 Using innovative technology to establish sizing systemsChih-Hung Hsu and Mao-Jiun J. Wang International Journal of Innovation and Learning, 2005, vol. 2, issue 3, 233-245 Abstract: Among textile manufacturing industries, garment manufacturing produces products with the highest added value. Because certain standards and specifications must be followed in large-scale production, each country must have its own standard-sizing systems for manufacturers to follow. Data mining is used in many fields but there is a lack of research on sizing systems in garment manufacturing. This study aims to establish such sizing systems using a decision tree-based data mining approach. When sizing systems are established using the innovative technology, three advantages can be seen: resulting in fewer size groups with high coverage; generating regular patterns and rules; providing manufacturers with reference points to facilitate manufacturing. As a result, production planning can be made more realistic and inventory costs due to mismatches can be minimised. The innovative technology is found to be effective in processing classification problems for promoting production planning and management. Keywords: technological innovation; data mining; sizing systems; garment manufacturing; garment industry; clothing industry; apparel industry; textile industry; production planning; inventory costs; cost reduction; production management. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:2:y:2005:i:3:p:233-245 Access Statistics for this article More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.