Issue |
MATEC Web Conf.
Volume 193, 2018
International Scientific Conference Environmental Science for Construction Industry – ESCI 2018
|
|
---|---|---|
Article Number | 05045 | |
Number of page(s) | 10 | |
Section | Economics and Management in the Concept of Sustainable Living Environment | |
DOI | https://doi.org/10.1051/matecconf/201819305045 | |
Published online | 20 August 2018 |
Optimization of managerial decisions during innovative-and-investment activities of construction company
1
Nizhny Novgorod State University of Architecture and Civil Engineering, Ilyinskaya St., 65, 603950, Nizhny Novgorod, Russia
2
Tver State University, Zhelyabov St., 33, 170100, Tver, Russia
3
LLC "SPE "VARIOS" Smolensk region, Russia
4
Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, 129337, Moscow, Russia
Corresponding author: angela-1309.m@yandex.ru
The article gives a model description of the management processes of the investment activity of a construction company that develops and implements innovative construction projects in the conditions of an acute shortage of external investment resources. Optimization of the series of managerial decisions for the construction of algorithms for managing the innovation and investment activity of a construction enterprise was carried out taking into account the functioning of the investment flow management system: soft management, risk management, crash management. The schemes of restructuring the production, investment and innovative structures of the construction enterprise are proposed. An investment model for the implementation of a specific innovative construction project has been developed and a number of management solutions that meet this model have been identified and designed to neutralize the effects of external adverse perturbations. The application of management solutions of internal, medium and external contours to the management system of investment flows of a construction enterprise as a part of specialized series is substantiated.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.