Intelligent production control decision support system for flexible assembly lines

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

50 Citations (Scopus)

Abstract

In this study, a production control problem on a flexible assembly line (FAL) with flexible operation assignment and variable operative efficiencies is investigated. A mathematical model of the production control problem is formulated with the consideration of 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, which is composed of a radio frequency identification technology-based data capture system, 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 for solving the FAL.
Original languageEnglish
Pages (from-to)4268-4277
Number of pages10
JournalExpert Systems with Applications
Volume36
Issue number3 PART 1
DOIs
Publication statusPublished - 1 Apr 2009

Keywords

  • Decision support system
  • Flexible assembly lines
  • Genetic algorithms
  • Learning curves
  • Production control
  • Radio frequency identification

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this