IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v280y2020i3p940-952.html
   My bibliography  Save this article

The parallel stack loading problem minimizing the number of reshuffles in the retrieval stage

Author

Listed:
  • Boge, Sven
  • Knust, Sigrid

Abstract

In this paper, we consider the parallel stack loading problem (PSLP) with the objective to minimize the number of reshuffles in the retrieval stage. Since in the PSLP the incoming items have to be stored according to a fixed arrival sequence, some reshuffles cannot be avoided later on. We study two surrogate objective functions (number of unordered stackings, number of badly placed items) to estimate the number of reshuffles and compare them theoretically as well as in a computational study. For this purpose, MIP formulations and a simulated annealing algorithm are proposed.

Suggested Citation

  • Boge, Sven & Knust, Sigrid, 2020. "The parallel stack loading problem minimizing the number of reshuffles in the retrieval stage," European Journal of Operational Research, Elsevier, vol. 280(3), pages 940-952.
    • Handle: RePEc:eee:ejores:v:280:y:2020:i:3:p:940-952
    DOI: 10.1016/j.ejor.2019.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719306587
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2019.08.005?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. Boge, Sven & Goerigk, Marc & Knust, Sigrid, 2020. "Robust optimization for premarshalling with uncertain priority classes," European Journal of Operational Research, Elsevier, vol. 287(1), pages 191-210.
    2. Sven Boge & Sigrid Knust, 2023. "The blocks relocation problem with item families minimizing the number of reshuffles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 395-435, June.
    3. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    4. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    5. Zhang, Canrong & Wang, Qi & Yuan, Guoping, 2023. "Novel models and algorithms for location assignment for outbound containers in container terminals," European Journal of Operational Research, Elsevier, vol. 308(2), pages 722-737.

    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:eee:ejores:v:280:y:2020:i:3:p:940-952. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.