• editor.aipublications@gmail.com
  • Track Your Paper
  • Contact Us
  • ISSN: 2456-7817

International Journal Of Engineering, Business And Management(IJEBM)

Proportion Defective Chart to Monitor Apparel Production Process

Noora Shrestha


International Journal of Engineering, Business And Management(IJEBM), Vol-3,Issue-2, March - April 2019, Pages 55-59 , 10.22161/ijebm.3.2.3

Download | Downloads : 7 | Total View : 1128

Share

Quality management is a mechanism in apparel manufacturing that ensures customers obtain goods that are defect free and meet their needs. Each finished items of apparel industry has one or more quality characteristics that must be inspected during the production process. The objective of the study was to apply proportion defective chart (p-chart) to monitor the fraction of nonconforming apparel products. The variation in the production of apparel was examined from day one to day twenty-five. The p-chart was used to monitor the proportion of defective items in 25 numbers of samples with sample size 50 from the apparel production process. The sample proportion defectives remained within the upper and lower control limits of p-chart and revealed that the production process was in statistical control. On average, every day there was about 4% of the apparel production with defectives. On any given day, the defectives may be as high as 8.5% or as low as 0.94%. The apparel manufacturing process with defectives is not acceptable. Hence, the production department should employ other quality inspection tools and quality assurance methods to minimize the defectives in the production process.

Proportion defective chart, quality management, apparel manufacturing, defective, statistical quality control.

[1] CBS. (1987). Census of manufacturing establishments 1986/87. Kathmandu: Center Bureau of Statistics, Government of Nepal.
[2] CBS. (1992). Census of manufacturing establishments 1991/92. Kathmandu: Center Bureau of Statistics, Government of Nepal.
[3] UNDP. (September 2002). Industrial development perspective plan: vision 2020, Analytical Report, Kathmandu: United Nations Industrial Development Organization.
[4] MoF. (2018). Economic Survey 2017/18, Kathmandu: Ministry of Finance, Government of Nepal.
[5] Brahams, S. B. (2017). The fundamentals of quality assurance in the textile industry. Boca Raton, FL: CRC Press.
[6] Kadolph, S.K. (2007). Quality assurance for textiles & apparel. 2nded. New York: Fairchild Publications.
[7] Nayak, R. & Padhye, R. (2015). Garment manufacturing technology. United Kingdom: Elsevier.
[8] Dunchan, A. J. (1986). Quality control and industrial statistics. 5th ed. Illinois: Irwin.
[9] Montgomery, D.C. (2000). Introduction to statistical quality control. 2nd ed. New York: Willey.
[10] Gupta, K. P. & Hira, D.S. (2014). Operations Research. 7th ed. New Delhi: S. Chand Publishing.