Monitoring Yarn Count Quality using Xbar-R and Xbar-S Control Charts

Control Chart to Monitor Yarn Count Quality

Authors

  • Muhammad Amin Department of Statistics, University of Sargodha, Sargodha, Pakistan
  • Muhammad Amanullah Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan
  • Atif Akbar Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan

Keywords:

Autocone, ring frame, yarn count, process monitoring

Abstract

Yarn quality monitoring is necessary by the spinners to sustain their business in the world market. Therefore, yarn quality control is a basic protocol requirement for producing good quality textile products. For this purpose, quality control charts are used for monitoring yarn quality at each step during the yarn manufacturing process. In this study, we considered Ring and Auto Cone departments and tested/monitored the yarn count quality by using Xbar-R and Xbar-S control charts in both departments. Machine-wise yarn count samples were selected to monitor the yarn count quality in both departments. It was observed that in Ring department yarn count quality was not in statistical control. However, in auto cone department; yarn count quality was in statistical control. So control charts are a good tool for monitoring the yarn count quality.

References

Dhillon, B.S. Applied Reliability and Quality: Fundamentals, Methods and Procedures. Series in Reliability Engineering. Springer (2007). 2. Townsend, T. & J. Sette. Natural fibers and the world economy. Natural Fibres: Advances in Science and Technology Towards Industrial Applications 12: 381-390 (2016).

Kan, C.W. & M.P. Lau. Effects of sampling methods on detection of yarn quality. Research Journal of Textile and Apparel 11(4): 71-79 (2007).

Clapp, T.G., A.B. Godfrey, D. Greeson, R.H. Jonson, C. Rich, & C. Seastrunk. Quality initiatives reshape the textile industry. Quality Digest, October 2001 (2001). https://www.qualitydigest.com/oct01/ html/textile.html

Thomas, C.R., S.C. Maurice, S. Sarkar. Managerial Economics, 9th ed. Tata Mc Graw Hill, New Dehli, India (2010).

Feili, H.R. & P. Fekraty. Comparing fuzzy charts with probability charts and using them in a textile company. The Journal of Mathematics and Computer Science 1(4): 258-272 (2010).

Amin, M. A. Akber, M. Akram, & M.A. Ullah. Measurement system analysis for yarn strength spinning process. International Research Journal of Finance and Economics 82: 131-141 (2012).

Megahed, F.M. W.H. Woodall, & J.A. Camelio. A review and perspective on control charting with image data. Journal of Quality Technology 43(2): 83-98 (2011).

Montgomery, D.C. Introduction to Statistical Quality Control, 5th ed. John Wiley & Sons, New York (2005).

Ahmed, M.S., I. Javed, M. Ahmed, H.M. Naeem, & M. Sarwar. Application of statistical quality control in yarn spinning. Pakistan Journal of Agricultural Sciences 29(1): 25-30 (1992).

Maros, T., B. Viladimir, & T.M. Caner. Monitoring chenille yarn defects using image processing with control charts. Textile Research Journal 81(13): 1344-1353 (2011).

Engin, B.A. An application and use of economic and statistical control chart design for the textile yarn industry. Quality Engineering 16(4): 625-635 (2004).

Mullins, E. Statistics for the Quality Control Chemistry Laboratory. The Royal Society of Chemistry, UK (2003).

Damyanov, G.B., & D.S. Germanova-Krasteva. Textile Processes: Quality Control and Design of Experiments. Moment Press, New York (2013).

Levinson, W.A. Statistical Process Control for Real World Applications. CRC Press, Taylor & Francis Group (2010).

Lawrence, C.A. Fundamentals of Spun Yarn Technology. CRC Press LLC. (2003).

Amin, M., M. Amanullah, & A. Akbar. Quality variation minimizer: A new approach for quality improvement in textile industry. Pakistan Journal of Scientific and Industrial Research, Series A: Physical Sciences 59(2): 109-113 (2016).

Downloads

Published

2021-04-15

How to Cite

Amin, M. ., Amanullah, . M. ., & Akbar, . A. . (2021). Monitoring Yarn Count Quality using Xbar-R and Xbar-S Control Charts: Control Chart to Monitor Yarn Count Quality. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 55(1), 97–107. Retrieved from https://ppaspk.org/index.php/PPAS-A/article/view/197

Issue

Section

Articles