The aim of the article is to present the selected results of analytical investigations concerning
possible directions of reducing the unit production costs in the mining company together with some
results of practical calculations. The investigations emphasize the role of the rate of utilising the
production capacity leading to reducing the unit production costs. The main component having an
essential influence on the unit production costs are the fixed unit costs. Two basic indices of a crucial
meaning for searching for possibilities leading to decreasing the unit production costs are assumed.
The first index (w1) is a measure of the rate of utilising the production capacity, the second one (w2)
concerns the fixed costs coincided with the unit of the production capacity. Theoretical considerations
concerning the mathematical modelling of the unit production costs as the values depending on the
rate of utilising the production capacity and the fixed costs coincided with the production capacity
unit, are presented in the first part of the paper. The rationalisation criteria of the mine unit production
costs are formulated. These criteria can constitute the elements of restructuring program for the mining
company. The calculation example with the use of the practical input data shows the impact of the
rate of utilising the production capacity on the mine unit production costs. In the example two variants
of annual working time are taken into account. Results of appropriate calculations are presented and
analysed in an aspect of reducing unit costs of production as a result of increasing rate of utilising the
mine production capacity.
The subject of the research presented in this paper were financial results of mining industry enterprises (PKD 5 – P olish C lassification of A ctivity – “Mining of coal and lignite”) in 2007–2019. The research was conducted using relative and absolute financial measures, forming an extensive and coherent set of features characterizing their financial condition. The purpose was to measure and evaluate the efficiency of examined enterprises operation, considered as an attribute of development as well as factors describing and determining it. This evaluation was made against the background of ongoing restructuring processes taking into account their potential effects.
The article presents the course of the process of adapting P olish hard coal mining to market economy conditions after 1989. The process can be conventionally divided into several periods. The scope and intensity of changes in the mining industry followed the subsequent government programs for mining industry restructuring.
The lignite mining has not implemented any specific restructuring programs. The remedy processes were mainly related to organizational and ownership changes.
In relation to operation efficiency and value creation three turning points in the development path of enterprises were highlighted – 2011, 2015 and 2017, while the period of strong deterioration of results occurred in 2011–2015. I t was proved that restructuring processes did not affect the operating return on sales. However, there was a strong relation between changes in economic conditions on the coal market (prices) and the accumulation rate.
Geodesic measurements of mining area deformations indicate that their description fails to be regular,
as opposed to what the predictions based on the relationships of the geometric-integral theory suggest.
The Knothe theory, most commonly applied in that case, considers such parameters as the exploitation
coefficient a and the angle of the main influences range tgβ, describing the geomechanical properties of the
medium, as well as the mining conditions. The study shows that the values of the parameters a = 0.8 and
tgβ = 2.0, most commonly adopted for the prediction of surface deformation, are not entirely adequate in
describing each and every mining situation in the analysed rock mass. Therefore, the paper aims to propose
methodology for determining the value of exploitation coefficient a, which allows to predict the values
of surface subsidence caused by underground coal mining with roof caving, depending on geological and
mining conditions. The characteristics of the analysed areas show that the following factors affect surface
subsidence: thickness of overburden, type of overburden strata, type of Carboniferous strata, rock mass
disturbance and depth of exploitation. These factors may allow to determine the exploitation coefficient a,
used in the Knothe theory for surface deformation prediction.
The paper analyzes the impact of potential changes in the price relation between domestic and imported coal and its influence on the volume of coal imported to Poland. The study is carried out with the application of a computable model of the Polish energy system. The model reflects fundamental relations between coal suppliers (domestic coal mines, importers) and key coal consumers (power plants, combined heat and power plants, heat plants, industrial power plants). The model is run under thirteen scenarios, differentiated by the ratio of the imported coal price versus the domestic coal price for 2020–2030. The results of the scenario in which the prices of imported and domestic coal, expressed in PLN/GJ, are equal, indicate that the volume of supplies of imported coal is in the range of 8.3–11.5 million Mg (depending on the year). In the case of an increase in prices of imported coal with respect to the domestic one, supplies of imported coal are at the level of 0.4–4.1 million Mg (depending on the year). With a decrease in the price of imported coal, there is a gradual increase in the supply of coal imports. For the scenario in which a 30% lower imported coal price is assumed, the level of imported coal almost doubles (180%), while the supply from domestic mines is reduced by around 28%, when compared to the levels observed in the reference scenario. The obtained results also allow for the development of an analysis of the range of coal imports depending on domestic versus imported coal price relations in the form of cartograms.
