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

conference contribution
posted on 2012-01-01, 00:00 authored by C K H Lee, K L Choy, Kris LawKris Law, G T S Ho
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. © 2012 IEEE.

History

Event

Industrial Engineering and Engineering Management. International Conference (2012 : Hong Kong)

Pagination

889 - 893

Publisher

IEEE

Location

Hong Kong

Place of publication

Piscataway, N.J.

Start date

2012-12-10

End date

2012-12-13

ISSN

2157-3611

eISSN

2157-362X

ISBN-13

9781467329453

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2012, IEEE

Title of proceedings

Proceedings of the 2012 IEEE International Conference on Industrial Engineering and Engineering Management