A decision support system for the production control of a semiconductor packaging assembly line

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


In this paper, production control of an actual industrial semiconductor packaging assembly line is studied. An evolutionary optimization methodology is developed to synthesize decision support systems for providing both crisp-logic and fuzzy-logic production control for the assembly line. The performance of such decision support systems is compared with that of the system originally implemented by the manufacturer. It is thus demonstrated that the proposed evolutionary methodology is effective in synthesizing decision support systems for both crisp-logic and fuzzy-logic control of the semiconductor packaging assembly production. It indicates that the proposed methodology can also synthesize decision support systems for productivity improvement in other complex manufacturing environment.
Original languageEnglish
Pages (from-to)4423-4430
Number of pages8
JournalExpert Systems with Applications
Issue number3 PART 1
Publication statusPublished - 1 Apr 2009


  • Evolutionary computation
  • Fuzzy-logic control
  • Production control
  • Semiconductor packaging

ASJC Scopus subject areas

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

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