If less effective quality control is applied in the company repeatedly, the number of failed products will increase. The company can identify failures based on severity, occurrence, and detection criteria using the Failure Mode and Effect Analysis (FMEA) method. The result of multiplying the three criteria becomes the Risk Priority Number (RPN). However FMEA has a weakness that has attracted many criticisms, namely the potential for the same RPN results but not considering different failure risks. Thus, the FMEA method is integrated with grey theory to become a Grey Failure Mode and Effect Analysis (GFMEA) method that can improve RPN priority determination. Determination of the weight of importance between criteria in the GFMEA method is strengthened by the Fuzzy Analytical Hierarchy Process (FAHP) method so that the level of accuracy in determining the RPN will be better. This study aims to identify failures for each component in CV. ABC, electric batik stove company, and determine the priority of the causes of loss in the production process of electric batik stove products based on analysis using GFMEA method. However, there was no detail on the type of failure. So it was difficult to optimally determine the causal factors, root causes, and risk of loss. The analysis found nineteen failures can potentially cause failure in the company’s electric batik stove production process. Then, three potential failures with critical values  must be prioritized, including broken bowl heaters, uneven coloring, and slanted body folds with a Grey RPN result of 0,50001; 0,50512; and 0,51156.

Keywords

Quality control, Failure, production process, GRPN, GFMEA