IDEAS home Printed from https://ideas.repec.org/a/acf/journl/y2019id1106.html
   My bibliography  Save this article

Simulation of Optimum Offer Prices in the Contract System in State and Municipal Procurement

Author

Listed:
  • A. N. Kislyakov

Abstract

The work is aimed at solving the actual problem of estimating the optimal offer price with participation in tenders on electronic platforms. The proposed approach is based on the use of the Monte Carlo method for simulation in order not only to adequately assess the cost of the proposed project, but also to predict the demand for the project under different conditions, as well as to simulate the behavior and intentions of the auction participants. The constructed model allows us to study the pricing mechanism on electronic trading platforms. With the help of the presented simulation methods, the estimation of the optimal price of the contract proposal depending on the number of competitors and the contract value, as well as the intentions of the competitors’ participation in the auction, the simulation results are presented.

Suggested Citation

  • A. N. Kislyakov, 2019. "Simulation of Optimum Offer Prices in the Contract System in State and Municipal Procurement," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
  • Handle: RePEc:acf:journl:y:2019:id:1106
    DOI: 10.22394/1726-1139-2019-5-53-62
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/1106/1040
    Download Restriction: no

    File URL: https://libkey.io/10.22394/1726-1139-2019-5-53-62?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
    ---><---

    More about this item

    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:acf:journl:y:2019:id:1106. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.