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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
