Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
---|---|---|
Article Number | 10029 | |
Number of page(s) | 9 | |
Section | Bioeconomy and Low Carbon Development | |
DOI | https://doi.org/10.1051/e3sconf/202124410029 | |
Published online | 19 March 2021 |
Formation of the model of the open production-and-economic system at the construction enterprise
Moscow State University of Civil Engineering, 26 Yaroslavskoye Shosse, 109377, Moscow, Russia
* Corresponding author: angela-1309.m@yandex.ru
The research is dedicated to the multi-structural model of the complex system at the construction enterprise as well as the model of structurally functional open production-and-economic system at the construction enterprise. The models are created for the acceptance of the justified managerial decisions and carrying out the applied research aimed at the efficiency of the construction enterprises functioning in the conditions of uncertainty, instability of the internal and external environment and heterogeneity of the indicators, which characterize the enterprise’s activity. The offered models are developed on the basis of the probability theory and the information theory; they are based on the principles of self-organization, openness of the complex systems, synergy and information-and-statistical approach. The concept of the open productive-and-economic system at the construction enterprise is considered, the content of the functions of the complex system at the construction enterprise is described, their stochastic and quasi-determined communications in the uniform information-and-statistical field of functioning are presented. Bit measurement for the whole set of functions, allowing to receive an adequate assessment of the complex open system behavior, is offered for further scientific and applied research, including the development of more exact forecasts and improvement of statistical heterogeneity of indicators.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.