Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
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Article Number | 08027 | |
Number of page(s) | 7 | |
Section | Sustainable Construction Materials and Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202016408027 | |
Published online | 05 May 2020 |
Application of game theory when taking decisions and choosing the best variant
Voronezh State Technical University, 84, 20-Letiya Octyabrya Street, 394006, Voronezh, Russia
* Corresponding author: petrikeeva.nat@yandex.ru
The paper is devoted to a new way of determining optimal distribution of resources in performing construction and assembly work. Properly analyzed territorial features of the construction site, the local topography and housing density, the degree of the system reliability, available resources, and options for carrying out work may help reduce construction costs. That may be done after choosing the best variant relying on a number of criteria, which is one of the main goals for any organization and one of the main principles of efficient use of resources. As a simulation of this situation, it is offered to consider the theory of games. The solution of the antagonistic game in relation to the gasification of housing development by a construction and assembly organization is considered. A solution to this type of game in mixed and pure strategies is offered. The results obtained may be used for further engineering evaluation. Application of this approach at early stages of construction, namely while planning and designing, may cut energy costs, will significantly reduce the organization’s expenses and decrease the project implementation time by spending a little more time for taking decision at the preliminary stage. It was shown that the reliability of the system in diverse variants meets the regulatory requirements.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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