№68-07

Results of research of innovative potential of coal mines in conditions of diversification

A. Khorolskyi1, L. Fomychova2, V. Pochepov2, O. Mamaikin2, V. Lapko2

1Branchfor Physics of Mining Processes of the M.S. Poliakov Institute of Geotechnical Mechanicsthe National Academy Sciences of Ukraine, Dnipro, Ukraine

2Dnipro University of Technology, Dnipro, Ukraine

Coll.res.pap.nat.min.univ. 2022, 68:81-94

https://doi.org/10.33271/crpnmu/68.081

Full text (PDF)

ABSTRACT

Purpose is to propose a new methodological approach to complex assessment of coal-mining enterprises basing on the evaluation of technological schemes from the viewpoint of their susceptibility to innovations.

Methodology. To solve the specified problems, a complex method has been used. The method involves geometrical interpretation of a task of determining boundary parameters of technological schemes, application of criteria-based estimations for determining a level of production efficiency, and use of complex index of economic reliability.

Findings. For the first time, optimality criteria for innovation management in coal industry have been proposed; they take into consideration a level of organization of innovations, organization of innovative production system, and organization of innovative production process. A complex index “internal potential of technological networks” has been developed, being one of the essential parameters for evaluating coal mine conditions. It has been identified that its formation is the result of the influence of certain factors determining the underground mining efficiency and, first of all, the coal mine property – spatial development. According to the represented concept, a policy of optimal control for maintaining the operating mine capacities is based on the evaluation of remained reserves, substantiated planning of a stoping line, and correspondence of extraction equipment to the operating conditions. It is possible to increase the concentration of production by redistributing the remained reserves and integration of mines by mining operations; that makes it possible to concentrate resources within those parts of a mine field where the effect will show its maximum. Modelling of such problems is based on a system of constraints without any requirements for providing the planned mine loading, obligatory in the past.

Originality. Analysis of the indices of efficiency of coal-mining technological schemes and accounting of the developed factual system of indices have helped elaborate recommendations concerning the use of optimality criteria in the organizational tasks of assessment of the potential of technological scheme of mines. Consequently, the carried out research has resulted in a new system as for innovation management in a mining complex.

Practical implications. The proposed approaches can be used for complex assessment of coal mines that will help determine a level of state support as well as predict a level of development and concentration of mining operations in space. All that will allow effective managing for the main production resources to increase the potential of technological mining schemes and reduce a level of unprofitability of state coal mines.

Keywords: innovations, minimal costs, production volume, investment, economic reliability, efficiency, space

