Implementation of Seven Tools in P4Head Defect Quality Control in the Automotive Component Industry
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Current industry developments are pushing automotive component companies to continuously improve and maintain product quality to remain competitive. This research aims to identify the types of defects that arise during the production process, analyze the causes of these defects, and formulate improvement proposals to reduce potential defects in P4head products. Seven Tools was used in this study to analyze data obtained from production reports for the period April to September 2025. The identification results showed that there were three types of defects in the P4head part, namely Sunpoudashi, ID 14.8 Topatsu, and ID 16.4 Mushire. Based on the Pareto diagram, Sunpoudashi defects were the most dominant type of defects with a percentage of 47% and ID 14.8 Topatsu at 39%. Root cause analysis of the two dominant defects, namely Sunpoudashi and ID 14.8 Topatsu, showed that factors contributing to the occurrence of defects based on the fishbone diagram included man, material, machine, method, and measurement. The proposed improvements focused on improving material quality control through incoming hardness and dimension inspections, strengthening the accuracy of the measurement system through routine calibration and method equalization, and stabilizing tool and machine conditions through the implementation of tool life management and preventive maintenance. Through this series of improvements, the potential for defects is expected to be minimized to improve overall product quality.
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