The practice of using a network of economic and mathematical modeling of the process of investment planning
The objectives of improving investment planning in today's economy can be considered as necessary components of any enterprise management process and are precisely problems. The development of technologies based on the optimization of the investment planning is highly relevant scientific problem. In this paper, we propose to use methods of network planning and management as a tool for economic and mathematical modeling of investment planning for the business entity. Appropriate to the process network model allows for the efficient organization of work on investment planning. The article describes the general methodology of the investment management process for designing an economic entity. Real example illustrates the application of the proposed network model for the development of the investment project «Start of new business in the food industry (frozen products)». The study analyzes all processes / operations and their relationships, ordering and coding work of the relevant stage of the project; built a network schedule; the parameters of the network model and built a calendar schedule, allowing time to visually see the most important process of the work. It should be noted that the network was carried out economic and mathematical modeling by two parameters - the time (duration) of the selected works in the project and their cost. The results of this study can be used by any business entity engaged in investment activities.
Keywords
инвестиционное проектирование, сетевое моделирование, параметры сетевой модели, календарный график, investment planning, network modeling, the parameters of the network model, scheduleAuthors
Name | Organization | |
Butsenko E.V. | Ural State University of of Economics | evl@usue.ru |
References

The practice of using a network of economic and mathematical modeling of the process of investment planning | Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika – Tomsk State University Journal of Economics. 2016. № 1(33).