IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i19p6007-6022.html
   My bibliography  Save this article

Scheduling cluster tools for concurrent processing of two wafer types with PM sharing

Author

Listed:
  • Jun-Ho Lee
  • Hyun-Jung Kim
  • Tae-Eog Lee

Abstract

We examine cyclic scheduling of single-armed and dual-armed cluster tools that concurrently process two wafer types by sharing a process module (PM). Because a PM is shared by two different wafers, the backward and swap sequences, which are prevalently used for single-armed and dual-armed tools without such complexity, respectively, are not effective. We therefore propose new sequences, called alternating backward and alternating swap sequences, for steady cycles of single-armed and dual-armed tools, respectively. We then develop optimality conditions for which the proposed sequences achieve the minimum cycle times in a fundamental cycle, and show that the optimality conditions hold for most practical cases. We also develop a condition for which a shared PM becomes the bottleneck and hence the PM sharing increases the cycle time. For general cycles, we propose heuristic scheduling methods that combine both the alternating backward (or swap) sequence and the conventional backward (or swap) sequence. Finally, we experimentally verify the efficiency and effectiveness of the proposed algorithm for dual-armed cluster tools.

Suggested Citation

  • Jun-Ho Lee & Hyun-Jung Kim & Tae-Eog Lee, 2015. "Scheduling cluster tools for concurrent processing of two wafer types with PM sharing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(19), pages 6007-6022, October.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:19:p:6007-6022
    DOI: 10.1080/00207543.2015.1035813
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2015.1035813
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2015.1035813?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hyun-Jung Kim & Jun-Ho Lee, 2021. "Cyclic robot scheduling for 3D printer-based flexible assembly systems," Annals of Operations Research, Springer, vol. 298(1), pages 339-359, March.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:53:y:2015:i:19:p:6007-6022. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.