Real-time intelligent optimization decision support system for line-balancing control

B. L. Song, Wai Keung Wong, J. T. Fan, S. F. Chan

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

1 Citation (Scopus)

Abstract

This paper aims at demonstrating the real-time intelligent optimization decision support system so that the complex production control and line-balancing problems under a human-centric and dynamic apparel assembly process can be handled. Two consistent steps of balancing done by pre-line balancing system and real time production control system were designed to improve the balancing effectiveness. The human factors and machine uncertainties were considered by applying operator efficiency prediction technique and capturing expert experience. The apparel assembly line with the highest line efficiency, lowest operation efficiency deviation and least operator efficiency waste could be achieved with the three optimal indexes based searching criteria.
Original languageEnglish
Title of host publicationWMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
Pages240-244
Number of pages5
Volume7
Publication statusPublished - 1 Dec 2005
Event9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005 - Orlando, FL, United States
Duration: 10 Jul 200513 Jul 2005

Conference

Conference9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005
CountryUnited States
CityOrlando, FL
Period10/07/0513/07/05

Keywords

  • Efficiency and apparel assembly
  • Line balancing
  • Production control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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