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The paper proposes a new approach to the distribution of investments in a group of coal mining enterprises. For the first time, the model for assessing the production efficiency of enterprises as a derivative of the level of resources attracted to the number of products, with the main criterion being the efficiency of reserves extraction, is suggested. The study of changes in reserves (in this case, a coal) over time allows us to predict the technical and economic indicators of the enterprise in the long term. The work solves an urgent scientific and practical task, which is to study the impact of investments on the increase in productivity of coal mines. The authors suggest applying the criterion of «economic reliability» to solve the problem of redistributing funds between enterprises engaged in the extraction of identical products. Based on the assessment of economic reliability, a general conclusion is drawn on how much investment should be attracted to increase production, and all enterprises are considered. The practical value of the research is to establish the dependence of the level of production growth on attracted investments for enterprises with different levels of economic reliability. It has been established that the most effective option for transforming the mines of the coal-mining region is to compensate for a possible decrease in production volumes, their necessary increase due to the additional load of effective existing mines and, as a rule, with lower capital costs. All this confirms the high feasibility of creating reliable methods for ranking mines. The calculations of the optimal values of the mine capacity indicate the potential capabilities of the mines of the State Coal Company (SCC), which are provided with significant reserves and have a fairly high level of economic reliability. Using a dynamic approach to choosing the parameters of the mine transformation to break-even mode can reduce the costs of the enterprise and ensure its sustainable development by the timely implementation of new investment projects taking into account the optimal effective life of the mine.

An important factor in the development and retention of the region is availability of energy resources on its territory. They facilitate the development and maintenance of military infrastructure, it enables the effective development of transport and industry. The article examines the experience of using coal mines of Sakhalin Island to supply the Siberian Flotilla and the creation of the Sakhalin Society, which was supposed to solve the energy, economic and demographic problems of the region. The author analyzes the reasons for the failure of the Russian administration’s attempts to use Sakhalin’s coal deposits as an alternative to buying coal in foreign countries

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In the article on the basis of the analysis of practice of coal mining enterprises urgency of improving the concordance persona. In particular, it is shown that the disagreement of the staff is a system limitation of the company’s development. The paper also describes the case of using this tool to improve the concordance of staff as educational certification, and also identifies the cyclical nature of its application. The author’s proposed approach is tested on a number of coal mines in conducting developmental assessments.

The relevance of the research is caused by the need to study the specific character of coal producer dust input effect on pollution of adjacent urban territories. The main aim of the research is to evaluate the dust load level using the computational and experimental techniques in the area of coal producer effect by snow cover survey data. Objects of the research are snow samples taken by the square scheme in the town area and by the vector scheme in directions from the town to coal enterprises. Methods: atmogeochemical, calculation using the model of long-term particle fallout from atmosphere to the surface. Results. Regions with maximum values of dust load are in the area of open cut (459 mg/m2·day) and mine (422 mg/m2·day), by the gradation these values correspond to high level of pollution. High values of dust load (200-245 mg/m2·day) within the limits of the town correspond to location of coal boiler houses with open storage. On the outskirts of central and eastern parts of the town the dust load is additionally formed due to the dust wind transfer from closely located coal plants. The studied areas form the range by the decrease of mean value of dust load level: the south-west direction from town to open-cut coal mine (260±45 mg/m2·day) > the north-east direction from town to coal mine (153±71 mg/m2·day) > the eastern part of the town (131±12 mg/m2·day) > the western part of the town (128±17 mg/m2·day) > the south-west direction from town to tourist camp (30±1 mg/m2·day). Excess ratio of ambient dust load amounts to 24,8; 14,6; 12,5; 12,2; 2,9, respectively, at the studied areas. A part of industrial particles, including coal dust, soot, slags, aluminosilicate micro-spherule, fibers, is maximum in the territory, adjacent to the open-cut coal mine (85 %) and coal mine (88 %), and it is lower within the limits of the town (76-79 %). Content of coal particles, prevailing in all studied samples, changes from 20-23 % in the town to 44-82 % near the coal mine and open-cut coal mine; coal dust input in this case is considerably lower at underground mining than at open-cut coal mine. In the town a part of the particles, distinguishing coal burning (carbon coal), amounts to 33-36 %. The authors have compared the calculated coal dust values with those determined by the experiment. The well-significant correlation ratios for western and eastern parts of the town, the area of open-cut coal mine and tourist camp amounted to 0,66 (11 samples); 0,83 (21 samples); 0,73 (9 samples); 0,76 (6 samples) respectively. The model of the long-term fallout reflects rather well the change in quantitative precipitation indices in the studied territories. The results of modeling may be further used to assess chronic inhalation risks for population health, based on average annual concentrations.

Introduction. There are different studies devoted to accidents in coal mines forecasting. They are concerning the prediction of human injuries, fires, obstructions etc. But in terms of restructuring and reformation of Ukraine's coal industry, the issue of the level of accidents reducing is still actual, so development of new approaches for their prevention remains relevant. Purpose. Analyzing existing mathematical models and approaches to forecasting of emergency situations in coal mines and executing their transformation into economic-mathematical form to extend them by economic factors. Methods. Analysis of mathematical approaches used in accidents at coal mines predicting. A common group of factors used in the calculation of each model highlighting. Considering of possibility of the introduction of one or another model of economic factors, such as the overall financial performance of the mine, and the amounts allocated for security measures and retraining. In addition, where possible, modeling the above economic indicators, completing their transformation and presenting in a new economic-mathematical form. Results. You can not underestimate the impact of the financial and economic indicators at the level of accidents. Constants commonly used in the construction of predictive models are only the factors of natural and man-made disasters, but the application of economic factors leads to improvement of existing methods and approaches to determining the probability of occurrence of accidents in mines which has been shown in this paper. Conclusion. The practical significance of the paper is to study the relationship between economic component of the mine, and the number and severity of accidents occurring. That will raise prediction accuracy in determining the probability of accidents in coal mines. The authors initiate further research towards the development and improvement of existing methods and approaches to forecasting the level of accidents at the mine through the expansion of mathematical models of economic factors. [ABSTRACT FROM AUTHOR]