IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i20p6552-6568.html
   My bibliography  Save this article

Dynamic order batching in bucket brigade order picking systems with consecutive batch windows and non-identical pickers

Author

Listed:
  • Henokh Yernias Fibrianto
  • Soondo Hong

Abstract

The blocking mitigation mechanism contained in a batching and sequencing model improves order picking performance in bucket brigade order picking systems by adjusting the batch formation in a given batch window. The batch formation of a given batch window affects the transition to the next batch window and limits the batch formation’s structure in the next window. In addition, imbalance in picker capability increases the variation of batch formation while mitigating blocking delay. Our paper proposes a dynamic indexed batching model to smooth the transition between consecutive batch windows and give a better approximation of non-identical pickers’ capability. We develop a mixed integer programming solution for a dynamic indexed batching model in a bucket brigade order picking system (DIBMB). Simulation experiments show that the DIBMB smooths the transition between batch windows as measured in the delay experienced by the first batch in each batch window. Comparisons to the available batching models show that under DIBMB, the blocking delay gradually increases throughout the sequence of batches.

Suggested Citation

  • Henokh Yernias Fibrianto & Soondo Hong, 2019. "Dynamic order batching in bucket brigade order picking systems with consecutive batch windows and non-identical pickers," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6552-6568, October.
  • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:20:p:6552-6568
    DOI: 10.1080/00207543.2019.1567948
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1567948
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2019.1567948?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. Li, Dongni & Lyu, Yao & Zhang, Jinhui & Cui, Zihua & Yin, Yong, 2024. "Order sequencing for a bucket brigade seru in a mass customization environment," International Journal of Production Economics, Elsevier, vol. 270(C).

    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:57:y:2019:i:20:p:6552-6568. 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.