A genetic algorithm-based planning system for PCB component placement

L. P. Khoo*, Tien Khee Ng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

In recent years, there has been increasing research interest in PCB assembly planning. This paper presents the work that leads to the development of a prototype genetic algorithm-based planning system for near-optimal PCB component placement sequence. The prototype system aims at assisting process engineers in the formulation of component placement sequence for semi-automatic assembly of PCBs. PCB placement priority and sequencing decision rules are incorporated as constrains into the prototype system. Details of the prototype system are described. The prototype system was validated using a PCB model extracted from literature. Details of system validation, and performance evaluation and comparison are presented.

Original languageEnglish (US)
Pages (from-to)321-332
Number of pages12
JournalInternational Journal of Production Economics
Volume54
Issue number3
DOIs
StatePublished - May 18 1998

Keywords

  • Genetic algorithms
  • Optimisation
  • PCB component placement sequence

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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