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Optimization of high-mix printed circuit card assembly using genetic algorithms

Author

Listed:
  • Aristides Dikos
  • Peter Nelson
  • Thomas Tirpak
  • Weihsin Wang

Abstract

The purpose of this paper is to present an overview of the factors affecting the cycle time of printed circuit card assembly (PCCA) in high-mix environments and demonstrate a technique for improving machine throughput. We have concentrated our research on optimizing the portion of the PCCA manufacturing process performed by high-speed placement machines (chip shooters). A crucial factor affecting the throughput of a chip shooter is the assignment of components to the feeder slots. Genetic algorithms were employed to find a near optimal assignment of the feeder carriage. Results for various genetic operators in this problem domain are presented. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • Aristides Dikos & Peter Nelson & Thomas Tirpak & Weihsin Wang, 1997. "Optimization of high-mix printed circuit card assembly using genetic algorithms," Annals of Operations Research, Springer, vol. 75(0), pages 303-324, January.
    • Handle: RePEc:spr:annopr:v:75:y:1997:i:0:p:303-324:10.1023/a:1018919815515
    DOI: 10.1023/A:1018919815515
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    Cited by:

    1. Klomp, Cornelis & van de Klundert, Joris & Spieksma, Frits C. R. & Voogt, Siem, 2000. "The feeder rack assignment problem in PCB assembly: A case study," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 399-407, March.
    2. Sun, Dong-Seok & Lee, Tae-Eog & Kim, Kyung-Hoon, 2005. "Component allocation and feeder arrangement for a dual-gantry multi-head surface mounting placement tool," International Journal of Production Economics, Elsevier, vol. 95(2), pages 245-264, February.
    3. Ho, William & Ji, Ping, 2010. "Integrated component scheduling models for chip shooter machines," International Journal of Production Economics, Elsevier, vol. 123(1), pages 31-41, January.

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