Fuzzy FMEA Application to Risk Assessment of Quality Control Process

Abstract

All of processes that are being performed are connected with the risk. Thus, manufacturing companies need to evaluate and react to these risks, as well as it is possible. One of the method recommended for risk assessment in production companies is Failure Mode and Effects Analysis (FMEA), which allows to calculate the risk and prioritize it. However, the FMEA is expert-knowledge based method, which makes it susceptible for the human-factor mistakes. The solution that allow to avoid uncertainty of FMEA is using the fuzzy sets, which is called fuzzy FMEA (fFMEA). The discussed case study is about the company that produces components being used in delivery vans – the production of these components need to end by the overall Final Quality Control (FQC), which means that 100% of components need to be controlled. This FQC process, like every else, is connected with the risk of mistakes. In the paper, the example of performing fuzzy FMEA in industry was described. In involves the analysis of FQC, which is very important, especially in automotive industry, where some of the possible risks or defects can result in danger for humans health or even a life. The aim of the research was to perform the risk evaluation of Final Quality Control (FQC) process, basing on the experts knowledge. The aim was reached by implementing the fuzzy FMEA method.