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Solution strategies for multi-stage wafer probing scheduling problem with reentry

Author

Listed:
  • W L Pearn

    (National Chiao Tung University)

  • S H Chung

    (National Chiao Tung University)

  • M H Yang

    (National United University)

  • K P Shiao

    (National Chiao Tung University)

Abstract

The multi-stage wafer probing scheduling problem (M-WPSP) with reentry is a practical variation of the parallel-machine scheduling problem. Since the M-WPSP involves multiple product families, to be processed on multiple stages, with various job due dates, ready times, reentry, serial and batch operations, sequential-dependent setup time, it is more difficult to solve than the classical parallel-machine scheduling problems. In this paper, we consider two strategies to solve the M-WPSP with reentry, where the total machine workload must be minimized. These two strategies incorporate a global planning mechanism, in advance, to determine the required stage due date of job at each process stage to prevent the due date problems occurring at the final stage. The sequential strategy schedules the jobs at the required stages according to the sequence of manufacturing process. The parallel strategy is designed specifically for the reentrant characteristic. To evaluate the efficiency of the proposed strategies, a set of test problems involving four critical factors, the product family ratio, the temperature-change consideration, the tightness of due dates, and the ready time, are designed to test the quality of solutions under two levels of workload.

Suggested Citation

  • W L Pearn & S H Chung & M H Yang & K P Shiao, 2008. "Solution strategies for multi-stage wafer probing scheduling problem with reentry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 637-651, May.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:5:d:10.1057_palgrave.jors.2602354
    DOI: 10.1057/palgrave.jors.2602354
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    References listed on IDEAS

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    Cited by:

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    4. Zhang, Zhe & Song, Xiaoling & Huang, Huijung & Zhou, Xiaoyang & Yin, Yong, 2022. "Logic-based Benders decomposition method for the seru scheduling problem with sequence-dependent setup time and DeJong’s learning effect," European Journal of Operational Research, Elsevier, vol. 297(3), pages 866-877.

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