scholarly journals Model of Process Management System in Enterprises of the Hard Coal Mining Industry

2020 ◽  
Vol 28 (2) ◽  
pp. 112-120
Author(s):  
Jolanta Bijańska ◽  
Krzysztof Wodarski

AbstractThe primary objective of this paper is to present a model of a process management system developed to support the restructuring of Polish enterprises of the hard coal mining industry. The development of this model required research in three stages using several research methods. The stage I of the research was oriented towards the recognition of the existing state of knowledge in the scope of previously developed models of process management in enterprises. At this stage, a method of reviewing the literature, the analysis and synthesis of the results of considerations, was used. The stage II was oriented towards presenting of the current state of knowledge in the field of process management to the managerial staff of mines in order to identify their needs, capabilities and preferences. The research were attended by 24 managers from PGG SA and JSW SA. At this stage, the method of targeted free-form interview and discussions, was used. The stage III of the research was oriented towards the development of a process management system model in enterprises operating in the hard coal mining industry, based on the scientific achievements to date in the field of process management and consensus on the needs, preferences and capabilities of mine managerial staff with regard to its specific elements. At this stage, the method of analysis and synthesis was used. The results of the research presented in this publication are primarily addressed to the managerial staff of polish hard mines, as they provide a synthesized response to the problem of the lack of consistent process management guidelines that could set a standard within a mining enterprise. The model presented in the publication is of a general nature, although it may provide a basis for the application of process management for mines.

2017 ◽  
Vol 62 (3) ◽  
pp. 545-564
Author(s):  
Michał Kopacz

AbstractThe paper attempts to assess the impact of variability of selected geological (deposit) parameters on the value and risks of projects in the hard coal mining industry. The study was based on simulated discounted cash flow analysis, while the results were verified for three existing bituminous coal seams.The Monte Carlo simulation was based on nonparametric bootstrap method, while correlations between individual deposit parameters were replicated with use of an empirical copula. The calculations take into account the uncertainty towards the parameters of empirical distributions of the deposit variables. The Net Present Value (NPV) and the Internal Rate of Return (IRR) were selected as the main measures of value and risk, respectively.The impact of volatility and correlation of deposit parameters were analyzed in two aspects, by identifying the overall effect of the correlated variability of the parameters and the indywidual impact of the correlation on the NPV and IRR. For this purpose, a differential approach, allowing determining the value of the possible errors in calculation of these measures in numerical terms, has been used.Based on the study it can be concluded that the mean value of the overall effect of the variability does not exceed 11.8% of NPV and 2.4 percentage points of IRR. Neglecting the correlations results in overestimating the NPV and the IRR by up to 4.4%, and 0.4 percentage point respectively. It should be noted, however, that the differences in NPV and IRR values can vary significantly, while their interpretation depends on the likelihood of implementation.Generalizing the obtained results, based on the average values, the maximum value of the risk premium in the given calculation conditions of the „X“ deposit, and the correspondingly large datasets (greater than 2500), should not be higher than 2.4 percentage points. The impact of the analyzed geological parameters on the NPV and IRR depends primarily on their co-existence, which can be measured by the strength of correlation. In the analyzed case, the correlations result in limiting the range of variation of the geological parameters and economics results (the empirical copula reduces the NPV and IRR in probabilistic approach). However, this is due to the adjustment of the calculation under conditions similar to those prevailing in the deposit.


Equilibrium ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. 69
Author(s):  
Izabela Jonek-Kowalska

The hard coal mining industry in the European Union (EU) is in decline, mostly due to a lack of price competitiveness. It is maintained, to a great extent, by state aid; the key objective of the industry’s existence is to provide energy security and guarantee employment in the mining regions. In Poland, the hard coal mining industry is currently undergoing a serious crisis that threatens the two largest mining enterprises with bankruptcy. In addition, due to the European Union’s restrictions concerning the circumstances of granting state aid, these enterprises cannot count on the financial support for the repair restructuring that they used on a large scale until 2011. Therefore, in this article, the main objective is to determine the influence of state aid on the competitiveness of the hard coal mining industry in 12 countries of the EU, including Poland in specific.  In order to achieve the stated objective, the article is divided into three parts. The first part consists of a literature review, and legal regulations that are related to state aid for the hard coal mining industry in the EU are presented. The second part identifies the amount of state aid for the mining industry in the examined countries. Next, the economic effects of state aid for hard coal mining in the European Union are examined. The third assesses the financial results of 24 Polish hard coal mines.


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