Establishing Garment Production Sizing Systems Using Decision Tree-based Data Mining
| Autor: | Chih-Hung, Hsu., 徐志宏 |
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| Rok vydání: | 2005 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 93 While data mining has been widely used in many fields, little research has been done on its applications to sizing systems for the manufacturing of garment. The goal of this study was to establish systems for using a decision tree technique to determine the upper-clothes sizes of women and the pants sizes of army soldiers. This study first defined the objective and constructed a large anthropometric database. Second, this study prepared and analyzed data, performed factor analyses, and then extracted important sizing variables. Third, this study used decision tree technique to conduct data mining in an effort to identify significant patterns in the body types of subjects and classify them. This study established the sizing systems and then discussed the results and the applications. The use of decision tree-based data mining to establish sizing systems are advantageous because they can (1) allow for a wider coverage of body types with a fewer number of sizes, and (2) provide manufacturers with reference points to facilitate production. As a result, the newly developed sizing systems can provide garment manufacturers with size specification, design development, pattern grading, and market analysis. Moreover, production plans can be made more realistic and inventory costs due to mismatches can be minimized. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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