The role of radio frequency identification (RFID) technologies in improving garment assembly line operations

Z. X. Guo, Wai Keung Wong, S. Y.S. Leung, J. T. Fan, S. F. Chan

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

1 Citation (Scopus)

Abstract

In this chapter, a production control problem on a flexible assembly line (FAL) with flexible operation assignment and variable operative efficiencies is described. A mathematical model of the production control problem is formulated by considering the time-constant learning curve to deal with the change of operative efficiency in real-life production. An intelligent production control decision support (PCDS) system is developed, composed of a radio frequency identification (RFID) technology-based data capture system and a PCDS model comprising a bi-level genetic optimization process, and a heuristic operation routing rule is developed. Experimental results demonstrated that the proposed PCDS system could implement effective production control decision-making.
Original languageEnglish
Title of host publicationFashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies
PublisherElsevier Ltd
Pages99-125
Number of pages27
ISBN (Electronic)9780857098115
ISBN (Print)9780857098054
DOIs
Publication statusPublished - 12 Feb 2014

Keywords

  • Decision support system
  • Flexible assembly lines (FALs)
  • Genetic algorithms (GAs)
  • Learning curves
  • Production control

ASJC Scopus subject areas

  • Engineering(all)

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