IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2015i1p19-26.html
   My bibliography  Save this article

Kuhn's Hungarian Algorithm using a Commercial Network of Wholesale Warehouses and Retail Stores

Author

Listed:
  • Cristina Gabriela ZAMFIR

    (Faculty of Economics and Business Administration, Dunarea de Jos University of Galati, Romania)

Abstract

Econometrics is a discipline that can be used for decision profitability. To this end, using Kuhn's algorithm, we analyzed the profitability problem for chain stores. An econometric model shows the economic relationships that may occur between variables. These relationships describe the behavior of economic variables and try to shape reality as well.

Suggested Citation

  • Cristina Gabriela ZAMFIR, 2015. "Kuhn's Hungarian Algorithm using a Commercial Network of Wholesale Warehouses and Retail Stores," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 19-26.
  • Handle: RePEc:ddj:fseeai:y:2015:i:1:p:19-26
    as

    Download full text from publisher

    File URL: http://www.eia.feaa.ugal.ro/images/eia/2015_1/Zamfir.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Optimization; Kuhn's Hungarian algorithm;

    Statistics

    Access and download statistics

    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:ddj:fseeai:y:2015:i:1:p:19-26. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    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.