A novel FMEA approach considering risk factors interaction and quality loss cost

Failure modes and effects analysis (FMEA) has been employed by numerous industries to detect and eliminate potential failure modes. This article suggests a new FMEA approach that takes into account the interaction between risk factors in an uncertain and hesitant probabilistic fuzzy environment. The uncertainty and hesitance of experts are depicted by applying probabilistic hesitant fuzzy sets (PHFSs), and the relative relationships of risk factors are obtained by the Choquet integral and Shapley index. The k-means clustering algorithm is applied to determine the action priority of failure modes. Finally, for the high-risk failure modes, the quality loss costs are evaluated from the view of failure costs and prevention costs to give suggestions to engineers and managers. Furthermore, in order to demonstrate the efficacy of the proposed approach, a practical example of adhesive process for ventilation is provided to illustrate the demonstration of proposed FMEA methodology.