IDEAS home Printed from https://ideas.repec.org/a/vra/journl/v7y2018i3p168-174.html
   My bibliography  Save this article

Multivariable Stock Management Model Applied to a Newly Established Nut Tree Processing Factory

Author

Listed:
  • Maria Tokusheva

    (University of Economics - Varna)

Abstract

Model for the management of multivariable stocks for the purposes of a newly-created nut-processing plant for the normal and continuous running of the production and business activity of the enterprise, the proper planning of the necessary volume of stock-inventories is especially influential. In practice, there are frequent situations where there are limitations on the amount of inventory available for a particular reason. In this report, the management model for multivariable stocks is adapted to the activity of a nut tree processing plant whose activity the quantity of raw materials supplied must be within certain limits. This imposes an additional limitation on minimum and maximum allowable volumes of deliveries.

Suggested Citation

  • Maria Tokusheva, 2018. "Multivariable Stock Management Model Applied to a Newly Established Nut Tree Processing Factory," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 7(3), pages 168-174, December.
    • Handle: RePEc:vra:journl:v:7:y:2018:i:3:p:168-174
    as

    Download full text from publisher

    File URL: http://www.su-varna.org/izdanij/2018/EconomicSciencesSeries_2018_3/168-174.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    stocks; optimization; multivariable stocks;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:vra:journl:v:7:y:2018:i:3:p:168-174. 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: Pavel Petrov (email available below). General contact details of provider: https://edirc.repec.org/data/uevecea.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.