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

Aristides Dikos, Peter Nelson, Thomas Tirpak and Weihsin Wang

Annals of Operations Research, 1997, vol. 75, issue 0, 303-324

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

Date: 1997
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DOI: 10.1023/A:1018919815515

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