References

  1. 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
  2. Khorolskyi, A., Mamaikin, O., Medianyk, V., Lapko, V., & Sushkova, V. (2021). Development and implementation of technical and economic model of the potential of operation schedules of coal mines. ARPN Journal of Engineering and Applied Sciences, 16(18), 1890-1899.
  3. Hrinov, V. H., & Khorolskyi, A. O. (2019). Optymalne proektuvannia parametriv hirnychozbahachuvalnykh pidpryiemstv dlia ratsionalnoho osvoiennia tsinnykh rodovyshch Ukrainy. Fiziko-tekhnicheskie problemy gornogo proizvodstva, (21), 128-145.
    https://doi.org/10.37101/ftpgp21.01.008
  4. Klippel, A.F., Petter, C. O., & Antunes Jr, J. A. V. (2008). Management Innovation, a way for mining companies to survive in a globalized world. Utilities Policy, 16(4), 332-333.
  5. Bryant, P. (2015). The case for innovation in the mining industry. Clareo. Chicago, EUA, 14.
  6. Gruenhagen, J.H., & Parker, R. (2020). Factors driving or impeding the diffusion and adoption of innovation in mining: A systematic review of the literature. Resources Policy, 65, 101540.
  7. Aznar-Sánchez, J.A., Velasco-Muñoz, J.F., Belmonte-Ureña, L.J., & Manzano-Agugliaro, F. (2019). Innovation and technology for sustainable mining activity: A worldwide research assessment. Journal of Cleaner Production, 221, 38-54.
  8. Endl, A., Tost, M., Hitch, M., Moser, P., & Feiel, S. (2019). Europe's mining innovation trends and their contribution to the sustainable development goals: Blind spots and strong points. Resources Policy, 101440.
  9. Gruenhagen, J. H., & Parker, R. (2020). Factors driving or impeding the diffusion and adoption of innovation in mining: A systematic review of the literature. Resources policy, 65, 101540.
    https://doi.org/10.1016/j.resourpol.2019.101540
  10. Milanez, B., & de Oliveira, J.A.P. (2013). Innovation for sustainable development in artisanal mining: Advances in a cluster of opal mining in Brazil. Resources Policy, 38(4), 427-434.
  11. Zhang, L., Wang, J., & Feng, Y. (2018). Life cycle assessment of opencast coal mine production: a case study in Yimin mining area in China. Environmental Science and Pollution Research, 25(9), 8475-8486.
  12. Betrie, G.D., Sadiq, R., Morin, K.A., & Tesfamariam, S. (2013). Selection of remedial alternatives for mine sites: A multicriteria decision analysis approach. Journal of environmental management, 119, 36-46.
  13. Bakhtavar, E., Shahriar, K., & Mirhassani, A. (2012). Optimization of the transition from open-pit to underground operation in combined mining using (0-1) integer programming. Journal of the Southern African Institute of Mining and Metallurgy. 112(12), 1059-1064.
  14. Sabour, S.A., & Dimitrakopoulos, R. (2011). Incorporating geological and market uncertainties and operational flexibility into open pit mine design. Journal of Mining Science, 47(2), 191-201.
  15. Hrinov, V.G., & Khorolskyi, A.A. (2018). Improving the Process of Coal Extraction Based on the Parameter Optimization of Mining Equipment. E3S Web of Conferences, Ukrainian School of Mining Engineering, 60, 1-10.
  16. Krzak, M. (2013). The Evaluation Of An Ore Deposit Development Prospect Through Application Of «The Games Against Nature» Approach. Asia-Pacific Journal of Operational Research, 30(6), 1350029.
  17. Iphar, M. E. L. İ. H., & Goktan, R. M. (2006). An application of fuzzy sets to the diggability index rating method for surface mine equipment selection. International journal of rock mechanics and mining sciences, 43(2), 253-266.
  18. Gonen, A., Malli, T., & Kose, H. (2012). Selection of ore transport system for a metalliferous underground mine. Archives of Mining Sciences, 57(3), 779-785.
  19. Khorolskyi, A., Hrinov, V., Mamaikin, O., & Fomychova, L. (2020). Research into optimization model for balancing the technological flows at mining enterprises. In E3S Web of Conferences (Vol. 201, p. 01030). EDP Sciences.
    https://doi.org/10.1051/e3sconf/202020101030
  20. Bazaluk O, Ashcheulova O, Mamaikin O, Khorolskyi A, Lozynskyi V and Saik P (2022) Innovative Activities in the Sphere of Mining Process Management. Front. Environ. Sci. 10:878977
    https://doi.org/10.3389/fenvs.2022.878977
  21. Salli, S., Pochepov, V., & Mamaykin, O. (2014). Theoretical aspects of the potential technological schemes evaluation and their susceptibility to innovations. In Progressive Technologies of Coal, Coalbed Methane, and Ores Mining(pp. 491-496)
  22. Adamchuk, A., Shustov, O., Panchenko, V., & Slyvenko, M. (2019). Substantiation of the method of determination the open-cast mine final contours taking into account the transport parameters. Collection of Research Papers of the National Mining University, 59, 21–32.
    https://doi.org/10.33271/crpnmu/59.021
  23. Pavlychenko, A., Adamchuk, A., Shustov, O., & Anisimov, O. (2020). Justification of dump parameters in conditions of high water saturation of soils. Technology Audit and Production Reserves, 6(3(56)), 22–26.
    https://doi.org/10.15587/2706-5448.2020.218139
  24. Khorolskyi, A., Pochepov, V., Lapko, V., Salli, V., & Mamaikin, O. (2021). Developing a model parameter optimization of coal mines under diversification. Collection of Research Papers of the National Mining University, 64, 99–111.
    https://doi.org/10.33271/crpnmu/64.099
  25. Khorolskyi, A., Frentsel, E., & Mamaikin, O. (2021). Development of a model of reproduction of internal reserves of coal mines. Collection of Research Papers of the National Mining University, 65, 77–87.
    https://doi.org/10.33271/crpnmu/65.077

Innovation and technology

 

Дослідницька платформа НГУ

 

Visitors

477199
Today
This month
Total
154
6837
477199