Application of Statistical Control Charts for Monitoring the Textile Yarn Quality

Abstract

At the current time, textile product quality is the most attractive factor for the consumer market. Iraqis’ textile yarn industries are facing a lot of difficulties and competition of cotton yarn products, which has been increased versus artificial fibers. The main problems include the physical and chemical characteristics of cotton yarn because of genetic, environmental, harvesting, and ginning factors. The Statistical control process is a powerful and useful methodology used to solve problems in textile yarn industries to achieve process stability, improve process capability, and reduce process variability. The main objective of this study is to apply control charts and comparison control chart performance of yarn spinning data for quick detection of process shifts that occur to take corrective action. Therefore, in this study, the control charts have been applied at the Wasit state company for textile industries to control the quality of cotton yarns produced. Applying control charts in all yarn spinning stages is a very important issue, especially in production cost and yarn quality. Quality control charts selected for variables that include (-R and -S charts) are constructed to describe tenacity, elongation, and the coefficient of variation. Thirty samples size of yarns with five reading of observations per sample of count 1/27Ne are drawn from spinning machine. Minitab is statistical software used to construct the control charts because of its good reputation which is confirmed by the results achieved in our research. The final results of this study will help us to distinguish yarns parameters in the points of the economy and the quality, by comparison, their above-mention parameters.