Determination of failures priority based on FMEA, fuzzy sets, and fuzzy logic rules

Abstract

In the automotive industry, the evaluation and analysis of failures are conducted by applying the conventional Failure Mode and Effect Analysis (FMEA). The technological, political, market, and other changes, as well as limited financial resources allocated for enhancement, require emerging models for failure analysis. In this research, the priority of failures is obtained by using the proposed fuzzy method based on fuzzy logic rules. All existing uncertainties in the examined problem are described by linguistic expressions which are modelled by using the fuzzy sets theory. The weights vector of risk factors is obtained by the fuzzy Best Worst Method. The priority of failures is determined by using fuzzy IF THAN rules. The obtained priority is compared with the priority of failures which is given by using conventional FMEA. The proposed model is tested on the FMEA report which came from one automotive company that operates in the Republic of Serbia.