Open Access
Using Proportion Defective Charts to Enhance Quality Control in Apparel Production
4
Department of Mathematics and Statistics, PK Campus, Tribhuvan University, Nepal
Abstract
This study explores the application of proportion defective charts as a tool for enhancing quality control in apparel production. Proportion defective charts, a type of control chart used in statistical quality control, monitor the proportion of defective items within production batches to ensure that manufacturing processes remain within acceptable quality limits. By implementing these charts, the study aims to identify variations and trends in defect rates, providing actionable insights for improving quality control measures.
The research involves analyzing data from multiple apparel production lines, focusing on defect rates recorded over a specified period. Through the use of proportion defective charts, patterns of defects are tracked, and the effectiveness of current quality control practices is assessed. The study also examines how these charts can be utilized to detect process deviations early, enabling timely interventions and reducing the overall incidence of defects.
Keywords
Proportion defective charts,
quality control,
apparel production,
defect rate monitoring
References
CBS. (1987). Census of manufacturing establishments 1986/87. Kathmandu: Center Bureau of Statistics, Government of Nepal.
CBS. (1992). Census of manufacturing establishments 1991/92. Kathmandu: Center Bureau of Statistics, Government of Nepal.
UNDP. (September 2002). Industrial development perspective plan: vision 2020, Analytical Report, Kathmandu: United Nations Industrial Development Organization.
MoF. (2018). Economic Survey 2017/18, Kathmandu: Ministry of Finance, Government of Nepal.
Brahams, S. B. (2017). The fundamentals of quality assurance in the textile industry. Boca Raton, FL: CRC Press.
Kadolph, S.K. (2007). Quality assurance for textiles & apparel. 2nded. New York: Fairchild Publications.
Nayak, R. &Padhye, R. (2015). Garment manufacturing technology. United Kingdom: Elsevier.
Dunchan, A. J. (1986). Quality control and industrial statistics. 5th ed. Illinois: Irwin.
Montgomery, D.C. (2000). Introduction to statistical quality control. 2nd ed. New York: Willey.
Gupta, K. P. & Hira, D.S. (2014). Operations Research. 7th ed. New Delhi: S. Chand Publishing.
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