure modes and assess the effects of different failure modes [1].The formal FMEA method was originally proposed by the aerospace industry in the 1960s to satisfy the apparent requirements of reliability and safety [2]
This study presents an integrated method by combing the Bonferroni mean and TODIM to deal with the ranking of failure modes
We proposed a new risk assessment method of FMEA by combing the WIVPFBM
Summary
Failure mode and effects analysis (FMEA), which is a powerful engineering technique for risk management, has proven to be an effective methodology for accident prevention and risk analysis of a system/process to identify potential failure modes and assess the effects of different failure modes [1]. The formal FMEA method was originally proposed by the aerospace industry in the 1960s to satisfy the apparent requirements of reliability and safety [2]. The aim of implementing FMEA is to help identify failure modes that affect a system’s functioning and to correct these failures by giving some suggestions. In conventional FMEA, the risk priority number (RPN), which is calculated by the product of severity (S), occurrence (O), and detection (D), is used to obtain the risk priority of failure modes. The RPN method is simple, in practical applications, it suffers some drawbacks, some of which are listed as follows [6,7,8]: (1) Different evaluations of risk factors may produce the same RPN
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