IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v21y2022i4p402-425.html
   My bibliography  Save this article

Inventory pricing strategy considering product returns for deteriorating items with multi-variate dependent demand

Author

Listed:
  • Jitendra Singh
  • K.M. Kamna
  • Mahendra Singh

Abstract

This study discusses an optimal inventory model for rapidly decaying products considering product returns. In this study, the demand is influenced by selling price, timing, and advertisements per planning period. Product returns is regarded as a function of the product's demand and price. The shortages are acceptable and partially backlogged in the proposed model. This inventory model aims to develop a profit function to obtain the optimal selling price of the product and replenishment schedule with maximum profit. Moreover, a novel algorithm is proposed to determine the optimal results. An optimal replenishment schedule exists for a given selling price. Finally, the optimality of the function is proved mathematically and graphically to substantiate the appropriateness of the solution algorithm and method. In addition, a numerical illustration is used to elaborate the solution procedure, followed by a meticulous analysis of various parameters.

Suggested Citation

  • Jitendra Singh & K.M. Kamna & Mahendra Singh, 2022. "Inventory pricing strategy considering product returns for deteriorating items with multi-variate dependent demand," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 21(4), pages 402-425.
  • Handle: RePEc:ids:ijmdma:v:21:y:2022:i:4:p:402-425
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125934
    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:ijmdma:v:21:y:2022:i:4:p:402-425. 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=19 .

    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.