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Formation of the models of mining enterprise management

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Category: Content №3 2022

Last Updated on 29 June 2022

Published on 30 November -0001

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Authors:

O.Vladyko, orcid.org/0000-0001-9779-9565, Dnipro University of Technology, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

D.Maltsev, orcid.org/0000-0003-4122-5743, Dnipro University of Technology, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

E.C.Cabana, orcid.org/0000-0002-0066-1349, Universidad Nacional de San Agustin de Arequipa, Arequipa, the Republic of Peru, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Ia.Shavarskyi, orcid.org/0000-0002-9258-575X, JARAD Recycling Technology Sp. z o.o, Smolnica, the Republic of Poland, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

R.Dychkovskyi, orcid.org/0000-0002-3143-8940, Dnipro University of Technology, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (3): 030 - 036

https://doi.org/10.33271/nvngu/2022-3/030

Abstract:

Purpose. To develop a comprehensive model of a mining enterprise, to define types of models for mathematical modelling at all management levels, and to determine principles and approaches to the formation of new input data concerning both technologies and their subsystems while combining the technologies.

Methodology. To achieve the goal, a systems approach is used, which allows selecting the types of models for modelling the enterprise activities in terms of technologies and subsystems and determining the method of generating own input data for them. For this purpose, the following was completed: the available literature and patent sources were processed and generalized; scientific and technical papers on the selection and application of the varieties of models in mining were analyzed; the principles and individual approaches to the input data formation for mathematical modelling were considered. That makes it possible to select a software mechanism and create simulation models for effective management of a mining enterprise.

Findings. Types of models for mathematical modelling at the operational, tactical, and strategic levels of enterprise management were determined and substantiated. Connection between the types of models used by management levels was specified. An expert survey for modelling at the operational level, simulation modelling at the tactical level, and dynamic programming at the strategic level of management were selected. A schematic diagram of modelling of a mining enterprise, whose structure included technologies and their subsystems at various management levels, were developed. The principles of input data formation to model all subsystems, either operating or being prepared for their implementation, were studied. The authors own approaches to the input data formation at the levels of management and technological subsystems were defined.

Originality. While performing a particular solution of the discrete problem by Bellman method, dependences of minimizing the operations for enterprise management while forming a technological chain of a mine, provided meeting the requirements of production process continuity, were obtained. These studies are aimed at establishing a complex information system with its division into elements, each of which is then used to simulate the whole mining enterprise.

Practical value. It means developing a comprehensive model of a mining enterprise, determining the types of models for mathematical modelling at all management levels, establishing a new way of input data formation in terms of both technologies and their subsystems with the implementation of additional mineral-mining technologies.

Keywords: enterprise subsystems, management level, simulation of reality, dynamic programming, mining enterprise model

References.

1. Bazaluk, O., Ashcheulova, O., Mamaikin, O., Khorolskyi, A., Lozynskyi, V., & Saik, P. (2022). Innovative activities in the sphere of mining process management. Frontiers in Environmental Science, (10), 878977. https://doi.org/10.3389/fenvs.2022.878977.

2. Dychkovskyi, R., Falshtynskyi, V., Ruskykh, V., Cabana, E., & Kosobokov, O. (2018). A modern vision of simulation modelling in mining and near mining activity. E3S Web of Conferences, 60, 00014. https://doi.org/10.1051/e3sconf/20186000014.

3. Honcharenko, S.N. (2017). Information-analytical system for selecting the optimal management strategy of a mining enterprise in the companys structure. Programni produkty s systemy, 3(79), 42-44.

4. Vladyko, O., & Maltsev, D. (2015). The new method of extraction of poor and extremely poor ores in underground conditions of Vatutynske deposit (Ukraine). New Developments in Mining Engineering, 247-251. https://doi.org/10.1201/b19901-44.

5. Sokolovskyi, .V., Pikalov, V.A., Lapaiev, A.V., & Savieliev, O.Iu. (2017). Modern requirements for the design of mining enterprises. Kombinirovana geotehnologia: resursosberezhenie i energoefektivnost, 28-29.

6. Broniatowski, D.A. (2017). Flexibility Due to Abstraction and Decomposition. Systems Engineering, 20(2), 98-117. https://doi.org/10.1002/sys.21381.

