Data Mining and Its Potential Use in Textiles: A Spinning Mil

Spinning Mill;Data Mining

Schertel, Stacey Lee ; Dr. Thomas Honeycutt, Committee Member,Dr. Nancy Cassill, Committee Member,Dr. George Hodge, Committee Co-Chair,Dr. William Oxenham, Committee Co-Chair,Schertel, Stacey Lee ; Dr. Thomas Honeycutt ; Committee Member ; Dr. Nancy Cassill ; Committee Member ; Dr. George Hodge ; Committee Co-Chair ; Dr. William Oxenham ; Committee Co-Chair

University:North Carolina State University

关键词: Spinning Mill;    Data Mining;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/5201/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

The purpose of this research has been to understand the possible uses of data mining in the Textile Industry, specifically a spinning mill.There is a lot of information published on the theory of data mining, however there is not a lot published on its use in a manufacturing setting.A case study approach was used to help understand how data mining could be used in the manufacturing of textiles.The focus of this research was on a spinning mill in the textiles industry and the processing that is followed with the different data elements available.Data was collected from a spinning mill operation and then cleansed and merged to create a data warehouse that could be mined using the SAS Enterprise Miner software.An example ideal data warehouse was created for a spinning mill.In this warehouse the different elements and formats that are needed were listed for each process in the production of a cotton fiber.Initially a simple data mining process was used however this proved to be ineffective.Due to the successes and failures that were experienced during the research a new data mining process model was created.This model has six major steps, which contains a total of 28 specific activities that may be included in the data mining process model.The proposed model describes how data mining can be implemented in a manufacturing setting.