Product quality is a vital issue in the company. Therefore, it is essential to analyze the causes and risks of product failure. One of the methods used to identify this problem is the Failure Mode and Effect Analysis (FMEA) method. The traditional FMEA is based on the Risk Priority Number (RPN) value that has some weaknesses, and for example, while the number of the RPN is the same, it is possible to have different risks. This research uses the Grey Failure Mode and Effect Analysis (GFMEA) method. This method integrates traditional FMEA and Grey Theory through the Fuzzy Analytical Hierarchy Process (FAHP) to strengthen the FMEA method and increase the accuracy of RPN value by considering the failure factor weight. This research highlights a problem in a textile company, the Spinning V division. A continuous production process in a textile company needs to be minimized because failure in the previous process becomes an obstacle to the following process. This study aims to identify potential critical failures in the production process using the GFMEA method and provide suggestions for improvement. Data was obtained through observation and interviews with the company. The data processing with GFMEA obtained 50 potential failures that ten failures are critical and need to be prioritized. There were thick thin sliver drawing, deviated uster drawing, deviated ne drawing, deflated speed, neps carding, deflated ring, dirty winding, thick thin ring, web hole carding, and broken sliver carding with GRPN value 0.404084; 0.406152; 0.408895; 0.417443; 0.426736; 0.431085; 0.439939; 0.441411; 0.450704; 0.469499.