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Fundamental imperatives of eliminating uncertainty on the basis of monitoring the activity of the iron ore enterprise

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Category: Content №3 2023

Last Updated on 27 June 2023

Published on 30 November -0001

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Authors:

T.Beridze*, orcid.org/0000-0003-2509-3242, Kryvyi Rih National University, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Z.Baranik, orcid.org/0000-0002-9753-4572, Kyiv National Economics University named after Vadym Hetman, Kyiv, Ukraine

I.Dashko, orcid.org/0000-0001-5784-4237, Zaporizhzhia National University, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Hamova, orcid.org/0000-0002-9752-6900, Zaporizhzhia National University, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S.Tkachenko, orcid.org/0000-0002-3798-5902, Zaporizhzhia Polytechnic National University, Zaporizhzhia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (3): 151 - 156

https://doi.org/10.33271/nvngu/2023-3/151

Abstract:

Purpose. Determination of the optimal ratio of determinism and stochasticity on the basis of monitoring the activity of an iron ore enterprise in order to eliminate uncertainty when making management decisions.

Methodology. In the research process, the methodological principles of system analysis were applied, namely entropy-information relations characterizing the structure and state of subsystems. Methodical approaches of the theory of information regarding the determination of the measure of information for the elimination of uncertainty. Methodology for monitoring the activities of enterprises in accordance with the accumulation and storage of information to ensure effective management.

Findings. It has been proven that in the process of monitoring the functioning of an iron ore enterprise, the amount of information increases. Thus, the presence of stochastic relationships becomes an objective necessity. However, at the same time deterministic connections do not become less essential. The amount of information is increasing, which is the basis for the appearance of redundant information. It is substantiated that stochastic connections are a source of new, unpredictable information that is received through channels from the external environment.

Originality. For the first time, the ratio of deterministic and stochastic information links in the functioning of the enterprise has been investigated and numerically determined on the basis of monitoring, which forms the basis for eliminating uncertainty when making management decisions.

Practical value. The analysis of the monitoring process of iron ore enterprises shows that, having achieved determination at a given level of management, the corresponding system continues development at a more complex level. For iron ore enterprises, there is a transition from paper media to digital systems. As a result of innovation, a high degree of determination can be achieved. Nevertheless, the statement that the limit of any development is narrow specialization, which is due to the complete determination of the system, is correct with one significant caveat: the considered development process is carried out at an unchanged structural level.

Keywords: iron ore enterprise, determinism, stochasticity, uncertainty, monitoring, information

References.

1. Biliaiev, S. S. (2016). Project Approach at an Enterprise: Essence and Specific Characteristics. Derzhava ta rehiony. Seriia: Ekonomika ta pidpryiemnytstvo, 3, 30-34.

2. Shvets’, L. P., & Zakharkevych, N. P. (2011). Components of the life cycle of the project. Universytets’ki naukovi zapysky, 2, 439-448.

3. Tsaruk, A. Yu. (2014). System of economic and mathematical monitoring of iron ore mining and beneficiation production. Naukovyj visnyk ChDIEU. Rehional’na ekonomika, 1(21), 47-50.

4. Vasyl’ieva, T. A., Boronos, V. M., Zakharkin, O. O., & Bilous, Yu. H. (2019). Stakeholder approach to monitoring the company’s activity in the strategic management system. Visnyk Sums’koho derzhavnoho universytetu. Seriia Ekonomika, 1, 154-158. https://doi.org/10.21272/ 1817-9215.2019.1-21.

5. Halitsyn, V. K., Suslov, O. P., & Samchenko, N. K. (2013). Monitoring in the system of managing the implementation of the state target program. Modeliuvannia ta informatsijni systemy v ekonomitsi, 89, 26-46.

6. Halitsyn, V. K., Suslov, O. P., & Samchenko, N. K. (2013). Conceptual principles of monitoring. Biznes-inform, 9, 330-335.

7. Chornous, H. O. (2014). Proactive management of socio-economic systems based on intellectual data analysis: methodology and models: monograph. Kyiv: VPTs “Kyivs’kyj Universytet”.

8. Rybakov, M. V. (2016). The evolution of monitoring as one of the methods of enterprise management: a western approach. Visnyk Kharkivs’koho natsional’noho tekhnichnoho universytetu sil’s’koho hospodarstva imeni Petra Vasylenka, 177, 92-98.

9. Pererva, P. H., & Hladenko, I. V. (2010). Monitoring of innovative activity: interpretation of results. Marketynh i menedzhment innovatsij, 2, 108-116.

10. Nyzhnyk, V. M. (2019). Modern trends and trends in the marketing of educational services. Khmel’nyts’koho natsional’noho universytetu: naukovyj zhurnal. Ekonomichni nauky, 4(3(372)), 242-246. https://doi.org/10.31891/2307-5740-2019-272-4-3-41.

11. Mel’nyk, O. H., & Petskovych, M. D. (2012). Monitoring of enterprise activity. Visnyk Natsional’noho universytetu “L’vivs’ka politekhnika”: Menedzhment ta pidpryiemnytstvo v Ukraini: etapy stanovlennia i problemy rozvytku, 722, 381-386.

12. Timofieiev, V. O., & Chumachenko, I. V. (2015). Modeling of processes in the economy and project management using new information technologies: monograph. Kharkiv: KhNURE.

13. Raievnieva, O. V., & Chankina, I. V. (2013). Management models of the development of an industrial enterprise in the conditions of a transformational economy: monograph. Kharkiv: VD “Inzhek”.

14. Pashko, A. O., Rozora, I. V., & Yanevych, T. O. (2020). On modeling the Gaussian process with accuracy and reliability in the space Lp([0,T]). Naukovyj visnyk Uzhhorods’koho universytetu. Seriia “Matematyka i informatyka”, 2(37), 91-100. https://doi.org/10.24144/2616-7700.2020.2(37).91-100.

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