IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v38y2021i1p1-21.html
   My bibliography  Save this article

Economic ordering model for multiple items with stochastic demand and budget constraint

Author

Listed:
  • Mahadev Ota
  • S. Srinivasan
  • C.D. Nandakumar

Abstract

The classical newsboy problem considers the single product case to determine the optimal ordering quantity which maximises the expected profit. This paper attempts to develop a newsboy type model with multiple products and stochastic demand and determine the optimal ordering quantity based on the different time periods which maximise the expected profit subject to the budget constraints. In the modern market, each individual customer has his own freedom to choose the product independently. Accordingly, this paper assumes that the demand for each product is invariably independent and follows the lognormal distribution with different mean and variance. An effective method has been developed to determine the optimal ordering quantity for each product at different time period with different level of budget constraint. From the illustrations, it is quite clear that an optimal solution can be obtained for the proposed model. The analytical structure used in the proposed model shows that the multi-product extension of the newsboy problem with budget constraint and stochastic demand is a very challenging area of research.

Suggested Citation

  • Mahadev Ota & S. Srinivasan & C.D. Nandakumar, 2021. "Economic ordering model for multiple items with stochastic demand and budget constraint," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 38(1), pages 1-21.
  • Handle: RePEc:ids:ijsoma:v:38:y:2021:i:1:p:1-21
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112515
    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:ijsoma:v:38:y:2021:i:1:p:1-21. 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=150 .

    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.