Badanie możliwości rozwojowych należy do podstawowych kwestii strategicznych, z którymi muszą zmierzyć się kopalnie węgla kamiennego. Jest to szczególnie trudne w obecnych warunkach, zdeterminowanych ich sytuacją kryzysową. W takich warunkach konieczne jest podjęcie trudnych decyzji i poważnych strategicznych wyzwań, które pozwolą na pokonanie kryzysu, odnowę i efektywne ekonomicznie funkcjonowanie w przyszłości tych kopalń, które mają potencjał rozwojowy, a także na wygaszanie kopalń, które tego potencjału nie mają. Ze względu na skutki decyzji, które dotyczą nie tylko kopalń węgla kamiennego, ale także regionu Śląska, ważne znaczenie ma przygotowanie informacji, które będą je wspomagały i doprowadzą do racjonalnych wyborów, co wiąże się z problematyką badania możliwości rozwojowych. W publikacji przedstawiono rozważania w zakresie problematyki badania możliwości rozwojowych kopalń węgla kamiennego w sytuacji kryzysowej. W świetle wyników studium literatury określono model procesu badawczego oraz wskazano problemy badawcze, które dotyczą:
- identyfikacji czynników zewnętrznych, które determinują możliwości rozwojowe polskich kopalń węgla kamiennego i opracowania scenariuszy ich zmian w przyszłości,
- identyfikacji czynników wewnętrznych polskich kopalń węgla kamiennego, które determinują ich możliwości rozwojowe,
- opracowania sposobu dokonania oceny potencjału rozwojowego kopalń węgla kamiennego dla wskazania odpowiednich opcji strategicznych, a także programów działań dla wdrożenia tych opcji,
- określenia możliwych opcji strategicznych i odpowiadających im wariantów programów działań, dostosowanych do specyfiki kopalń węgla kamiennego.
Propozycje rozwiązania wskazanych problemów, uzyskane w toku zastosowania określonych metod i narzędzi badawczych, pozwoliły na przedstawienie wytycznych w zakresie badania możliwości rozwojowych kopalń węgla kamiennego.
Petřvald is a typical mining town in the Czech part of the Upper Silesian Basin. Since the Petřvald sub-basin is limited by significant tectonic structures, its development was to a great extent independent from other areas of the basin and can serve as an example of the influence of the geological structure on the development of mining and residential communities. In the first phase of mining development (ca 1830 to 1844) first claims begin to occur in the area. Thick coal seams were available in shallow depths. Due to missing railway connection, the demand for coal was not very large and the village economy was focused on agriculture. In the second phase (1844 to 1871), the first underground mines start to operate in the area. They were situated in favorable areas with thin overburden. Also, the connection to the railway improved the sale opportunities and a significant share of the local population worked in the mines. The third phase of mining (1871 to 1963) brought still increasing demand for coal, which resulted in establishing new coal mines in geologically less favorable areas (thicker overburden, water-bearing horizons). From the 1930s to the end of the 1950s the extraction peaked, which coincided with the urbanistic and cultural climax. New housing was provided for miners and their families by the companies. The final stage of mining development (1963 to 1998) is connected with the steady decline of production and phase-out of mining. The reason was a lack of economically recoverable coal reserves connected to unfavorable geological conditions. We conclude that the results of studies concerning specific geological parameters of coal deposits can be used for more detailed analyses regarding the development of urbanism, or to explain its causes.
There was done an inventarization of 41 coal mining dumping grounds, gathering waste material from 27 mines. Considering the fact, that five mines belong to multi-motion plants the research comprised 32 hard coal deposits. Source data with localization of particular dumps have been obtained from archival materials from the mines and municipalities, in the boundaries where the dumps occur as well as free accessible published materials (books, scientific papers). The data have been verified, in the beginning on the basis of topographical maps, orthophotomaps and aerial photographs and then, after vision done during field works they have been drawn on the topographic base, what resulted in creating the map of post-mining dumping grounds. Valorisation of coal mining waste dumps, using already repeatedly presented method, included defining of: name of the dump, coal mine from where the wastes come from, state of the dump, surface of the dump, type of technical and biological reclamation, accessibility of the object, possibilities of recovery of coal and the results have been drawn on the map. On the basis of collected and elaborated data there was done an attempt of defining of potential possibilities of recovery of coal from the dumps and connecting of coal quality in exploited deposits and coal content in waste material. The results showed that in spite of initial information that the majority of the dumps comprise potential objects of coal recovery of coal from waste material, eventually only in some cases (thirteen objects) the recovery seems to be economically justified.
