IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v15y2012i1p94-124.html
   My bibliography  Save this article

Analysis of partial trade credit financing in a supply chain by EOQ-based inventory model for exponentially deteriorating items

Author

Listed:
  • Gour Chandra Mahata

Abstract

In the classical inventory (or) supply chain models, it was assumed that the retailers and their customers must pay for the items as soon as the items are received. However, in practice, the supplier usually is willing to provide the retailer a full trade credit period for payments and the retailer just offers the partial trade credit period to his/her customers. This paper develops economic order quantity-based inventory model to investigate the retailer's inventory policy for deteriorating items under two levels of trade credit in a supply chain management situation as a cost minimisation problem under partial trade credit option to their customers. Mathematical theorems, lemmas and algorithms are developed to efficiently determine the optimal inventory policy for the retailer. We deduce some previously published results of other researchers as special cases. Finally, numerical examples are given to illustrate the theorems and obtain a lot of managerial phenomena.

Suggested Citation

  • Gour Chandra Mahata, 2012. "Analysis of partial trade credit financing in a supply chain by EOQ-based inventory model for exponentially deteriorating items," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 15(1), pages 94-124.
  • Handle: RePEc:ids:ijores:v:15:y:2012:i:1:p:94-124
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=48294
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Waseem Ahmed Abbasi & Zongrun Wang & Yanju Zhou & Shahzad Hassan, 2019. "Research on measurement of supply chain finance credit risk based on Internet of Things," International Journal of Distributed Sensor Networks, , vol. 15(9), pages 15501477198, September.
    2. Yang Yang & Xuezheng Chen & Jing Gu & Hamido Fujita, 2019. "Alleviating Financing Constraints of SMEs through Supply Chain," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    3. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    4. Wang, Zhiqiang & Wang, Qiang & Lai, Yin & Liang, Chaojie, 2020. "Drivers and outcomes of supply chain finance adoption: An empirical investigation in China," International Journal of Production Economics, Elsevier, vol. 220(C).

    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:ids:ijores:v:15:y:2012:i:1:p:94-124. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    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.