CV Yumna Dress is an SME engaged in the production of Muslim clothing and faces the problem of high product defect rates. This study aims to design product quality improvements using the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The results of the identification show that the dominant types of defects are untidy stitching, holes in the fabric, and fabric stains. The sigma level is 3.83. Analysis using Pareto diagrams, fishbone diagrams, and FMEA shows that the root cause of the problem lies in human factors, specifically a lack of sewing skills. The proposed improvements include training, SOP development, and sewing machine maintenance. The control stage simulation resulted in a sigma value increase of 0.26 from 3.83 to 4.09. This study shows that the Six Sigma DMAIC method is effective in reducing defects and improving production process capabilities.
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