The article presents the methodology for assessing the longevity of hard coal mines. Based on international experts’ assessments, important criteria for determining mine viability have been presented. The results refer to Polish coal mines in the area of the Upper Silesian Coal Basin, however, the methodology itself can be applied to other geological and mining conditions of mines elsewhere.
The results of structural analyses carried out using the MICMAC method for factors related to the mining geo-environment that may determine the longevity of individual hard coal mines are presented. The analyses were based on the results of expert surveys carried out using the Delphi method. The experts participating in the survey came from various countries and had extensive experience related to work or cooperation with hard coal mining. The criterion factors examined were assigned to two systems (groups) for which structural analysis was performed. The first group includes factors related to the level of exploitation hampering, while the second group includes factors related to hard coal quality and the availability of resources. As a result of the analyses the following were determined: the key factors which have the most significant influence on the system, result and goal factors, factors affecting the system and autonomous factors which have little effect on the system.
The obtained results allowed to determine which factors should be taken into account in the process of determining the longevity of a hard coal mine.
The role of the hard coal mining sector in ensuring energy security of the country has been presented in the paper. An analysis of its current status was made based on the results obtained by the sector in 2017. Moreover, the determinants which are the precondition for further sustainable and efficient operation in the years to come have been defined.
The paper investigates the competitiveness of the Polish hard coal mining sector as a fuel source for heat and power generation. The main objective of the study is to make a quantitative assessment of the impact of the price relationship between domestic and imported steam coal on the consumption of domestic fine coal in the Polish heat and power generation sector. For this purpose, a long-term mathematical model of the Polish steam coal market is employed and scenarios that mimic the relationship between domestic and imported steam coal prices is developed. The following results are analysed:
- the volume of total domestic steam coal consumption under the scenarios analysed,
- the absolute difference in domestic steam coal consumption under the scenarios analysed in comparison with the scenario 0%,
- the total imported and domestic steam coal consumption in the period analysed.
In addition, the results were depicted in cartograms in order to present the distribution of domestic and imported coal consumption in the various regions of Poland.
The results of the study indicate that the supply of steam coal in Poland can be completely covered by domestic mines when the price of domestic coal is from –40% to –20% lower than that of imported coal. For the remaining scenarios, the consumption of imported coal increases and reaches its highest value in the scenario +40%, in which imported coal covered of 71% of total steam coal consumption in Poland over the period.
The conclusions presented in this paper provide valuable findings and policy insights into the competitiveness of domestic mines and management of domestic production both in Poland and other countries in which power generation systems are mostly dominated by coal.
The new legislative provisions, regulating the solid fuel trade in Poland, and the resolutions of
provincial assemblies assume, inter alia, a ban on the household use of lignite fuels and solid fuels
produced with its use; this also applies to coal sludge, coal flotation concentrates, and mixtures
produced with their use. These changes will force the producers of these materials to find new
ways and methods of their development, including their modification (mixing with other products
or waste) in order to increase their attractiveness for the commercial power industry. The presented
paper focuses on the analysis of coal sludge, classified as waste (codes 01 04 12 and 01 04 81)
or as a by-product in the production of coals of different types. A preliminary analysis aimed at
presenting changes in quality parameters and based on the mixtures of hard coal sludge (PG SILESIA)
with coal dusts from lignite (pulverized lignite) (LEAG) has been carried out. The analysis
of quality parameters of the discussed mixtures included the determination of the calorific value,
ash content, volatile matter content, moisture content, heavy metal content (Cd, Tl, Hg, Sb, As, Pb,
Cr, Co, Cu, Mn, Ni, and W), and sulfur content. The preliminary analysis has shown that mixing
coal sludge with coal dust from lignite and their granulation allows a product with the desired quality
and physical parameters to be obtained, which is attractive to the commercial power industry.
