On the question of the technical effectiveness of investment projects
Автор: Shibikin D.D.
Рубрика: Управление в социально-экономических системах
Статья в выпуске: 1 т.19, 2019 года.
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The article deals with the actual problem of assessing the organizational mechanisms of the re-as well as resource allocation technologies at the investment and construction stage of the project. With the help of network model management tools, making the optimization of economic resources. In a study on investment design, the definition of the main stages, the implementation of a large-scale investment project using special tools. To solve this problem, a network planning method was proposed. This model corresponds to the considered process and allows you to implement effective solutions for business partners in investment design of a large-scale project. The findings obtained in the results of the study are used to solve the problems of managing investment capital in a large-scale project. The results of the research can be used by the state and private business, carrying out investment activities and seeking to optimize their resources, such as time and money. The model calculations are demonstrated on the example of a large-scale railway investment project (LSRIP) “mainland - isl. Sakhalin. Considered institutional assessments of evaluation of instrumentation and evaluation, as necessary elements of system analysis. Decades later, this project is becoming more and more real. The relevance of this study is confirmed by the words of Vladimir Vladimirovich Putin in the course of a direct translation. In which, he said about the revitalization of the construction of a bridge to Sakhalin Island and the allocation of funds in the amount of 1 billion rubles. Accordingly, it is necessary to choose a suitable project implementation model. The decision on this issue is given in this article.
Network modeling, project management, pareto-optimality, technical efficiency, "mainland - isl. sakhalin", "uniform" schedule, "right" schedule, "left" schedule
Короткий адрес: https://sciup.org/147232225
IDR: 147232225 | DOI: 10.14529/ctcr190109