Paper
5 January 2023 Computer simulation of the analysis of the economic process of demand for the products of industrial enterprises
O. N. Beketova, O. V. Grigorenko, I. V. Belousova, I. V. Chizhankova, A. L. Frolov
Author Affiliations +
Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 1256415 (2023) https://doi.org/10.1117/12.2669487
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan
Abstract
The article presents a three-factor demand forecasting model based on a regression-correlation analysis of the economic process of demand for industrial products. The model, based on many factors, will make it possible to assess the attractiveness of each settlement, which implies a phased expansion of the network of industrial enterprises in the territory of the Russian Federation. The model compiled on the basis of regression-correlation analysis includes two factors: an indicator of the efficiency of small and medium-sized businesses and an indicator of the effectiveness of corporate business. Performance indicators for each line of business are calculated as the sum of the factors that explain this indicator, weighted by significance factors. In the performance indicators of small, medium and corporate businesses, the most important factors are the quantitative characteristics and financial condition of small, medium and corporate businesses, and the least significant factor is the personnel of these entities.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O. N. Beketova, O. V. Grigorenko, I. V. Belousova, I. V. Chizhankova, and A. L. Frolov "Computer simulation of the analysis of the economic process of demand for the products of industrial enterprises", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 1256415 (5 January 2023); https://doi.org/10.1117/12.2669487
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KEYWORDS
Computer simulations

Samarium

Modeling

Mathematical optimization

Process modeling

Copper

Factor analysis

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