Compared to coal sludge, granulates made of coal sludge and coal dust from lignite with or without
ground dolomite have a higher sulfur content (in the range of 1–1.4%). However, this is still an
acceptable content for solid fuels in the commercial power industry. Compared to the basic coal
sludge sample, the observed increase in the content of individual toxic components in the mixture
samples is small and it therefore can be concluded that the addition of coal dust from lignite or carbonates
has no significant effect on the total content of the individual elements. The calorific value
is a key parameter determining the usefulness in the power industry. The size of this parameter for
coal sludge in an as received basis is in the range of 9.4–10.6 MJ/kg. In the case of the examined
mixtures of coal sludge with coal dust from lignite, the calorific value significantly increases to
the range of 14.0–14.5 MJ/kg (as received). The obtained values increase the usefulness in the
commercial power industry while, at the same time, the requirements for the combustion of solid
fuels are met to a greater extent. A slight decrease in the calorific value is observed in the case of
granulation with the addition of CaO or carbonates. Taking the analyzed parameters into account,
it can be concluded that the prepared mixtures can be used in the combustion in units with flue gas
desulfurization plants and a nominal thermal power not less than 1 MW. At this stage of work no
cost analysis was carried out.
This article presents the use of a multi-criterion Analytic Hierarchy Process (AHP) method to assess
geological and mining condition nuisance in longwall mining operations in selected coal mines in Poland.
For this purpose, a methodology has been developed which was used to calculate the operational nuisance
indicator (WUe) in relation to the cost of mining coal in individual longwalls. Components of the aggregate
operational nuisance indicator include four sub-indicators: the natural hazards indicator (UZN), an
indicator describing the seam parameters (UPZ), an indicator describing the technical parameters (UT)
and an environmental impact indicator (UŚ). In total, the impact of 28 different criteria, which formed
particular components of the nuisance indicators were analysed. In total 471 longwalls in 11 coal mines
were analysed, including 277 longwalls that were mined in the period of 2011 to 2016 and 194 longwalls
scheduled for exploitation in the years 2017 to 2021.
Correlation analysis was used to evaluate the relationships between nuisance and the operating costs
of longwalls. The analysis revealed a strong correlation between the level of nuisance and the operating
costs of the longwalls under study. The design of the longwall schedule should therefore also take into
account the nuisance arising from the geological and mining conditions of the operations. Selective
operations management allows for the optimization of costs for mining in underground mines using the
longwall system. This knowledge can also be used to reduce the total operating costs of mines as a result
of abandoning the mining operations in entire longwalls or portions of longwalls that may be permanently
unprofitable. Currently, underground mines do not employ this optimization method, which even more
emphasizes the need for popularizing this approach.
Wprowadzane nowe przepisy legislacyjne, regulujące w naszym kraju obrót paliwami stałymi, zwracają uwagę na konieczność rozwijania i doskonalenia sposobów i metod zagospodarowania mułów węglowych z węgla kamiennego. Celem pracy było wykazanie, czy parametry filtracyjne (głównie współczynnik filtracji) mułów węglowych są wystarczające do budowy warstw izolujących na składowiskach na etapie ich zamykania i jakie jest zapotrzebowanie na materiał w przypadku takiego postępowania. Analizę przeprowadzono dla składowisk odpadów komunalnych na obszarze województw opolskiego, śląskiego i małopolskiego. Dla mułów węglowych z górnictwa węgla kamiennego wartości współczynnika filtracji mieszczą się w zakresie 10–8‒10–11 m/s, przy średniej wartości 3,16 × 10–9 m/s. Można wnioskować, że materiał ten spełnia zasadniczo kryteria szczelności dla przepływów poziomych i często też pionowych. Przy zagęszczaniu, wzrastającym obciążeniu czy mieszaniu z popiołami lotnymi ze spalania węgla kamiennego oraz iłami osiągany współczynnik filtracji często obniża swoje wartości. Na podstawie przeprowadzonej analizy można sądzić, że muły węglowe mogą zostać wykorzystane do budowy mineralnych barier izolujących. Na koniec roku 2016 na obszarze województw opolskiego, śląskiego i małopolskiego czynnych było 50 składowisk odpadów komunalnych. Jedynie 36 z nich uzyskało status instalacji regionalnej, blisko 1/3 obiektów znajduje się w zasięgu Głównych Zbiorników Wód Podziemnych (GZWP). Pozostałe składowiska zostaną przeznaczone do zamknięcia. Zakładając konieczność zamknięcia wszystkich czynnych obecnie składowisk odpadów komunalnych, zapotrzebowanie na muły węglowe wynosi ogółem 1 779 000 m3, co przy przyjętych założeniach daje masę 2 704 080 Mg. Całkowita ilość wytwarzania mułów węglowych jest w Polsce bardzo duża. Tylko dwie podstawowe grupy górnicze wytwarzają rocznie łącznie około 1 500 000 Mg mułów węglowych. Budowa warstw izolujących na składowiskach odpadów obojętnych, niebezpiecznych oraz innych niż niebezpieczne i obojętne jest interesującym rozwiązaniem. Takie zastosowanie jest perspektywiczne, ale nie rozwiąże całościowo problemu związanego z wytwarzaniem i zagospodarowaniem tego materiału odpadowego. Istotne jest poszukiwanie kolejnych rozwiązań.
