IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v47y2023i1p33-50.html
   My bibliography  Save this article

A demand and supply chain inventory management with probabilistic and time dependent price

Author

Listed:
  • Nabajyoti Bhattacharjee
  • Nabendu Sen

Abstract

In the real world, it has been a challenging part for the vendors and stockholders selling the perishable product. Especially, when price of the product reduces with time, due to high rate of deterioration and eventually vanishes. The products like vegetable scrap, food products, wood stock, etc. comes under this category. In this paper, we develop a demand and supply chain inventory model with deterioration and exponential demand to maximise the profit of a stockholder selling a perishable product. The selling price is probabilistic and a decreasing function of time so that, after a finite time limit the product has no market value. We consider three probability distributions uniform, triangular and gamma, and compare the total profit under three distributions and represent the result graphically. We perform sensitivity analysis and interpret the result both theoretically and graphically. Further, we study the model under different situation and provide managerial implications.

Suggested Citation

  • Nabajyoti Bhattacharjee & Nabendu Sen, 2023. "A demand and supply chain inventory management with probabilistic and time dependent price," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 47(1), pages 33-50.
  • Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:33-50
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130856
    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.

    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:47:y:2023:i:1:p:33-50. 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.