7. Pivnyak, G., Dychkovskyi, R., Smirnov, A., & Cherednichenko, Y. (2013). Some aspects on the software simulation implementation in thin coal seams mining. Energy Efficiency Improvement of Geotechnical Systems, 1-10. https://doi.org/10.1201/b16355-2.

8. Hassan, O.M. (2012). Reality Mining Via Process Mining. International Journal of Modeling and Optimization, 250-254. https://doi.org/10.7763/ijmo.2012.v2.121.

9. Kicki, J., & Dyczko, A. (2010). The concept of automation and monitoring of the production process in an underground mine. New Techniques and Technologies in Mining, 245-253. https://doi.org/10.1201/b11329-41.

10. Nikolsky, V. (2015). Development and study of contactmodular heating system using immersion combustion units. Eastern-European Journal of Enterprise Technologies, 4(8), 31-35. https://doi.org/10.15587/1729-4061.2015.47459.

11. Matayev, A., Abdiev, A., Kydrashov, A., Musin, A., Khvatina, N., & Kaumetova, D. (2021). Research into technology of fastening the mine workings in the conditions of unstable masses. Mining of Mineral Deposits, 15(3), 78-86. https://doi.org/10.33271/mining15.03.078.

12. Kobylianskyi, B., & Mkhalchenko, H. (2020). Improvement of safety management system at the mining enterprises of Ukraine. Mining of Mineral Deposits, 14(2), 34-42. https://doi.org/10.33271/mining14.02.034.

13. Hrinko, N.., Ustinov, M.I., & Osipova, T.V. (2011). Mine simulation model as a tool for developing a forecast of scientific and technological progress in underground coal mining. Ugol, (1), 34-41.

14. Wang, B.Y., & Lu, J.H. (2014). Software Networks Nodes Impact Analysis of CS Systems. Journal of Software, 24(12), 2814-2829. https://doi.org/10.3724/sp.j.1001.2013.04397.

15. Chen, M.Y. (2010). Managerial pay adjustments: Decomposition and impact on firm productive efficiency. Economic Modelling, 27(1), 196-207. https://doi.org/10.1016/j.econmod.2009.08.006.

16. Golovchenko, A., Dychkovskyi, R., Pazynich, Y., Edgar, C.C., Howaniec, N., Jura, B., & Smolinski, A. (2020). Some Aspects of the Control for the Radial Distribution of Burden Material and Gas Flow in the Blast Furnace. Energies, 13(4), 923. https://doi.org/10.3390/en13040923.

17. Kopacz, M., Kulpa, J., Galica, D., Dyczko, A., & Jarosz, J. (2019). Economic valuation of coal deposits The value of geological information in the resource recognition process. Resources Policy, (63), 101450. https://doi.org/10.1016/j.resourpol.2019.101450.

18. Petlovanyi, M., Kuzmenko, O., Lozynskyi, V., Popovych, V., Sai,K., & Saik, P. (2019). Review of man-made mineral formations accumulation and prospects of their developing in mining industrial regions in Ukraine. Mining of Mineral Deposits, 13(1), 24-38. https://doi.org/10.33271/mining13.01.024.

19. Kamiski, P., Dyczko, A., & Prostaski, D. (2021). Virtual Simulations of a New Construction of the Artificial Shaft Bottom (Shaft Safety Platform) for Use in Mine Shafts. Energies, 14(8), 2110. https://doi.org/10.3390/en14082110.

20. Uteshov, Y., Galiyev, D., Galiyev, S., Rysbekov, K., & Nuryzbayeva, D. (2021). Potential for increasing the efficiency of design processes for mining the solid mineral deposits based on digitalization and advanced analytics. Mining of Mineral Deposits, 15(2), 102-110. https://doi.org/10.33271/mining15.02.102.

21. Bukreieva, D., Saik, P., Lozynskyi, V., & Stoliarska, O. (2022). Assessing the effectiveness of innovative projects implementation in the development of coal deposits by geotechnology of underground gasification. IOP Conference Series: Earth and Environmental Science, (970), 012031. https://doi.org/10.1088/1755-1315/970/1/012031.

22. Lorenc, S., & Kustra, A. (2017). Valuation and division of sustainable value in mining enterprise. Studia i Prace WNEiZ, 50, 57-70. https://doi.org/10.18276/sip.2017.50/3-05.

23. Mggenburg, J. (2015). Von Modell zu Modell. Modelle Und Modellierung, 11-21. https://doi.org/10.30965/9783846758809_003.

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