IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v292y2026ics0925527325003093.html

Dynamic expiration date-based discounting of fresh food products

Author

Listed:
  • Haijema, Rene
  • Duijvestijn, Lisan
  • Akkerman, Renzo
  • Cruijssen, Frans

Abstract

To reduce food waste, many supermarkets discount food products that are close to their expiration date. In practice, this is done either by discount labels put on the product or by electronic shelf labels (or digital price tags) showing the price per expiration date. Digital price tags allow to easily change the price of products and to apply different discount rates to items with different expiration dates. An important question to practitioners is when and how much discount to offer. In this study, we use Stochastic Dynamic Programming (SDP) to derive optimal expiration-date-based discounting policies for a profit-maximizing retailer who sells a product with m periods (e.g., days) of shelf life. We compare various discounting strategies, such as static last-day discounting, optimal dynamic last-day, and last-two-days discounting, against the no-discounting strategy.

Suggested Citation

  • Haijema, Rene & Duijvestijn, Lisan & Akkerman, Renzo & Cruijssen, Frans, 2026. "Dynamic expiration date-based discounting of fresh food products," International Journal of Production Economics, Elsevier, vol. 292(C).
  • Handle: RePEc:eee:proeco:v:292:y:2026:i:c:s0925527325003093
    DOI: 10.1016/j.ijpe.2025.109824
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527325003093
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2025.109824?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

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:proeco:v:292:y:2026:i:c:s0925527325003093. 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/ijpe .

    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.