Abstract:
The garment industry, a cornerstone of global trade, depends heavily on stringent quality control measures to ensure customer satisfaction and maintain brand reputation. This study examines the critical role of sewing inspection within quality control, identifying key areas for improvement and proposing innovative solutions to address prevalent challenges. Utilizing a mixed-methods research design, the study combines theoretical frameworks with empirical research. Surveys, interviews, and observations conducted with industry experts, quality control personnel, and production workers provide insights into current practices and challenges. Statistical analysis of defect data reveals patterns and trends, leading to actionable recommendations. The findings highlight several key areas for improvement. First, effective training and skill development for sewing operators are crucial in reducing defects. Second, the adoption of advanced inspection technologies, such as automated defect detection systems, can significantly enhance the accuracy and efficiency of quality control processes. Third, the implementation of a multi-layered inspection process—comprising in-line, final, and audit inspections—has been shown to reduce defect rates and improve product consistency. Lastly, regular performance monitoring and feedback mechanisms are essential to sustaining high-quality standards and fostering continuous improvement. These insights contribute to the enhancement of garment quality, offering practical strategies to improve production processes. Beyond the garment industry, the findings provide valuable implications for other manufacturing sectors that rely on intricate assembly processes, ultimately advancing consumer satisfaction and strengthening industry reputation. From the summary of the collected data table I got the defects percentage, this visualization highlights the defect count for each defects, with "Broken stitch" having the highest total defects (14.75%) and "Open seam" (13.1%) and “needle cut" having the lowest (3,27 %).
