Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8181
Title: A RFID-case-based sample management system for fashion product development
Authors: Choy, KL 
Chow, KH
Moon, KL
Zeng, X
Lau, HCW
Chan, FTS 
Ho, GTS
Keywords: Case-based reasoning
Fabric selection
Fashion product development
NPD
RFID
Supply chain
Issue Date: 2009
Publisher: Pergamon Press
Source: Engineering applications of artificial intelligence, 2009, v. 22, no. 6, p. 882-896 How to cite?
Journal: Engineering applications of artificial intelligence 
Abstract: This paper presents a RFID-case-based sample management system (R-SMS) to manage an iterative process for evaluating fabric swatches in the development of new fashion products. R-SMS supports fashion designers and clothing merchandisers in working out the best way to fabricate their new collections and to expedite the product development process. This study attempts to use a case-based reasoning (CBR) technique to solve problems of fabric selection. In addition, radio frequency identification (RFID) technology is incorporated in the system to provide real-time swatches tracking and accurate fabric status updates within a fabric sample storeroom. The outcomes of this study provide fashion designers and merchandisers with appropriate fabric knowledge, enabling them to select the most appropriate fabric or fabric combination effectively and efficiently for new products; in turn, to enhance a garment enterprise's overall competency in managing its fabric resources.
URI: http://hdl.handle.net/10397/8181
ISSN: 0952-1976
EISSN: 1873-6769
DOI: 10.1016/j.engappai.2008.10.011
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