IDEAS home Printed from https://ideas.repec.org/h/spr/oprchp/978-3-319-55702-1_5.html
   My bibliography  Save this book chapter

A Precious Mess: On the Scattered Storage Assignment Problem

In: Operations Research Proceedings 2016

Author

Listed:
  • Felix Weidinger

    (Friedrich-Schiller-Universität Jena)

Abstract

Induced by the rise of online retailing new storage strategies have evolved, designed to meet the demands of e-commerce warehousing. Although many of these new approaches have established over the last few years, literature on basic planning problems in these environments can be found only rarely. This paper points out the special needs of e-commerce warehousing and details the scattered storage strategy (also known as mixed-shelves storage) where unit loads are unbundled and single items are stored at multiple positions within the warehouse. This way, an item of an ordered product is always close by and the unproductive walking time of pickers is reduced. Based on the paper of Weidinger and Boysen (Scattered storage: how to distribute stock keeping units all around a mixed-shelves warehouse. Working Paper Friedrich-Schiller-University Jena, 2015) [8], the scattered storage assignment problem is presented and the processes in a scattered storage warehouse are described.

Suggested Citation

  • Felix Weidinger, 2018. "A Precious Mess: On the Scattered Storage Assignment Problem," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 31-36, Springer.
  • Handle: RePEc:spr:oprchp:978-3-319-55702-1_5
    DOI: 10.1007/978-3-319-55702-1_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Justkowiak, Jan-Erik & Pesch, Erwin, 2023. "Stronger mixed-integer programming-formulations for order- and rack-sequencing in robotic mobile fulfillment systems," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1063-1078.
    2. Justkowiak, Jan-Erik & Pesch, Erwin, 2023. "A column generation driven heuristic for order-scheduling and rack-sequencing in robotic mobile fulfillment systems," Omega, Elsevier, vol. 120(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:spr:oprchp:978-3-319-55702-1_5. 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: 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.