IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v20y2021i1p41-59.html
   My bibliography  Save this article

A quadratic demand EOQ model for deteriorating items with time dependent shortage

Author

Listed:
  • S. Sindhuja
  • P. Arathi
  • Varun Mohan

Abstract

In an inventory model, optimising the time and cost is a challenging task. This article focuses on an economic order quantity model (EOQ model) with a quadratic demand and constant deterioration of items. The aim of the paper is to provide a methodology to minimise the total cost in an EOQ model. This is achieved by increasing the deteriorating items, under the normal market conditions and considering the demand as a quadratic demand. Shortage in cost is similarly considered. A numerical example is discussed and compared with an existing model to illustrate the behaviour of the quadratic demand rate. There is a considerable reduction in total cost in the proposed model when compared with the existing model. Sensitivity analysis concerning the changes in parameters is carried out through the graphical representations. Complex algebraic equations are solved using MATLAB R2013a.

Suggested Citation

  • S. Sindhuja & P. Arathi & Varun Mohan, 2021. "A quadratic demand EOQ model for deteriorating items with time dependent shortage," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 20(1), pages 41-59.
  • Handle: RePEc:ids:ijmore:v:20:y:2021:i:1:p:41-59
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=117636
    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:ijmore:v:20:y:2021:i:1:p:41-59. 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=320 .

    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.