REDUCTION OF DEFECT RATE THROUGH INTEGRATION OF SIX SIGMA AND DIGITAL ANALYTICS IN AUTOMOTIVE MANUFACTURING

In the era of smart manufacturing and digital transformation, quality management has become a fundamental determinant of industrial competitiveness. Traditional quality inspection approaches are gradually being replaced by intelligent, data-driven production control systems. This study investigates the effectiveness of integrating Six Sigma methodology with Digital Analytics technologies to reduce defect rates in automotive manufacturing processes. The research applies statistical process control principles, predictive analytics techniques, and machine learning-assisted monitoring frameworks to evaluate production stability. The results demonstrate that digital quality management significantly improves process reliability and reduces manufacturing variability..