SCIENTIFIC APPROACH ON ANALYSIS OF FABRIC DEFECTS AND IMPROVISATION OF WORKING EFFICIENCY

Textile Technology

This industry-focused project conducts a comprehensive study of fabric defects arising during dyeing and finishing operations, aiming to evaluate their impact on production efficiency, fabric quality, and garment performance. The research follows a systematic inspection procedure where both knitted and woven fabrics are thoroughly examined to detect, classify, and measure various defects such as yarn pulling, slub yarn, needle lines, dye patches, colour variations, misprints, oil stains, handling marks, finishing defects, and other process-related irregularities. Each defect is carefully mapped, documented, and photographed when necessary. A frequency-based defect-point system is applied, assigning one point for every five repeated occurrences. This method allows for objective identification and prioritization of recurring problems rather than focusing solely on defect size or visual appearance. Using the collected defect data, the study performs an in-depth root cause analysis to trace issues back to possible sources, including raw material inconsistencies, incorrect machine settings, equipment wear, unstable processing parameters, operator errors, chemical variations, or environmental factors. Based on these findings, targeted corrective measures are proposed, such as optimizing dyeing temperature and pressure, adjusting machine speed and tension, refining finishing processes, improving inspection protocols, and strengthening operator training. In addition, preventive strategies are recommended, including stricter supplier quality control, enhanced raw material testing, routine machine maintenance, and real-time monitoring of key process parameters to reduce defect recurrence. The research demonstrates that even minor, repeated defects significantly lower fabric utilization during cutting, increase waste and rework, delay production timelines, and negatively affect customer satisfaction and brand image. Overall, the project establishes a strong relationship between defect frequency, operational inefficiencies, and production losses. It highlights the importance of data-driven quality management within industry and provides practical recommendations, performance indicators, and long-term monitoring systems aimed at reducing fabric rejection rates, improving process consistency, increasing throughput, and enhancing overall product quality in dyeing and finishing operations

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