IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v43y2012i11p2144-2159.html
   My bibliography  Save this article

The optimal retailer's ordering policies with trade credit financing and limited storage capacity in the supply chain system

Author

Listed:
  • Ghi-Feng Yen
  • Kun-Jen Chung
  • Tzung-Ching Chen

Abstract

The traditional economic order quantity model assumes that the retailer's storage capacity is unlimited. However, as we all know, the capacity of any warehouse is limited. In practice, there usually exist various factors that induce the decision-maker of the inventory system to order more items than can be held in his/her own warehouse. Therefore, for the decision-maker, it is very practical to determine whether or not to rent other warehouses. In this article, we try to incorporate two levels of trade credit and two separate warehouses (own warehouse and rented warehouse) to establish a new inventory model to help the decision-maker to make the decision. Four theorems are provided to determine the optimal cycle time to generalise some existing articles. Finally, the sensitivity analysis is executed to investigate the effects of the various parameters on ordering policies and annual costs of the inventory system.

Suggested Citation

  • Ghi-Feng Yen & Kun-Jen Chung & Tzung-Ching Chen, 2012. "The optimal retailer's ordering policies with trade credit financing and limited storage capacity in the supply chain system," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(11), pages 2144-2159.
    • Handle: RePEc:taf:tsysxx:v:43:y:2012:i:11:p:2144-2159
    DOI: 10.1080/00207721.2011.565133
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2011.565133
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2011.565133?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. S. Li & Z. Yu & M. Dong, 2015. "Construct the stable vendor managed inventory partnership through a profit-sharing approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(2), pages 271-283, January.
    2. Dharmendra Yadav & S.R. Singh & Rachna Kumari, 2015. "Retailer's optimal policy under inflation in fuzzy environment with trade credit," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(4), pages 754-762, March.
    3. Beatrice Marchi & Lucio E. Zavanella & Simone Zanoni, 2023. "Supply chain finance for ameliorating and deteriorating products: a systematic literature review," Journal of Business Economics, Springer, vol. 93(3), pages 359-388, April.

    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:tsysxx:v:43:y:2012:i:11:p:2144-2159. 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/TSYS20 .

    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.