Siberian State Industrial University, Novokuznetsk, Russia:

E. V. Ivanova, Cand. Econ., Associate Prof., Head of the Dept. of Management and Sectoral Economics, e-mail: ivanovaev75@mail.ru

A. I. Musatova, Lecturer, Institute of Additional Education, e-mail: musatova-ia@yandex.ru

Tomsk Polytechnic University, Tomsk, Russia:
N. V. Martyushev, Cand. Eng., Associate Prof., Dept. of Materials Science, e-mail: martjushev@tpu.ru

Siberian Federal University, Krasnoyarsk, Russia¹ ; Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia² ; Bauman Moscow State Technical University, Moscow, Russia³:

V. V. Kukartsev, Cand. Eng., Associate Prof.^1,2, Researcher³, e-mail: vvkukartsev@sfu-kras.ru

Moscow State University of Civil Engineering, Moscow, Russia:
A. I. Karlina, Cand. Eng., Researcher, e-mail: karlinat@mail.ru

Mathematical models of multivariate payback periods for a metallurgical investment project have been developed, allowing for a phased situational simulation of the accumulation of expected income directed to reinvestment. Currently, a variety of methods for evaluating the effectiveness of projects are used, the choice of which depends on the scale and duration of its implementation, on the volume of investments, on the type of financial stability of the enterprise. The proposed multivariate approach to evaluating the effectiveness of the project, considered on a specific example of the reconstruction of the electric steel-smelting shop. Three types of structured mathematical models for calculating the effectiveness of an investment project are given. Many models 1 as basic options assume that initially cash flows after the reconstruction of modernization will flow evenly over time intervals (years, quarters or months). Model 2 is planned taking into account the uneven receipt of components of cash income. So, at the first stages of time, it is planned to reduce net profit, and then increase it compared to the initial values. The total depreciation deductions from the introduction of capital investments by stages will decrease. Model 3 is a development of models 2, and is determined by complex (dynamic) methods, where the effectiveness of the investment project is evaluated taking into account the discounting of income. The algorithmic support of the decision support system on the timing of the effectiveness of a metallurgical investment project is presented. The generated models for calculating the effectiveness of the project are presented in the form of special tables that correspond to the step-by-step procedure for determining situational options provided to the customer of the project to select a rational option for the payback period when it is implemented in the electric steelmaking shop of EVRAZ ZSMK JSC.

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