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The fibres (from their fibrous state to the final form of yarn) pass through many many operations through different types of manufacturing machinery. In the present competitive age of textile products, quality product is the most desirable factor at purchase counter for the consumer. As such the application of statistical quality control (SQC) is of pivotal importance in improving the quality of the products. It is also helpful in keeping the cost of production within satisfactory level (Zulfiqar, 1988). The main object of SQC is to secure standardized production, comparing to the dictated specifications. Control is carried out on the basis of sample taken from the process flow. Textile industry consists of various sections and each section differs from others in its manufacturing product. However, the main purpose in each section is the same, i.e. to systematically find the causes of variations and, for this purpose different statistical control charts are used. The purpose of a control chart is to detect the undesirable deterioration of the process (Bcrtrcnd, 19(3). Shcwhart (1939) chart is a graphic device for detecting the occurrence of assignable causes showing significant change in a running process (Juran, 1962). Asian Productivity Organisation recommended that the results of the experiments in textile industries must be analysed objectively by means of statistics in order to aLtain the desired quality standards, maximum productivity and the lowest cost (Handa, 1970). A control chart helps indicate when to leave process alone and when to take action to correct the trouble (Grant, 1952). In this paper the application of SQC charts has been attempted to check the endproduct for its quality characteristics against variations and fluctuations due to assignable causes in machinery performance. The entire data were operated upon a computer programming language BASIC.