A RFID Case based Sample Management System for Fashion Product Development

K. L. Choy; Ka Ho Chow; Ka Leung Moon; Xin Zeng; Henry C. W. Lau; Felix T. S. Chan; George T. S. Ho

A RFID Case based Sample Management System for Fashion Product Development

K. L. Choy
, Ka Ho Chow
, Ka Leung Moon
, Xin Zeng
, Henry C. W. Lau
, Felix T. S. Chan
, George T. S. Ho

School of Business

Research output: Contribution to journal › Article

36 Citations (Scopus)

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 swatche stracking 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 enterpriseÃƒÂ¢Ã¢"šÂ¬Ã¢"žÂ¢s overall competency in managing its fabric resources.

Original language	English
Pages (from-to)	882-896
Number of pages	14
Journal	Engineering Applications of Artificial Intelligence
Volume	22
Issue number	6
Publication status	Published - 2009

Keywords

fabric selection
supply chain

Cite this

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title = "A RFID Case based Sample Management System for Fashion Product Development",

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T1 - A RFID Case based Sample Management System for Fashion Product Development

AU - Choy, K. L.

AU - Chow, Ka Ho

AU - Moon, Ka Leung

AU - Zeng, Xin

AU - Lau, Henry C. W.

AU - Chan, Felix T. S.

AU - Ho, George T. S.

PY - 2009

Y1 - 2009

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AB - 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 swatche stracking 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 enterpriseÃƒÂ¢Ã¢"šÂ¬Ã¢"žÂ¢s overall competency in managing its fabric resources.

KW - fabric selection

KW - supply chain

UR - http://handle.uws.edu.au:8081/1959.7/502961

M3 - Article

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VL - 22

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EP - 896

JO - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

IS - 6

ER -

A RFID Case based Sample Management System for Fashion Product Development

Abstract

Keywords

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