IDEAS home Printed from https://ideas.repec.org/a/aiy/jnjaer/v19y2020i1p97-124.html
   My bibliography  Save this article

Method of Network Economic-Mathematical Modeling of Adaptive Control Optimization Investment Projecting

Author

Listed:
  • A. F. Shorikov
  • E. V. Butsenko

Abstract

For successful activity of any business entity in the field of investment projecting, it is necessary to have modern tools for managing its processes. The article discusses the process of optimizing adaptive control of investment projects for an economic entity with the possibility of introducing feedback. The value of the length of time for the execution of the investment project as a whole, which needs to be minimized, is considered as the objective function (evaluation functional) in the optimization problem under study. To solve this problem, a new method of network economic and mathematical modeling of the optimization of adaptive management of investment projecting is proposed. The proposed method allows you to create a class of acceptable strategies for adaptive control (feedback control) of the implementation process for the investment project under consideration. Within the framework of this class of strategies, an optimal adaptive management strategy for the implementation of the investment project is formed, the optimal time for its implementation and the optimal schedule for the project as a whole, corresponding to the optimal adaptive control strategy, are calculated. The paper describes a new optimization network economic and mathematical model that takes into account the possibility of adaptive control of the implementation of the investment project under consideration, and proposes a new method for solving this problem. The practical implementation of the considered solution method was carried out on a specific example of investment projecting. The results obtained in the work show a high degree of effectiveness of the method used. Further development of this direction may be associated with the development of a computer model of the processes for implementing investment projects and the creation of decision support systems for control their implementation.

Suggested Citation

  • A. F. Shorikov & E. V. Butsenko, 2020. "Method of Network Economic-Mathematical Modeling of Adaptive Control Optimization Investment Projecting," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 19(1), pages 97-124.
  • Handle: RePEc:aiy:jnjaer:v:19:y:2020:i:1:p:97-124
    DOI: http://dx.doi.org/10.15826/vestnik.2020.19.1.006
    as

    Download full text from publisher

    File URL: https://journalaer.ru//fileadmin/user_upload/site_15934/2020/06_SHorikov_Bucenko.pdf
    Download Restriction: no

    File URL: https://libkey.io/http://dx.doi.org/10.15826/vestnik.2020.19.1.006?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

    Keywords

    adaptive control; network model; investment project; economic and mathematical modeling; investment optimization; control strategy; calendar schedule;
    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:aiy:jnjaer:v:19:y:2020:i:1:p:97-124. 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: Natalia Starodubets (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.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.