<![CDATA[This study was conducted at PT. XYZ, an automotive spare parts manufacturing company, which experienced a product defect rate of 5.4%, exceeding the company's tolerance limit of 3%. The types of defects found included dimension (non-standard size), scratch, burry (stuck cutting residue), and rusty (rust). The objectives of this study were to analyze quality control, identify the main causes of defects, and formulate improvement proposals using the Statistical Quality Control (SQC) method. Defect data from January to June 2024 were analyzed using check sheets, Pareto charts, and fishbone diagrams. The Pareto analysis results showed that burrs had the highest percentage, accounting for 28% of total defects. The FMEA analysis identified machine factors as the dominant cause, with the highest RPN value of 288 in cases of imprecise dies. Improvement recommendations focused on implementing a continuous maintenance schedule, replacing worn components, and readjusting dies, which are expected to reduce the defect rate to below 3% and improve production process stability. This research contributes to improving the quality and efficiency of automobile spare part production at PT. XYZ.]]>
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