IDEAS home Printed from https://ideas.repec.org/a/prg/jnleam/v2011y2011i4id147p15-36.html
   My bibliography  Save this article

Managerial Decisions for Cost in Transportation: An Applying Integer Linear Programming Model

Author

Listed:
  • Ahmet Ergülen
  • Halim Kazan

Abstract

Managers in the firms are required to make several short and long term decisions. Such decisions for small firms are generally related with stocks and pricing policies and for big firms, such decisions are mostly related with production, investment, financing, stoking, and pricing the stock, employment and transportation policies. The most important element of the decision is uncertainty. As such, setting up mathematical models based on actual data to sort out the problems plays an important role in decision making process. The aim of this study is to set up a model to minimize distribution costs related with transportation policy which is off particular importance for the firms that are operating in the rather competitive environment. The results of this study suggest that financing structure of firms can be improved by using models. This model provides an alternative to the distribution system of the firm. While the cost results were compared with the annual solution of the model and of the firm, cost minimization was seen in annual distribution of the products.

Suggested Citation

  • Ahmet Ergülen & Halim Kazan, 2011. "Managerial Decisions for Cost in Transportation: An Applying Integer Linear Programming Model," Ekonomika a Management, University of Economics, Prague, vol. 2011(4), pages 15-36.
  • Handle: RePEc:prg:jnleam:v:2011:y:2011:i:4:id:147:p:15-36
    as

    Download full text from publisher

    File URL: http://www.vse.cz/polek/download.php?jnl=eam&pdf=147.pdf
    Download Restriction: free of charge

    File URL: http://www.vse.cz/eam/147
    Download Restriction: free of charge

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anantaram Balakrishnan & Harihara Prasad Natarajan & Michael S. Pangburn, 2000. "Optimizing Delivery Fees for a Network of Distributors," Manufacturing & Service Operations Management, INFORMS, vol. 2(3), pages 297-316, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    MMT; ILP and LP;

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

    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:prg:jnleam:v:2011:y:2011:i:4:id:147:p:15-36. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Frantisek Sokolovsky). General contact details of provider: http://edirc.repec.org/data/uevsecz.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.