IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v16y2022i4p418-441.html
   My bibliography  Save this article

An economic order quantity model for Pareto distribution deterioration with linear demand under linearly time-dependent shortages

Author

Listed:
  • S. Sindhuja
  • P. Arathi

Abstract

The inventory models for deteriorating items aim to reduce the total cost under normal market conditions. This paper focuses on the possible effects of minimising total cost by developing an economic order quantity (EOQ) model, where the deterioration is considered as Pareto distribution with linear demand. This model is applicable for vegetable vendors to make inventory decisions in the inventory system under the influence of optimal values. The linear demand and shortage of cost are also taken into consideration. To illustrate the proposed EOQ model, numerical examples and corresponding sensitivity analysis on the parameters A, c, d, pc, h, s, α and β are discussed and compared with the existing models. The result of the model developed in this paper is based on the deterioration leading to significant effects of the Pareto distribution deterioration variables α and β on the 'total cost'. The complex algebraic equations are solved using MATLAB R2013a. [Submitted: 11 January 2021; Accepted: 12 April 2021]

Suggested Citation

  • S. Sindhuja & P. Arathi, 2022. "An economic order quantity model for Pareto distribution deterioration with linear demand under linearly time-dependent shortages," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 16(4), pages 418-441.
  • Handle: RePEc:ids:eujine:v:16:y:2022:i:4:p:418-441
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=123730
    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:eujine:v:16:y:2022:i:4:p:418-441. 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=210 .

    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.