By G. Thilagavathi, T. Karthik
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Extra resources for Process control and yarn quality in spinning
If the chart contains warning and action limits, then the chart could serve as a useful tool for initiating correction action whenever the values exceed these preset limits. 1 Quality control through control charts The basis of all control charts is the observation that, in any production process, some variation is unavoidable. The sources of variation can be divided into two groups, namely, random variation and variation due to assignable causes. (a) Random variation is variation in quality produced by a multitude of causes, each one of them slight and intermittent in action.
Ltd. 2 Process control and yarn quality in spinning Measures of central tendency A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. These values can be used to take many decisions regarding the entire set of individual values. The measure of central tendency allows comparing two or more sets of data. The following are some of the important measures of central tendency which find common applications in the textile industry.
The effect of such causes tends to be permanent or at least long-term and it is these kinds of variation that control charts are designed to detect. Once some knowledge about the process behavior in stable conditions is available, the extent of the variation expected from random causes alone can be calculated and allowed for. If the process is then inspected regularly, the variation it exhibits at these inspections can be compared with the allowable random variation. If the observed variation conforms to the expected random variation, the process is said to be out of control; it would then be concluded that at least one assignable cause was operating, and efforts would be made to discover what it was and hence to remove it.
Process control and yarn quality in spinning by G. Thilagavathi, T. Karthik