W trakcie procesów wzbogacania węgla w zakładach przeróbki mechanicznej kopalń węgla kamiennego powstają znaczne ilości mułów węglowych (grupa odpadów 01). Są to najdrobniejsze frakcje ziarnowe poniżej 1 mm, w których ziarna poniżej 0,035 mm stanowią do 60% ich składu, a ciepło spalania kształtuje się na poziomie 10 MJ/kg. Charakterystyczną cechą mułów jest ich duża wilgotność, która po procesie odwodnienia na prasach filtracyjnych osiąga wartość od 16–28% (Wtot r) (materiały archiwalne PG SILESIA). Drobnoziarnistość i wysoka wilgotność materiału powodują duże trudności na etapie transportu, załadunku i wyładunku materiału. W pracy przedstawiono wyniki badań grudkowania (granulowania) mułów węglowych samodzielnie oraz grudkowania mułów węglowych z materiałem dodatkowym, który ma za zadanie poprawić właściwości energetyczne mułów. Sam proces grudkowania ma przede wszystkim poprawić możliwości transportowe. Podjęto wstępne badania pozwalające na wykazanie zmian parametrów poprzez sporządzanie mieszanek mułów węglowych (PG SILESIA) z pyłami węglowymi z węgla brunatnego (LEAG). Przeprowadzono proces grudkowania mułów oraz ich mieszanek na laboratoryjnym grudkowniku wibracyjnym konstrukcji AGH. W wyniku przeprowadzonych badań można stwierdzić, że wszystkie mieszanki są podatne na proces grudkowania (granulowania). Proces ten poszerza niewątpliwie możliwości transportowe materiału. Skład ziarnowy uzyskanego materiału po grudkowaniu jest zadawalający. Grudki o wymiarze 2–20 mm stanowią 90–95% masy produktu. Wytrzymałość (odporność) na zrzuty grudek świeżych jest zadawalająca i porównywalna dla wszystkich mieszanek. Świeże grudki poddane próbie na zrzuty z wysokości 700 mm wytrzymują od 7 do 14 zrzutów. Odporność na zrzuty grudek materiału po dłuższym sezonowaniu, z wysokości 500 mm wykazuje wartości odmienne dla analizowanych próbek. Wartości uzyskane dla mułów węglowych oraz ich mieszanek z pyłami węglowymi z węgla brunatnego kształtują się na poziomie 4–5 zrzutów. Uzyskana wytrzymałość jest wystarczająca dla stwierdzenia możliwości ich transportu. Na tym etapie pracy można stwierdzić, że dodatek pyłów węglowych z węgla brunatnego nie powoduje pogorszenia wytrzymałości materiału w odniesieniu do czystych mułów węglowych. Nie ma zatem negatywnego wpływu na możliwości transportu materiału zgranulowanego. W wyniku mieszania z pyłami węglowymi można natomiast podnieść ich wartość energetyczną (Klojzy-Karczmarczyk i in. 2018). Nie prowadzono analizy kosztowej analizowanego przedsięwzięcia.
Artykuł przedstawia zastosowanie Metody Hierarchicznej Analizy Problemu AHP (ang. Analytic Hierarchy Process) do oceny i wyboru najlepszego wariantu związanego z możliwością pozyskania węgla kamiennego na cele energetyczne przez potencjalnego Inwestora funkcjonującego w sektorze górniczo-energetycznym. Analizie poddano 6 różnych źródeł pozyskania węgla, z których każde powinno zapewnić bezpieczną i niezależną dostawę surowca do nowo budowanej elektrowni na węgiel kamienny. Przy wyborze najlepszego wariantu decyzyjnego uwzględniono pozytywne oraz negatywne oddziaływania wariantów, poprzez zastosowanie analizy BOCR: analiza korzyści - benefits (B), możliwości - opportunities (O), kosztów - costs (C) oraz ryzyka - risks (R). W tym celu zbudowano cztery niezależne modele hierarchiczne. Poszczególne modele charakteryzują się takimi samymi ocenianymi wariantami decyzyjnymi, natomiast różnią się kryteriami budującymi modele. W każdym z modeli zgodnie z zasadami metody AHP, obliczone zostały końcowe, globalne wagi dla ocenianych wariantów. Wskazanie najlepszego wariantu uzyskano dzięki zastosowaniu multiplikatywnej formuły (B ź O)/(C ź R), której wartość posłużyła do uszeregowania i wyboru najlepszego z ocenianych. Najlepszym wariantem decyzyjnym jest wariant, którego stosunek (BO) do (CR) jest najwyższy.
