УДК: 65.012.16

DOI: https://doi.org/10.36887/2415-8453-2022-1-2

Vitalii SHARKO
Doctor of Economics, Associate Professor, Associate Professor of the Department of Commodity Examination and Trade Entrepreneurship,
Vinnytsia Institute оf Trade and Ecоnоmics SUTE
Tatiana ZAVHORODNIA
Doctor of Economics, Professor of the Department of Automated Systems and Modeling in Economics, Khmelnytskyi National University

JEL classification: C15


Abstract

The created economic and mathematical models allowed to calculate the quantitative ratio of product costs and investment costs for progressive technological renewal of production, and established interval limits to predict possible changes in production as a result of new technologies and plan the results of the enterprise depending on its investment and innovation activity. During the analysis, the parameters that characterize the quality of the developed models and indicate their adequacy, and feasibility in practice are calculated. Scientific novelty of the research is a mathematical explanation of the laws of interaction of innovation and production activities, estimated quantitative impact of new technologies on the growth of efficiency of industrial enterprises. The article considers the current problems of development of the production and economic system. The authors present a modeling of the prerequisites for step-by-step flexible adjustment of strategies to achieve the expected (predicted) value of the components of the flexible functioning of a particular production and economic system (market conditions). As a result, it was determined that the distance between two points on the plane (t, R) in management understanding and economic perception is a choice at a certain point in time t, belonging to the interval [t0, T] of the appropriate strategy of flexible dynamic transition (with the greatest benefit or with the lowest costs), from one (t0, R (t0)), specified in certain units of measurement of their coordinates, to another (T, R (T)), the parameters of which correspond to the value of their possible achievement, i.e. a certain expected (planned) or predictable and even intuitive forecast indicator. Determining the value of the distance between two indicators creates the preconditions for step-by-step flexible adjustment of strategies to achieve its expected (predicted) value. At any time t1, the value of the final T = T ± △ t can be adjusted, the strategy for achieving it fi (t) (1, 2… 7) can be changed, and the total amount of possible costs can be changed: .

Keywords: production and economic system, flexible dynamic operation, modeling, forecasting, market conditions.

References

  1. Kravchyk, Yu. V. (2021). «Planning of foreign economic activity as a factor in increasing the competitiveness of the enterprise on the world market». Visnyk Khmel’nyts’koho natsional’noho universytetu. Seriia: ekonomichni nauky. no. 4, pp. 78-83.
  2. Moskalenko, V. V., Hodlevs’kyj, M. D. (2018). Modeli ta metody stratehichnoho upravlinnia rozvytkom pidpryiemstva. [Models and methods of strategic management of enterprise development]. Vydavnytstvo «Tochka». Kharkiv. Ukraine.
  3. Riabkova, O. V. (2018). Monitorynh ekonomichnykh pokaznykiv rezul’tatyvnosti mashynobudivnoho pidpryiemstva. [Monitoring of economic indicators of efficiency of the machine-building enterprise]. Ph.D. Thesis: 08.00.04. L’viv. Ukraine.
  4. Sierikov, A. V., Hran’ko, K. B. (2012). «Economic and mathematical study of the processes of formation of financial and production potential of a construction company». Problemy ekonomiky. no. 1, pp. 101-105.
  5. Fedulova, L. I. (2007). «Innovative development of Ukrainian industry: trends and patterns». Aktual’ni problemy ekonomiky. no. 3 (69), pp. 82–97
  6. Sharko, V. V. (2019). «Algorithm for managing innovative development of production. Bulletin of Khmelnytsky National University». Ekonomichni nauky. no. 4, pp. 253–258.
  7. Shennon, K. (1963). Raboty po teoryy ynformatsyy y kybernetyke. [Works on information theory and cybernetics]. Yzd-vo ynostrannoj lyteratury. Moscow. Russia.
  8. Lahodiienko, V. V., Lahodiienko, N. V. (2019). «Modeling the assessment of innovation capacity of industrial enterprises». Zbirnyk naukovykh prats’ «Finansovo-kredytna diial’nist’: problemy teorii ta praktyky». Web of Science. №1 (28), рр. 280-289. https://doi.org/10.18371/fcaptp.v1i28.162979

The article was received 29.12.2021


Quote article, APA style

Vitalii Sharko, Tatiana Zavhorodnia . 29.12.2021. Modeling of flexible functioning indicators of production and economic system. The journal "Ukrainian Journal of Applied Economics and Technology". 2022 / #1. 20-26pp. https://doi.org/10.36887/2415-8453-2022-1-2

Quote article, MLA style

Vitalii Sharko, Tatiana Zavhorodnia . "Modeling of flexible functioning indicators of production and economic system". The journal "Ukrainian Journal of Applied Economics and Technology". 29.12.2021. https://doi.org/10.36887/2415-8453-2022-1-2

Quote article, translit