An intelligent system for production resources planning in Hong Kong garment industry

C. K.H. Lee, King Lun Tommy Choy, K. M.Y. Law, G. T.S. Ho

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Resources management has remarkable impacts on production operations in terms of both productivity and efficiency. Faced the challenges in the competitive market, garment manufacturers are always striking for shorter production cycles. Effective resources management is thus essential for the survivals of garment manufacturers. Currently, there is a lack of standardized approaches for effective production resources management in the garment manufacturing industry. This may lead to inefficiency in production performance. Problems aroused include inaccurate resources planning and allocation. This paper presents an intelligent resources management system, integrating both radio frequency identification (RFID) technology and fuzzy logic, specifically for the garment industry. A case study conducted in a Hong Kong garment manufacturing company, which is considered a good representation in the sector, is addressed. Results indicate that the proposed approach outperforms the conventional approaches with better decision making in resources planning.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages889-893
Number of pages5
ISBN (Print)9781467329453
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, Hong Kong
Duration: 10 Dec 201213 Dec 2012

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Country/TerritoryHong Kong
CityHong Kong
Period10/12/1213/12/12

Keywords

  • Fuzzy logic
  • garment industry
  • Hong Kong
  • intelligent system
  • resources management
  • RFID

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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