CNC machine tool FMECA reliability analysis method based on fuzzy VIKOR

In addressing challenges encountered in the conventional failure modes, effects, and criticality analysis (FMECA) for CNC machine tools, which involve issues in significant subjective factors and the impractical allocation of weights when using risk priority numbers during risk assessment, a fuzzy VIKOR based FMECA analysis method for the reliability analysis of CNC machine tools is proposed in this study. Firstly, the methodology involves a systematic analysis of failure modes in each subsystem of the CNC machine tool, followed by a meticulous evaluation of these modes using fuzzy linguistic assessments by an expert team. Subsequently, a triangular fuzzy number is employed to construct a fuzzy risk matrix for the failure modes of the CNC machine tool. Objective weights for various risk factors are determined utilizing the entropy weight method. Finally, the VIKOR theory is incorporated to compute the risk impact index, providing a comprehensive assessment and then conducting risk prioritization. This method has been validated through a practical application in the reliability analysis of CNC machine tools. The results indicate its capability to objectively identify high-risk areas in CNC machine tools, allowing for targeted improvement measures and ultimately enhancing the reliability of CNC machine tools.