IDEAS home Printed from https://ideas.repec.org/a/taf/tjsmxx/v19y2025i4p455-481.html
   My bibliography  Save this article

Simulation to analyse warehouse operational performance: a systematic literature review

Author

Listed:
  • Ritika Saini
  • Omkarprasad S. Vaidya
  • Rakesh Venkitasubramony

Abstract

The central role of warehouses in storing and distributing goods and order fulfilment is unavoidable in any supply chain. Thus, it becomes essential to study the operational problems in warehouses. Over the past few years, warehouses have evolved significantly, with a focus on operational efficiency and effectiveness. Efficient warehousing is key for companies to remain competitive and profitable. This study attempts to look at the application of simulation methods in warehouses for their performance measurement and, hence, the improvement of the processes involved in warehouse operations. This systematic literature review analyses the current academic literature from 2011 to 2023. The papers are classified according to the simulation methods in warehouses using different picking systems and across various warehouse operations, describe the operational problems of warehouses that have been addressed, and then propose future research directions. This review provides insights into how simulation studies have been consistently used for operational problems with changing picking systems in warehouses and how simulation methods have been applied across various warehouse operational problems. This will help researchers and practitioners to choose among the simulation methodologies when new picking systems in the warehouses are implemented or to analyse different operational problems of a warehouse.

Suggested Citation

  • Ritika Saini & Omkarprasad S. Vaidya & Rakesh Venkitasubramony, 2025. "Simulation to analyse warehouse operational performance: a systematic literature review," Journal of Simulation, Taylor & Francis Journals, vol. 19(4), pages 455-481, July.
  • Handle: RePEc:taf:tjsmxx:v:19:y:2025:i:4:p:455-481
    DOI: 10.1080/17477778.2025.2485231
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17477778.2025.2485231
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17477778.2025.2485231?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.

    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:tjsmxx:v:19:y:2025:i:4:p:455-481. 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/tjsm .

    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.