№64-08

Developing a model parameter optimization of coal mines under diversification

A. Khorolskyi1, V. Pochepov2, V. Lapko2, V. Salli2, O. Mamaikin2

1Institute for Physics of Mining Processes the National Academy Sciences of Ukraine, Dnipro, Ukraine

2Dnipro University of Technology, Dnipro, Ukraine

Coll.res.pap.nat.min.univ. 2021, 64:99-111

https://doi.org/10.33271/crpnmu/64.099

Full text (PDF)

ABSTRACT

Purpose. To propose a new methodological approach to optimizing the parameters of the functioning of coal mines in the context of diversification.

The methods. The production flows of coal mines are considered, as well as production functions. To solve the problem of diversification of production, the relationship between the types of resources expended, as well as the level of production in the form of raw materials, was compared. Based on the production function of Cobb-Douglas, a model of life support for the operation of a coal mine is built, considering the possibility of diversifying the activity.

Findings. For the first time, the paper proposes a model for optimizing the parameters of mining in the context of diversification, which demonstrates the ratio of production functions and resources. With the help of the developed model, it is possible to trace in time the efficiency of the use of production resources, to determine the volume of production, to calculate the main parameters of the functioning of coal mines, to study at the expense of which resources the increase in productivity is achieved.

The originality. For the first time, the possibility of diversifying mining activities by changing production flows is considered. Methodological recommendations for assessing the production activity of the mining complex are given. In this work, for the first time, to improve the efficiency of coal mines functioning, the internal potential of the technological scheme is considered, and the components that form it are analyzed. This made it possible to form management decisions, which consist in determining the volume of production, as well as the ratio between the attracted resources necessary to ensure the specified volume of production, constant monitoring of the use of resources, by establishing a rational ratio between fixed assets, labor, material resources; as well as establishing the interchangeability of productive flows in the aggregate balance sheet.

Practical implementation. For practical application, the paper proposes a method for determining the rational volume of production from the standpoint of optimizing the production activities of an enterprise, as well as the ratio of production resources to achieve a given scale of production. Thus, there is an increase in capital productivity with the same degree of use of fixed assets, labor, materials. For the full and effective use of the technology, a specific example was considered to determine the optimal method of manufacturing products for a coal mining enterprise.

Keywords: productive flow, production function, method of production, production function, efficiency, criterion.

References:

  1. Hrinov, V. & Khorolskyi, A. (2018). Improving the Process of Coal Extraction Based on the Parameter Optimization of Mining Equipment. In E3S Web of Conferences, Ukrainian School of Mining Engineering. (Vol. 60. p. 00017). EDP Sciences.
    doi.org/10.1051/e3sconf/20186000017
  2. Khorolskyi, A., Hrinov,V., Mamaikin, O., & Demchenko Yu. (2019). Models and methods to make decisions while mining production scheduling. Mining of Mineral Deposits, 13(4), 53-62.
    https://doi.org/10.33271/mining13.04.053
  3. Lyu, J., Lian, X., & Li, P. (2018). Diversified management of coal enterprises in China: model selection, motivation and effect analysis. In IOP Conference Series: Earth and Environmental Science (Vol. 108, No. 3, p. 032005). IOP Publishing.
  4. Li X. (2020) Diversification. In: The Road Map of China's Steel Industry. Springer, Singapore.
    https://doi.org/10.1007/978-981-15-2074-7_12
  5. Jonek-Kowalska, I. (2018). How do turbulent sectoral conditions sector influence the value of coal mining enterprises? Perspectives from the Central-Eastern Europe coal mining industry. Resources Policy, 55, 103-112.
    https://doi.org/10.1016/j.resourpol.2017.11.003
  6. Tabashnikova, O. (2017). Some Diversification Factors of Old Industrial Regions' Economy and Transition to the Innovative Development. In E3S Web of Conferences (Vol. 21, p. 04022). EDP Sciences.
    https://doi.org/10.1051/e3sconf/20172104022
  7. Jones S., Müller A. (1992) The Diversification of Mining since 1961. In: The South African Economy, 1910–90. Palgrave Macmillan, London.
    https://doi.org/10.1007/978-1-349-22031-1_18
  8. Campbell, S., & Coenen, L. (2017). Transitioning beyond coal: Lessons from the structural renewal of Europe’s old industrial regions. In CCEP Working Papers. Centre for Climate Economics & Policy, Crawford School of Public Policy. The Australian National University.
  9. Gawlikowska-Fyk A. (2019) Poland: Coping with the Challenges of Decarbonization and Diversification. In: Godzimirski J. (eds) New Political Economy of Energy in Europe. International Political Economy Series. Palgrave Macmillan, Cham.
    https://doi.org/10.1007/978-3-319-93360-3_8
  10. Li, C. M., Cui, T., Nie, R., Shan, Y., Wang, J., & Qian, X. (2017). A Decision model to predict the optimal size of the diversified management industry from the view of profit maximization and coordination of industrial scale. Sustainability, 9(4), 642.
    https://doi.org/10.3390/su9040642
  11. Li, C. M., Cui, T., Nie, R., & Yan, X. Y. (2017). Measurement of the Industrial Collaboration of the Diversified Coal Industry: China Coal Energy Company as an Example. Mathematical Problems in Engineering, 2017.
    https://doi.org/10.1155/2017/9416279
  12. Safarzynska, K. (2017). The implications of industrial development for diversification of fuels. Ecological Economics, 137, 37-46.
    https://doi.org/10.1016/j.ecolecon.2017.03.005
  13. Khorolskyi, A., Hrinov, V., Mamaikin, O., & Fomychova, L. (2020). Research into optimization model for balancing the technological flows at mining enterprises. E3S Web Of Conferences, 201, 01030.
    https://doi.org/10.1051/e3sconf/202020101030
  14. Khorolskyi, A. O., Hrinov, V. H., & Mamaikin, O. R. (2019). Innovatsiini perspektyvy pidzemnoi ekspluatatsii vuhilnykh rodovyshch. Visnyk Zhytomyrskoho derzhavnoho tekhnolohichnoho universytetu. Seriia: Tekhnichni nauky, (1 (83)), 289-298.
    https://doi.org/10.26642/tn-2019-1(83)-289-298
  15. Khorolskyi, A.O., Lapko, V.V., Salli, V.S., & Mamaikin, O.R. (2020). Vybir tekhnolohii demineralizatsii stichnykh vod, yak skladovoi tekhnolohichnykh potokiv vuhilnykh shakht. Zbirnyk naukovykh prats Natsionalnoho hirnychoho universytetu, 63, 61-73.
    https://doi.org/10.33271/crpnmu/63.061
  16. Surgay, N.S. (1994). O nekotorykh printsipakh obespecheniya vysokoeffektivnogo i nadezhnogo funktsionirovaniya shakhty. Ugol' Ukrainy, 3, 14-18
  17. Moldabayev, S., Sultanbekova, Z., Adamchuk, A., & Sarybayev, N. (2019). Method of optimizing cyclic and continuous technology complexes location during finalization of mining deep ore open pit mines. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 19(1.3), 407–414.
    https://doi.org/10.5593/sgem2019/1.3/S03.052
  18. Babets, Ye. K., Adamchuk, A. A., Shustov, O. O., Anisimov, O. O., & Dmytruk, O. O. (2020). Determining conditions of using draglines in single-tier internal dump formation. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 6, 5-14.
    https://doi.org/10.33271/nvngu/2020-6/005

Innovation and technology

 

Дослідницька платформа НГУ

 

Visitors

477199
Today
This month
Total
154
6837
477199