Data Mining Tools and Techniques to Manage the Textile Quality Control Data for Strategic Decision Making

forces of liberalization, globalization and competition have led to a remarkable evolution in the general theory of quality. Quality control usually refers to an evaluation of inspection, product through testing and recording the nature and analysis of data where necessary, the location of the defect found. In existing the rapid development in Information Technology has ushered in a revolution in manufacturing and interactive marketing across the globe. IT applications like MIS, ERP, Network, Multimedia and Data Mining etc are today"s indispensable tools to boost productivity and drive maximum benefits. In other word we can say that the success of an organization depends on faster processing of raw data, which are based on application of Data Mining. The use of Data Mining application to manage quality and laboratory result of the modern textile plant is not a new concept. Most laboratories today have some sort of computerized system to log and manage data. Every progressive organization has the only major objective to increase its profitability. However, in today"s competitive marketplaces, profitability is not only depends on increasing sales but also just as importantly on reducing cost and improving the quality. Introducing Data Mining Tools and Techniques into textile production processes can achieve a substantial increase in productivity and quality of work.