IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i12p1783-d1410997.html
   My bibliography  Save this article

Wafer Delay Minimization in Scheduling Single-Arm Cluster Tools with Two-Space Process Modules

Author

Listed:
  • Chengyu Zou

    (Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao 999078, China)

  • Siwei Zhang

    (Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao 999078, China)

  • Shan Zeng

    (Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao 999078, China)

  • Lei Gu

    (Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao 999078, China)

  • Jie Li

    (IKAS Industries Company, Ltd., Chongqing 401120, China)

Abstract

In semiconductor manufacturing, multi-space process modules (PMs) are adopted in some cluster tools for wafer processing. With multi-space PMs, a PM can have multiple wafers concurrently. Also, the internal chamber in a PM should rotate to make the robot able to load/unload a wafer into/from a space in the PM. This means that the wafer staying time in PMs is affected by both the rotation operations of the internal chambers of PMs and the robot tasks. Thus, minimizing the wafer delay time is quite challenging. In this work, for cluster tools with single-arm robots and two-space PMs, efforts are made for wafer delay minimization in scheduling the tools. Specifically, a two-wafer backward strategy is presented to operate the tools in a steady state. Then, the workloads of each processing step and the robot are analyzed. Further, to find optimal schedules with the objective of minimizing the total wafer delay time, efficient algorithms are established. Finally, case studies show that the wafer delay time at some steps can be totally eliminated by the proposed method. In the meantime, in all cases, the proposed method can work well in reducing the total wafer delay time at all steps.

Suggested Citation

  • Chengyu Zou & Siwei Zhang & Shan Zeng & Lei Gu & Jie Li, 2024. "Wafer Delay Minimization in Scheduling Single-Arm Cluster Tools with Two-Space Process Modules," Mathematics, MDPI, vol. 12(12), pages 1-20, June.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1783-:d:1410997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/12/1783/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/12/1783/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1783-:d:1410997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.