Because of the value of time, investors are interested in obtaining economic benefits rather early and at a highest return. But some investing opportunities, e.g. mineral projects, require from an investor to freeze their capital for several years. In exchange for this, they expect adequate remuneration for waiting, uncertainty and possible opportunities lost. This compensation is reflected in the level of interest rate they demand. Commonly used approach of project evaluation – the discounted cash flow analysis – uses this interest rate to determine present value of future cash flows. Mining investors should worry about project’s cash flows with greater assiduousness – especially about those arising in first years of the project lifetime. Having regard to the mining industry, this technique views a mineral deposit as complete production project where the base sources of uncertainty are future levels of economic-financial and technical parameters. Some of them are more risky than others – this paper tries to split apart and weigh their importance by the example of Polish hard coal projects at the feasibility study. The work has been performed with the sensitivity analysis of the internal rate of return. Calculations were made using the ‘bare bones’ assumption (on all the equity basis, constant money, after tax, flat price and constant operating costs), which creates a good reference and starting point for comparing other investment alternatives and for future investigations. The first part introduces with the discounting issue; in the following sections the paper presents data and methods used for spinning off risk components from the feasibility-stage discount rate and, in the end, some recommendations are presented.
This paper presents the situation of coal mining in Slovakia, focusing on the social-political aspects and environmental aspects of its sustainable development. In recent years, the mining of lignite and brown coal in Slovakia has been closely linked to the production of electricity and heat in the Novaky power plant. Domestic brown coal production covered more than three quarters of demand in the Slovak Republic in the last few years. The sustainability of coal mining in the coming years in Slovakia is closely associated with raw materials reserves, new mining technologies, the development of the Novaky power plant, and the government's commitments to national economic interests through securing the energy supply or state aid. Of course, of these factors must be considered in the context of international obligations, such as those related to climate and environment, particularly air protection.
The three most important Slovak brown coal deposits are located in the Upper Nitra Basin. This territory includes areas in the 5th and 4th degrees of environmental quality, signifying a disturbed and very disturbed environment. Since coal is expected to remain the dominant fuel for electricity generation araund the world, and in particular for many of the countries of Central and Eastern Europe, it is necessary to create conditions for the environmental sustainability of coal mining in the coming years within the context of international obligations. Both the security and the stability of the electricity network in Slovakia and maintaining employment levels in the Upper Nitra region play important roles in this discussion.
Underground coal gasification (UCG) is a newmining technology and a technology for gas recovery in situ.
A comprehensive evaluation of the impacts of underground coal gasification was carried out in addition to summarization of the expected impacts in terms of the significance and distribution of the time period.
Based on a comprehensive assessment of the proposed action, it can be stated that it could bring a socially unacceptable risk to the area, specifically the significant impairment of health or the environment (groundwater and nearby hot springs in Bojnice). The implementation of operations could affect the opulation's health, since the partition is placed in close proximity to residential areas.
The paper presents multi-criteria optimization method allowing for selection of the best production scenarios in underground coal mines. We discuss here the dilemma between strategies maximizing economic targets and rational resources depletion. Elaborated method combines different geological and mining parameters, structure of the deposit, mine’s infrastructure constrains with economic criteria such as the net present value (NP V), earnings before deducting interest and taxes (EBIT ) and the free cash flows to firm (FCFF). It refers to strategic production planning. Due to implementation of advanced IT software in underground coal mines (digital model, automated production scheduling) we were able to identify millions of scenarios finally reduced to a few – the best ones. The method was developed and tested using data from mine operation “X” (a real project – an example of a coking coal mine located in Poland). The reliability of the method was approved; we were able to identify multiple production scenarios better than the one chosen for implementation in the “X” mine. The final product of the method were rankings of scenarios grouped according to economic decision criteria. The best scenarios reached NP V nearly 50% higher than the Base Case, which held only 52. position out of 60. According to EBIT and FCFF criteria, 10 scenarios achieved results higher than the Base Case, but the percentage differences were very small, below 2 and 4%, respectively. The developed method is of practical importance and can be successfully applied to many other coal projects.