Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes

Abstract

The Failure Mode and Effects Analysis (FMEA) is a methodology used in discrete manufacturing industries to identify and evaluate risks. It focuses on three factors: Severity, Occurrence, and Detection (SOD), which are individually assessed for each failure mode. However, conventional risk assessments often overlook the interconnectedness of risks within a system. To enhance this process, incorporating cause-and-effect relationships between risks can be beneficial. This study addresses this limitation by utilizing the network structure of FMEA. It introduces the Choquet integral, a fuzzy measurement theory, to quantify the influence of assessment factors on one another through cause-and-effect connections. By integrating failure modes based on their significance, this method updates SOD values to reflect these relationships. Ultimately, the Choquet integral is repurposed to rank failures, ensuring a balanced consideration of assessment factors and preventing the dominance of a single factor. To showcase the effectiveness of this approach, a case study is conducted involving failures within an auto parts production unit. The proposed method demonstrates the advantages of accounting for interconnectedness among failure modes, offering a more comprehensive and accurate risk assessment process.