Failure Mode and Effect Analysis (FMEA) Approach Based on Avoidance of Aggregation Discrepancy

As a powerful forward-looking risk management technique, FMEA has been widely used for reliability and security analysis in engineering management fields. In practice, the implementation of FMEA involves the participation of multiple members with distinct knowledge, experience, and cultural background, thus, FMEA is a typical multicriteria group decision-making problem. However, the existence of the aggregation discrepancy issue in FMEA problems with group decision-making leads to collective evaluation conflicts that bring about decision bias for further risk management. This article proposes an AADFMEA method based on multiple-objective optimization to promote the accuracy and reliability of collective assessment information in FMEA members, in which the 10-point qualitative scale is used for evaluation. Additionally, the AADFMEA method responds to the different individual cognitions to a specific evaluation value from multiple members by constraining the risk prioritization to derive more reasonable collective risk evaluation information. Finally, two case studies are presented to show that the AADFMEA method has a good application value, and the simulation analysis was conducted to verify the effectiveness of the proposed AADFMEA approach.