This research investigates the critical challenges faced by various industries in sustaining profitability amidst escalating process defects. Despite enhancements in management systems aimed at quality improvement, numerous sectors continue to confront issues stemming from outdated machinery, ineffective processes, and inadequate employee training. Conventional methods, such as enhanced quality control and workforce training, have often resulted in increased production costs without substantial reductions in defects, highlighting the necessity for a more effective approach. This study employs Analysis of Variance (ANOVA) to pinpoint the significant variables contributing to quality variance in the weaving process. The findings indicate that width and length are primary factors, accounting for over 45.22% of quality variance, while thread type contributes 23.06%. Additionally, factors such as the thickness of metallic threads and weight per unit have lesser impacts. This analysis empowers industries to concentrate their optimization efforts strategically, thereby fostering enhanced quality and overall profitability.