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Efficient wafer sorting scheduling using a hybrid artificial immune system

Author

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  • K-C Ying

    (National Taipei University of Technology, Taipei, Taiwan)

  • S-W Lin

    (Chang Gung University, Taoyuan, Taiwan)

Abstract

The efficiency of wafer sorting scheduling is of particular importance in semiconductor fabrication, especially in the face of strong industry competition. This paper presents a novel hybrid artificial immune system (HAIS) algorithm for solving the wafer sorting scheduling problem, aimed at minimizing the total setup time and the number of testers used. To evaluate the performance of the proposed HAIS algorithm and to compare it with existing approaches, computational experiments were conducted on 480 simulation instances generated from the characteristics of a real wafer probe centre. The experimental results revealed that the proposed HAIS algorithm is highly effective and efficient, as compared with state-of-the-art algorithms on the same benchmark.

Suggested Citation

  • K-C Ying & S-W Lin, 2014. "Efficient wafer sorting scheduling using a hybrid artificial immune system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(2), pages 169-179, February.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:2:p:169-179
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    Cited by:

    1. Jianxin Fang & Brenda Cheang & Andrew Lim, 2023. "Problems and Solution Methods of Machine Scheduling in Semiconductor Manufacturing Operations: A Survey," Sustainability, MDPI, vol. 15(17), pages 1-44, August.

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