IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/91118.html
   My bibliography  Save this article

THE USE OF MODELS IN OPTIMIZING THE FIELD CROP PRODUCTION IN AGRICULTURAL ENTERPRISE-MBA Thesis

Author

Listed:
  • Muncan, Mihajlo

Abstract

The full use of resource capacities of agricultural enterprises favorably affects the general increase in economic efficiency and rational production making them more competitive in the market. This creates the need for constant improvement of business strategies that uses all available resources to create the most profitable production. The main objective of this study was to find the ideal structure of production in agricultural enterprise and to enable the realization of maximum profit using the available production resources (land, mechanization, labor forces). As the basic method of planning, this study used the simplex method of linear programming which gives the most profitable sowing structure after detailed analysis of resources and achieved results, based on the limitations and gross margin. This work showed that the use of modern methods in production planning is one of the cheapest and safest methods for development of agricultural enterprises

Suggested Citation

  • Muncan, Mihajlo, 2010. "THE USE OF MODELS IN OPTIMIZING THE FIELD CROP PRODUCTION IN AGRICULTURAL ENTERPRISE-MBA Thesis," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 4(1-2), pages 1-4.
    • Handle: RePEc:ags:apstra:91118
    DOI: 10.22004/ag.econ.91118
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/91118/files/13_Mihajlo%20The%20use_Apstract.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.91118?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:ags:apstra:91118. 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: AgEcon Search (email available below). General contact details of provider: http://www.apstract.net/ .

    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.