IDEAS home Printed from https://ideas.repec.org/a/spr/flsman/v35y2023i4d10.1007_s10696-023-09506-w.html
   My bibliography  Save this article

Human-Robot collaboration in the next generation manufacturing and logistics system

Author

Listed:
  • S. G. Ponnambalam

    (Vellore Institute of Technology)

  • Qing (Cindy) Chang

    (University of Virginia)

  • Ray Y. Zhong

    (The University of Hong Kong)

  • Ibrahim Kucukkoc

    (Balikesir University)

  • Mukund Nilakantan Janardhanan

    (University of Leicester)

Abstract

No abstract is available for this item.

Suggested Citation

  • S. G. Ponnambalam & Qing (Cindy) Chang & Ray Y. Zhong & Ibrahim Kucukkoc & Mukund Nilakantan Janardhanan, 2023. "Human-Robot collaboration in the next generation manufacturing and logistics system," Flexible Services and Manufacturing Journal, Springer, vol. 35(4), pages 975-978, December.
  • Handle: RePEc:spr:flsman:v:35:y:2023:i:4:d:10.1007_s10696-023-09506-w
    DOI: 10.1007/s10696-023-09506-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10696-023-09506-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10696-023-09506-w?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Giorgi Tadumadze & Julia Wenzel & Simon Emde & Felix Weidinger & Ralf Elbert, 2023. "Assigning orders and pods to picking stations in a multi-level robotic mobile fulfillment system," Flexible Services and Manufacturing Journal, Springer, vol. 35(4), pages 1038-1075, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Xiying & Hua, Guowei & Zhang, Li & Cheng, Tai Chiu Edwin & Choi, Tsan-Ming, 2025. "Joint optimization of order- and rack-scheduling in KIVA picking systems," Omega, Elsevier, vol. 135(C).
    2. Constantin Wildt & Felix Weidinger & Nils Boysen, 2025. "Picker routing in scattered storage warehouses: an evaluation of solution methods based on TSP transformations," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(1), pages 35-66, 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:spr:flsman:v:35:y:2023:i:4:d:10.1007_s10696-023-09506-w. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.