Applicability of Data Mining in Yarn Manufacturing

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dc.contributor.advisor Nancy Powell, Committee Member en_US
dc.contributor.advisor Dr. William Oxenham, Committee Co-Chair en_US
dc.contributor.advisor Dr. George Hodge, Committee Co-Chair en_US Anderson, Mary en_US 2010-04-02T17:52:52Z 2010-04-02T17:52:52Z 2007-06-09 en_US
dc.identifier.other etd-05162006-235654 en_US
dc.description.abstract Information technology has become a priority in many businesses today. Understanding the data collected in information systems has allowed companies to stay competitive in different industries. Data mining is a set of statistical techniques for discovering previously unknown trends and patterns in large datasets. Data mining is becoming a significant tool in today's competitive business world and helping business leaders to make more informed decisions. The purpose of this research has been to understand the yarn manufacturing process, the data collected, and the different data collection systems in order to determine the potential application of data mining in cotton yarn spinning. Plant interviews and a case study with one cotton open-end spinning plant was helpful in understanding how data mining could be used within yarn manufacturing. Data was collected from the case study plant and analyses were performed to determine relationships and trends. This research provides an overview of the data collection requirements for textile spinning and the different data elements collected throughout the spinning process. A model of collection points and data elements is presented. The different data collection systems used for monitoring these elements are discussed as well as the quality of data being collected. Analyses are performed to determine the applicability of using data mining techniques on the many data sets to improve both process and product quality. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject data mining en_US
dc.subject yarn manufacturing en_US
dc.title Applicability of Data Mining in Yarn Manufacturing en_US MS en_US thesis en_US Textile Technology Management en_US

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