The article is devoted to the issues of planning and budgeting of mining enterprises. External conditions (mining and geological, mining engineering, weather) have a significant impact on the volume of production of finished products and the amount of conditionally variable expenses of a mining enterprise. A different combination of these conditions during a calendar year leads to a change in the volume of production of finished products per unit of time, which creates uncertainty and complicates the planning and budgeting process. The paper proposes a method for calculating the planned volume of production of finished products, taking into account various external conditions, the limitations (limits) that should be taken into account when calculating the volume of production are disclosed. The methodology is developed taking into account the peculiarities of the technological process of production of finished products (fractional crushed stone) of a mining enterprise. Methodological tools of the research: analysis of statistical data on the industry and individual mining enterprises, analysis of the practical activities of mining enterprises. The factors that have a significant impact on the volume of production of finished products in the mining industry are considered. A three-factor multiplicative model is constructed that allows taking into account the influence of mining, geological, mining and weather conditions on the volume of production of finished products of a mining enterprise.
mining enterprise, the volume of production of finished products, conditionally variable costs, planning, demand, budgeting, multiplicative model
1. Proekt sravnitel'nogo analiza finansovogo sostoyaniya rossiyskih organizaciy TestFirm.ru [Elektronnyy resurs]. URL: https://www.testfirm.ru/keyrates/08_dobycha-prochikh-poleznykh-iskopaemykh (data obrascheniya: 21.05.2021).
2. Obscherossiyskiy klassifikator vidov ekonomicheskoy deyatel'nosti (OKVED 2) OK 029-2014 (KDES Red. 2) (prinyat i vveden v deystvie prikazom Federal'nogo agentstva po tehnicheskomu regulirovaniyu i metrologii ot 31 yanvarya 2014 g. N 14-st) (s izmeneniyami i dopolneniyami).
3. Agafonov V.V., Zalyadnov V.Yu., Yusupov M.E., Bikteeva N.S. Organizacionno-tehnologicheskie resheniya povysheniya kachestva postavlyaemogo na pererabotku syr'ya i snizheniya resursoemkosti gornogo proizvodstva // Gornyy informacionno-analiticheskiy byulleten' (nauchno-tehnicheskiy zhurnal). 2018. № S64. S. 56-68.
4. Andreeva L.I., Krasnikova T.I., Ushakov Yu.Yu. Metodologiya formirovaniya effektivnoy sistemy obespecheniya rabotosposobnosti gornoy tehniki // Izvestiya vysshih uchebnyh zavedeniy. Gornyy zhurnal. 2019. № 5. S. 92-106.
5. Voloschuk A.V., Luchko M.I. Modelirovanie raboty transportno-tehnologicheskogo kompleksa dobyvayuschego predpriyatiya v logisticheskoy cepochke proizvodstva // Nauchno-tehnicheskoe i ekonomicheskoe sotrudnichestvo stran ATR v XXI veke. 2016. T. 1. S. 148-154.
6. Galiev Zh.K., Galieva N.V. Teoreticheskie aspekty menedzhmenta na gornodobyvayuschih predpriyatiyah // Gornyy informacionno-analiticheskiy byulleten' (nauchno-tehnicheskiy zhurnal). 2015. № 9. S. 227-231.
7. Oficial'nyy sayt Federal'noy Nalogovoy Sluzhby. [Elektronnyy resurs]. URL: https://www.nalog.ru (data obrascheniya: 17.05.2021).
8. Oficial'nyy sayt Federal'noy sluzhby gosudarstvennoy statistiki [Elektronnyy resurs]. URL: http://www.gks.ru (data obrascheniya: 17.05.2021).
9. Procenko A.V., Agafonov V.V. Analiz effektivnosti planirovaniya proizvodstva na osnove pokazateley sebestoimosti // Izvestiya Tul'skogo gosudarstvennogo universiteta. Nauki o Zemle. 2019. № 1. S. 327-335.
10. Sorvina O.V. Povyshenie effektivnosti upravleniya proizvodstvennymi zatratami na osnove sovershenstvovaniya processa obespecheniya predpriyatiya material'nymi resursami // Finansy i kredit. 2013. № 32 (560). S. 64-75.
11. Sorvina O.V. Realizaciya metodologicheskogo principa sbalansirovannosti v strategicheskom upravlenii proizvodstvennymi zatratami // Izvestiya Tul'skogo gosudarstvennogo universiteta. Ekonomicheskie i yuridicheskie nauki. 2014. № 4-1. S. 364-373.
12. Fokina M.S. Rezul'taty matematicheskogo modelirovaniya deyatel'nosti gornodobyvayuschego predpriyatiya // Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya: Ekonomika i menedzhment. 2016. T. 10. № 2. S. 84-92.
13. Shimshirt N.D. Sovremennaya teoriya i praktika finansovogo menedzhmenta na predpriyatii. Tomsk: Izd-vo Tomskogo un-ta, 2011. 348 s.
14. Tyurin A., Stoianov A. Improving the mining enterprise productivity based on probabilistic nature of the solid minerals extraction and transportation // V sbornike: E3S Web of Conferences. 14. Ser. "14th International Innovative Mining Symposium, IIMS 2019" 2019. S. 01038.
15. Zelinska S. Machine learning: technologies and potential application at mining companies // V sbornike: E3S Web of Conferences. International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters, ICSF 2020. 2020. S. 03007.