Abstract
The purpose of this research article is to develop a hybridization between the Failure Mode and Effect Analysis (FMEA) method and the Combinative Distance-Based Assessment (CODAS) method under Pythagorean Fuzzy environment. The traditional FMEA procedure is based on the multiplication between the parameters of severity, occurrence, and detectability where everyone has equal relative importance; therefore, different combinations of these parameters can generate the same result creating uncertainty in the analysis. In this mode, the hybridization proposed in this research deal with relative importance of each parameter; in the fact to have a more suitable combination which consider the level of knowledge of the experts in the assessment. Finally, a numerical case was carried out concerning the public transportation service to validate our proposal; the results show that 31 failure modes and potential risks can be evaluated using user perceptions, a dominant with high level of knowledge about the public transportation service and an apprentice or common user, as team of experts and exploiting the subjectivity of the information in a mathematical model. Also, we compare the results with a variation of the proposed model with the multi-criteria method multi-objective optimization method by relationship analysis (MOORA); it was observed that the convergence of the failure modes depends on the nature of the mathematical model even under the same conditions at the start.
Highlights
In the same time, according to Liu [10], for the traditional Failure Mode and Effect Analysis (FMEA), the risk associated with identified failure modes can be assessed and prioritized for proactive intervention and corrective actions, especially for the more serious aspects identified to improve reliability and security of a system, product, process, design or services thought the appraisal of the risk parameters of severity (S), occurrence (O), and detection (D) of failure to calculate the risk priority number (RPN) or criticality index [11], where the highest value is the most important risk, and so on
We develop a hybridization between FMEA method and the Combinative DistanceBased Assessment (CODAS) method under Pythagorean Fuzzy environment
Liu et al [18] calculate the relative importance of the risk parameters when FMEA team give their opinions to aggregated them using the IFWA operator, the IFW-TOPSIS calculates which fault is closest to the ideal point
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In the same time, according to Liu [10], for the traditional FMEA, the risk associated with identified failure modes can be assessed and prioritized for proactive intervention and corrective actions, especially for the more serious aspects identified to improve reliability and security of a system, product, process, design or services thought the appraisal of the risk parameters of severity (S), occurrence (O), and detection (D) of failure to calculate the risk priority number (RPN) or criticality index [11], where the highest value is the most important risk, and so on. On the other hand, according to literature review, there are three relevant gaps in traditional FMEA method that need to be addressed: It assumes that the relative importance of the severity, occurrence and detection parameters are equal affecting the evaluation of failure modes [4,16].
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