IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v7y2015i5p547-565.html
   My bibliography  Save this article

Multi-objective linear fractional inventory model of multi-products with price-dependant demand rate in fuzzy environment

Author

Listed:
  • Pavan Kumar
  • Debashis Dutta

Abstract

In this paper, we propose a multi-criteria decision making approach for the solution of a multi-product inventory model without shortages. The model is considered over infinite horizon with price-dependant demand rate. The proposed model is formulated as a fractional multi-objective optimisation problem along with four constraints: budget constraint, space constraint, number of order constraint, and budgetary constraint on ordering cost of each item. The proposed inventory model becomes a multiple criteria decision making (MCDM) problem in fuzzy environment. This model is solved by multi-objective fuzzy goal programming (MOFGP) approach. Two numerical examples are given to illustrate the proposed model.

Suggested Citation

  • Pavan Kumar & Debashis Dutta, 2015. "Multi-objective linear fractional inventory model of multi-products with price-dependant demand rate in fuzzy environment," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 7(5), pages 547-565.
    • Handle: RePEc:ids:ijmore:v:7:y:2015:i:5:p:547-565
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=71280
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irfan Ali & Srikant Gupta & Aquil Ahmed, 2019. "Multi-objective linear fractional inventory problem under intuitionistic fuzzy environment," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 173-189, April.
    2. Hamiden Abd El- Wahed Khalifa & Pavan Kumar, 2022. "A goal programming approach for multi-objective linear fractional programming problem with LR possibilistic variables," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(4), pages 2053-2061, August.

    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:7:y:2015:i:5:p:547-565. 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.