IDEAS home Printed from https://ideas.repec.org/a/spr/mathme/v60y2004i3p471-483.html
   My bibliography  Save this article

Retailer’s optimal ordering policy under supplier credits

Author

Listed:
  • Chun-Tao Chang
  • Jinn-Tsair Teng

Abstract

In the traditional inventory economic order quantity (or EOQ) model, it was assumed that the customer must pay for the items as soon as the items are received. However, in practices, the supplier frequently offers a cash discount and/or a permissible delay to the customer especially when the economy turns sour. As a result, in this paper, we establish an optimal ordering policy for a retailer when the supplier provides not only a cash discount to avoid the default risk but also a permissible delay to increase sales. We then characterize the optimal solution and provide an easy-to-use algorithm to find the optimal order quantity and replenishment time. Furthermore, we also compare the optimal order quantity under supplier credits to the classical economic order quantity. Finally, several numerical examples are given to illustrate the theoretical results and make the sensitivity of parameters on the optimal solution. Copyright Springer-Verlag 2004

Suggested Citation

  • Chun-Tao Chang & Jinn-Tsair Teng, 2004. "Retailer’s optimal ordering policy under supplier credits," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 60(3), pages 471-483, December.
  • Handle: RePEc:spr:mathme:v:60:y:2004:i:3:p:471-483
    DOI: 10.1007/s001860400370
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s001860400370
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s001860400370?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. Chung, Kun-Jen & Liao, Jui-Jung, 2011. "The simplified solution algorithm for an integrated supplier-buyer inventory model with two-part trade credit in a supply chain system," European Journal of Operational Research, Elsevier, vol. 213(1), pages 156-165, August.
    2. Teng, Jinn-Tsair, 2009. "Optimal ordering policies for a retailer who offers distinct trade credits to its good and bad credit customers," International Journal of Production Economics, Elsevier, vol. 119(2), pages 415-423, June.
    3. Teng, Jinn-Tsair & Min, Jie & Pan, Qinhua, 2012. "Economic order quantity model with trade credit financing for non-decreasing demand," Omega, Elsevier, vol. 40(3), pages 328-335.
    4. Kun-Jen Chung & Jui-Jung Liao & Hari Mohan Srivastava & Shih-Fang Lee & Shy-Der Lin, 2021. "The EOQ Model for Deteriorating Items with a Conditional Trade Credit Linked to Order Quantity in a Supply Chain System," Mathematics, MDPI, vol. 9(18), pages 1-28, September.
    5. Kun-Jen Chung & Jui-Jung Liao & Shy-Der Lin & Sheng-Tu Chuang & Hari Mohan Srivastava, 2019. "The Inventory Model for Deteriorating Items under Conditions Involving Cash Discount and Trade Credit," Mathematics, MDPI, vol. 7(7), pages 1-20, July.

    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:mathme:v:60:y:2004:i:3:p:471-483. 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.