Shewhart control chart for individual measurement: an application in a weaving mill

Abstract

Control Chart is a very common quality control tool in Industrial sector. Statistical quality control technique is used to determine the control limits and for exploring the changes that require improving the process. In real life there are many situations where the sample size used for process monitoring is one and then control chart for individual measurement is used. The data collected from a weaving mill provided six months of data on four characteristics for each bale of thread namely Fiber Fineness (Mic), Whiteness (Rd), Yellowness (+b) and Spinning consistency index (SCI). Moving Range Chart and Individual Measurement Chart has been applied on each of the characteristics to find out quality of bales of thread on those months and to determine a standard range for each parameter. After evaluating around 70 quality control charts the suggested range for Fiber Fineness, Whiteness, Yellowness and Spinning Consistency index should be 3.162075 to 4.396583, 75.08009 to 81.50754, 6.953162 to 9.434838 and 116.4203 to 185.8005 respectively. Garments industry is the largest export industry for Bangladesh constituting 75% of total export accumulating 10.5% of the country’s GDP but still they lack in terms of quality control. In this paper an overview of quality control process is done on a leading garments industry in Bangladesh, specifically a weaving mill. This also paves a way to use other quality control processes and a chance to compare with these processes to determine a more suitable process for garments industries.

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