IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v12y2019i5p606-620.html
   My bibliography  Save this article

Stochastic inventory model with income and price dependent demand

Author

Listed:
  • R.H. Waliv
  • H.P. Umap

Abstract

A multi-item cost minimising stochastic inventory model is developed in stochastic environment. Demand is considered to be function of income level of consumer and price of commodity. Budget, income and price are assumed to be random and their randomness is expressed by normal distribution. Deterioration rate is modelled using Weibull distribution. Stochastic inventory model is converted into equivalent crisp inventory model by using stochastic nonlinear programming (SNLP) technique. Crisp problem is solved by fuzzy nonlinear programming (FNLP) technique and intuitionistic fuzzy optimisation (IFO) technique. Sensitivity analysis of the optimum solution with respect to feasible changes in average and variance of income level and price is discussed and conclusions are noted.

Suggested Citation

  • R.H. Waliv & H.P. Umap, 2019. "Stochastic inventory model with income and price dependent demand," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 12(5), pages 606-620.
  • Handle: RePEc:ids:ijpman:v:12:y:2019:i:5:p:606-620
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=102156
    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:ijpman:v:12:y:2019:i:5:p:606-620. 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=255 .

    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.