The current state of modeling regional social and economic systems cannot still be defined as an effective tool for developing regional policies in the Russian Federation. The article provides an algorithm for modeling a regional social and economic system for the needs of the information advisory system being developed. The authors determined the functional significance of the mathematical modeling block of the regional social and economic system in the developed information advisory system; its interaction with other components of the program is described.The authors developed an algorithm that proves feasibility of applying the specific mathematical function to describe trends in the development of indicators for the forecast of the social and economic development of the RF region in the information advisory system being developed.The generated algorithm provides for the possibility of using single- or multifactor regression to form a mathematical dependence. It is shown that the result of mathematical modeling in the advisory system is the formation of a list of indicators assigned to the executive state government bodies or subdivisions of the regional government for which the information advisory system forms an assessment of the values оf indicators for the near future. Using the principle of materiality, the program forms recommendations regarding the need for management impact on the analyzed indicators. The article using the example of the Bryansk region presents the experience of using multiple regression for modeling values of the sample indicator of the development of the regional social and economic system "Investments in fixed assets". As initial data, the departmental expenditure structure of the Bryansk region for the departments of economic development and construction and architecture for 2011-2019 was used. In the program module Statistica, the corresponding regression equations were formed, and then the model was evaluated for reliability. The results of regression analysis for the estimated indicator are also given. The article provides the conclusion stating that the use of multifactor correlation-regression analysis for modeling a regional social and economic system based on the Bryansk region data makes it possible to expand the capabilities of the information advisory system being developed.

Regions of the Russian Federation, interpreted in terms and concepts of control theory as socio-economic systems, are subject to state regulation and management. Considering the regional socio-economic system from the choice of alternatives in a situation with uncertainty the impact of the environment allowed us to propose the theory of control for the respective methodology. Previously, the methods of making management decisions at the regional level were characterized by the predominance of heuristic approaches, but the current realities of dynamic changes in the external environment, coupled with the complex of tasks set in the National projects of the Russian Federation, require regional governments to strictly justify their management actions. The condition for applying the control theory to describe the management system of a regional socio-economic system is the presence and possibility of a formalized description of cause-and-effect relationships, clearly defined elements (for example, the control object, the setting influence, the Executive element, etc.).), as well as the logical structure of relationships between elements of the system. Thus, we can talk about the need to develop and implement a methodology for managing the regional socio-economic system based on the analysis of the influence of the external environment.

Предложен алгоритм для построения математических зависимостей, позволяющих прогнозировать социально-экономическое развитие региона РФ в разрабатываемой информационной советующей системе. На его основе в программном модуле Statistica сформированы уравнения регрессии, описывающие наиболее значимые тренды в социально-экономическом развитии Брянской области. Для полученных функций определена степень соответствия трендовой модели исходным данным. Ключевые слова: математическое моделирование, социально-экономическое развитие, регрессионный анализ, информационная советующая система, управленческие решения.

The development of the international trade and the entrance of domestic car manufacturers into international markets required bench equipment development for tests in accordance with the requirements of the European standards. In this connection the purpose of this work is to develop an experimental and methodical basis for the estimation of the strength correspondence of export railway produce to the European standard basis. In the work there is shown a description of the bench developed for static tests of rolling stock for loads corresponding to the European standard basis. In the requirements mentioned there is used a more extended list of loads and combination of efforts and the necessity in the application of longitudinal loads to the elements of the end wall in three levels should be particularly emphasized. On the test bench there are carried out static tests of the car of model 61-4514 for Egyptian national railways and the body of the motor-rail car of model 2853 for the railway infrastructure of Serbia.

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