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Optimal K-unit cycle scheduling of two-cluster tools with residency constraints and general robot moving times

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Listed:
  • Xin Li

    (City University of Hong Kong)

  • Richard Y. K. Fung

    (City University of Hong Kong)

Abstract

The semiconductor manufacturing industry is significantly expensive both in equipment and materials. Cluster tools, a type of automated manufacturing system integrating processing modules and transport modules, are commonly used in this industry. Nowadays, multi-cluster tools, which are composed of several cluster tools connected by joint buffer modules, are often used for wafer production. This paper deals with K-unit cycle scheduling problems in single-armed two-cluster tools for processing identical wafers in deterministic settings. In a K-unit cycle, K wafers are exactly inserted into the two-cluster tool, and K completed wafers leave the two-cluster tool, usually not the same K wafers. Residency constraints and general moving times by the robot are both considered. The objective is to obtain optimal K-unit cycle schedules, which minimize cycle times. To analyze this scheduling problem in detail, a mixed integer linear programming (MILP) model is formulated and solved. Numerical examples are used to explain how the solution can be obtained from the MILP model in a K-unit cycle.

Suggested Citation

  • Xin Li & Richard Y. K. Fung, 2016. "Optimal K-unit cycle scheduling of two-cluster tools with residency constraints and general robot moving times," Journal of Scheduling, Springer, vol. 19(2), pages 165-176, April.
  • Handle: RePEc:spr:jsched:v:19:y:2016:i:2:d:10.1007_s10951-015-0448-7
    DOI: 10.1007/s10951-015-0448-7
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    References listed on IDEAS

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