DEVELOPMENT OF A METHOD FOR ASSESSING THE FUNCTIONING OF A GRAIN PRODUCT SUB-COMPLEX USING MATHEMATICAL MODELING

Beisekova P. lIlyas A. Kaliyeva Y. Kirbetova Z. Baimoldayeva M.
2023 Technology Center

Eastern-European Journal of Enterprise Technologies
2023 #2 Issue 13-122 92 - 101 pp.

The object of the study is the process of functioning of enterprises of the grain product subcomplex. In the course of the study, the problem of the growth rate and the peculiarities of the functioning of enterprises of the grain product subcomplex were solved. An assessment of the functioning of the grain product subcomplex was carried out Republic of Kazakhstan using mathematical modeling, for which a methodology has been developed that allows considering factors with a heterogeneous metric, which includes the following steps: 1) index analysis twenty-one indicators, divided into groups; 2) development of formulas for calculation and integral indicators characterizing their dynamics; 3) determining the pace of functioning of the grain product subcomplex for 2011–2021. Graphs were made and a forecast of the performance indicators of the subcomplex until 2024 is presented for one of each group with the maximum coefficient of determination R². According to three scenarios: optimistic, probabilistic and pessimistic. R² is an indicator of the quality of forecasts: than the closer its value is to one, the higher the probability of execution. For eleven charts, the coefficient of determination is in the range from 0.9003 (pessimistic forecast for other industrial use of grain) to 0.9838 (optimistic forecast for the number of granaries). For ten, from 0.8025 to 0.8702, and for nine, from 0.705 to 0.7932. This means that the reliability of the calculations for twenty-nine forecast options is in the range from 70 to 98 %. This indicates fairly objective predictive values of the subcomplex performance indicators until 2024. Based on the results of the studies, optimistic and pessimistic scenarios are more likely to be implemented

agro-industrial complex , assessment methodology , growth rate , integral indicator , mathematical modeling

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Esil University, Zhubanova str.,7, Astana, 010005, Kazakhstan
Department of Economics and Management, Almaty Technological University, Tole bi,100, Almaty, 050012, Kazakhstan
Department of Accounting and Finance, Almaty Technological University, Tole bi,100, Almaty, 050012, Kazakhstan
Department of Business and Management, International Technical and Humanitarian University, Zhetysu str.,32, Almaty, 050015, Kazakhstan

Esil University
Department of Economics and Management
Department of Accounting and Finance
Department of Business and Management

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