Warianty tytułu
Języki publikacji
Abstrakty
Polish energy security is based mainly on a coal. Such dependency will be still maintained for several years. It is therefore necessary to improve the economic situation of polish mining companies. The mining companies in Poland are operating under tremendous uncertainty of turbulent environment. The article presents used by the authors methods to facilitate the creation and selection of optimal production strategy. These are scenario planning, forecasting and linear programming, which allow the simulation of company operations in the future. The authors suggest the most successful and optimal forecasting models for the Polish mining industry, as well as factors affecting the demand for hard coal in Poland. The manuscript presents also possible to apply coal production strategies and the method of evaluation and selection of optimal strategy in the difficult conditions of Polish mining companies environment. This makes it possible to take a decision burdened with minor errors and less risk. (original abstract)
Rocznik
Tom
Strony
483--489
Opis fizyczny
Twórcy
autor
- Silesian University of Technology, Poland
autor
- Silesian University of Technology, Poland
Bibliografia
- Anwar, S., Sun, S., Valadkhani, A. (2013). International outsourcing of skill intensive tasks and wage inequality. Economic Modelling 31, pp. 590-597. http://dx.doi.org/10.1016/j.econmod.2012.12.027.
- Bluszcz, A. (2017). European economies in terms of energy dependence. Qual Quan. 4. doi:10.1007/s11135-016-0350-1.
- Chaharsooghi, K .; Rezaei, M.; Alipour, M. (2015). Iran's energy scenarios on a 20-year vision. Int J Environ Sci Technol 12, pp. 3701-3718.
- Chakravarthy, B. (1997). A New Strategy Framework for Coping with Turbulence. Sloan Management Review 38(2), pp. 69-82.
- Cieślak, M. (2001). Prognozowanie gospodarcze: metody i zastosowanie. Warszawa: Wydawnictwo Naukowe PWN.
- Diettman, P. (2008). Prognozowanie w przedsiębiorstwie. Kraków: Oficyna a Wolters Kluwer business.
- Farnum, N.R; Stanton, W. (1989). Quantitative Forecasting Methods. Boston: PWS-Kent Publishing Company.
- Freytag, P. V.; Clarke, A. H.; Evald, M. R. (2012). Reconsidering outsourcing solutions. European Management Journal 30, pp. 99- 110.
- Grudkowska, S.; Nehrebecka, N. (2009). Materiały i studia z. 237. Warszawa: Wydawnictwo NBP.
- Hejden K., (2000). Planowanie scenariuszowe w zarządzaniu strategicznym. Kraków: Oficyna Ekonomiczna Oddział PWP.
- Jonek-Kowalska, I. (2015). Challenges for long-term industry restructuring in the Upper Silesian Coal Basin: What has Polish coal mining achieved and failed from a twenty-year perspective? Resources Policy 44, pp.135-149.
- Mohr, S. H.; Evans, G.M. (2009). Forecasting coal production until 2100. Fuel 88, pp. 2059-2067. http://dx.doi.org/10.1016/j.fuel.2009.01.032.
- O'Neill, H. M. (2009). Turnaround and recovery: What strategy do you need? Long Range Planning 19, pp. 80-88 .
- Program Origin.7 support.
- Przybyła, H.; Rybak A. (2007). Wykorzystanie funkcji logistycznych do prognozowania zmian wyników produkcyjnych górnictwa węgla kamiennego. Moderní matematické metody v inženýrství (3m). VŠB, Technical University in Ostrava Czech Republic.
- Rybak, A. (2011). Analiza i ocena możliwych strategii produkcji węgla kamiennego dla zaspokojenia sezonowych potrzeb odbiorców (Analysis and evaluation of possible coal production strategies to meet the seasonal customer demand), Doctoral thesis, Silesian University of Technology Gliwice.
- Rybak, A.; Rybak, A. (2016). Possible strategies for hard coal mining in Poland as a result of production function analysis. Resources Policy 50, pp. 27-33.
- Sierpińska-Sawicz, A.; Bąk, P. B. (2016). Costs of corporate bond issue in coal mining companies. Contemporary Economics 10(2), pp. 99-112.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171599265
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