A RFID-case-based sample management system for fashion product development

King Lun Tommy Choy, Ka Ho Chow, Ka Leung Moon, Xin Zeng, Henry C.W. Lau, Tung Sun Chan, G. T.S. Ho

Research output: Journal article publicationJournal articleAcademic researchpeer-review

31 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)882-896
Number of pages15
JournalEngineering Applications of Artificial Intelligence
Issue number6
Publication statusPublished - 1 Sep 2009


  • Case-based reasoning
  • Fabric selection
  • Fashion product development
  • NPD
  • RFID
  • Supply chain

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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