AN IN-LINE CONTROL MODEL PROPOSAL DEVELOPED TO REDUCE MANUFACTURING DEFECTS IN GARMENT INDUSTRY SEWING LINE

AN IN-LINE CONTROL MODEL PROPOSAL DEVELOPED TO REDUCE MANUFACTURING DEFECTS IN GARMENT INDUSTRY SEWING LINE

This study was conducted in order to reveal the efficiency level of the 1/7 in-line control system (ICS) developed to determine the factors affecting the quality of the products produced in the garment industry sewing line and to reduce the defect rates. The production of a tights model produced from interlock fabric which contains 60% Pes, 35%Viscose and 5%Lycra was examined. During the first 12 days of production observation, the production flow has not been intervened. During the second 12-day experiment, the developed ICS was applied on the line. The products coming out of the band were checked according to the sewing control form and the error rates on operation basis and the effect of these errors on the cost were calculated. The defect rates on operation basis and the effect of these defects on the cost were calculated. One-way analysis of variance (Oneway Anova), Duncan test, correlation analysis and Paired Samples T-test were applied to the obtained data. According to the statistical results, it has been determined that the recommended ICS reduces the daily number of defective products by 81% and as a result, it provides a 77% reduction in the total defect related cost.

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  • 1. Strategic Quality Management, Malcolm Baldrige and European Quality Awards and ISO 9000 Certification: Core Concepts and Comparative Analysis.
  • 2. Kaya, S., Erdoğan, Ç., 2008, A research about factors whıch cause qualıty defects ın apparel plants at the sewıng department, Textile and Apparel, 18 (2), 135-141.
  • 3. Kaya, S., 2001, Quality control in apparel. İzmir: Ege University Textile and Apparel research application center publication.
  • 4. Duran, C., Çetindere, A., 2012, Analysis of product faults with statistical process control techniques at a facility operating in the apparel industry, Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 21: 233-254pp.
  • 5. Erdoğan, M., Kayaalp, İ, D., 2009, Decreasıng sewıng defects by usıng statıstıcal process control methods ın the apparel factory, Textile and Apparel, 19 (2), 169- 174.
  • 6. Pavol, G., 2015, Continuous Quality Improvement by Statistical Process Control. Proceedings of Business Economics and Management 2015 Conference, Procedia Economics and Finance, 34 (2015), 565-572.
  • 7. Erol, E., Paşayev, N.,2014, Analyzıng productıon cost of small and medıum sızed enterprıces ın terms of sewıng department productıon condıtıons, Textile and Apparel, 24(1): 134-140.
  • 8. Akgül, M., 2006, Desıgnatıng qualıty charesteristics and preparing quality directions in producing of male shırt (Master’s thesis), Marmara University Institute of science and technology, (Order number: 185156) İstanbul. pp.198.
  • 9. Dereli, T., Baykasoğlu, A., 2003, Quality and its implications to life, Ankara: Nobel publishing and distribution. pp.352.
  • 10. Efil, İ., 2016, Total quality management, Bursa: Dora publishing and distribution. pp.542.
Tekstil ve Mühendis-Cover
  • ISSN: 1300-7599
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1987
  • Yayıncı: TMMOB Tekstil Mühendisleri Odası