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Morozenko Andrey Aleksandrovich -
Moscow State University of Civil Engineering (National Research University) (MGSU)
Doctor of Technical Sciences, Professor, Department of Thermal and Nuclear Power Objects Construction, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation;
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.
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Krasovskiy Dmitriy Viktorovich -
Moscow State University of Civil Engineering (National Research University) (MGSU)
postgraduate student, Department of Thermal and Nuclear Power Objects Construction, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation;
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.
The article considers the current problematic issues in the management of investment-construction projects, examines the questions of efficiency increase of construction operations on the basis of the formation of a reflex-adaptive organizational structure. The authors analyzed the necessity of forming a matrix of key events in the investment-construction project (ICP), which will create the optimal structure of the project, basing on the work program for its implementation. For convenience of representing programs of the project implementation in time the authors make recommendations to consolidate the works into separate, economically independent functional blocks. It is proposed to use an algorithm of forming the matrix of an investment-construction project, considering the economic independence of the functional blocks and stages of the ICP implementation. The use of extended network model is justified, which is supplemented by organizational and structural constraints at different stages of the project, highlighting key events fundamentally influencing the further course of the ICP implementation.
DOI: 10.22227/1997-0935.2016.11.105-113
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Skiba Alisa Anatol'evna -
Moscow State University of Civil Engineering (MGSU)
postgraduate student, Department of Information Systems, Technologies and Automation in Civil Engineering, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation;
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.
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Ginzburg Aleksandr Vital'evich -
Moscow State University of Civil Engineering (MGSU)
Doctor of Technical Sciences, Professor, Professor of Department of Information Systems, Technologies and Automation in Civil Engineering, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation;
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.
The authors discuss the procedure of measuring and managing risks that investment projects in the construction industry may be exposed to in the process of their implementation.
The qualitative analysis results in description of uncertainties characterizing the project as well as in the breakdown of the reasons for these uncertainties. Risks identified in the course of analysis should be ranked according to their significance and possible losses that they may involve. The main risks need research through the employment of the quantitative analysis to make assessments more accurate.
The authors compare the applied methods used in practice to perform a quantitative analysis of project risks with the new ones based on the fuzzy logic concept. All models are broken down into three groups: stochastic (probabilistic), linguistic (descriptive) and non-stochastic (behavioral).
Aims, advantages and disadvantages of methods are arranged into a table. Some methods can be implemented in combination to assure a reasonable efficiency of decisions.
DOI: 10.22227/1997-0935.2012.12.276 - 281
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