Forecasts of Size of Steel Production in Poland Until 2022

• Autorzy: Bożena Gajdzik
• Języki publikacji: EN

Abstrakty

EN

The article presents the results of forecasting the volume (size) of steel production in Poland based on selected adaptation models. The data used in forecasting were the annual size of steel production in the period from 2000 to 2017. Data on the size of steel production in Poland were obtained from reports of both the Polish Steel Association in Katowice (Poland) and the World Steel Association. The accuracy of predictions was determined by the values of real deviation of forecasted variable from forecasts (extinguished - ex post) using square root calculated from mean square error of apparent forecasts, ie RMSE - Root Mean Square Error and mean value of relative error of expired forecastsY. Forecasts can be used in making decisions in metallurgical enterprises for building production scenarios. (original abstract)

Słowa kluczowe

EN

Steel production; Economic forecast; Metallurgical industry

PL

Produkcja stali; Prognozy gospodarcze; Przemysł metalurgiczny

• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2018
• Tom: 1
• Strony: 499--505

Twórcy

autor

Bożena Gajdzik

• Silesian University of Technology, Poland

Bibliografia

• Armstrong, J.S. (Ed.) (2001).Principles of Forecasting - A Handbook for Researchers and Practitioners. Boston, MA, USA: Springer.
• Brown, R.G. (1963). Smoothing, Forecasting and Prediction of Discrete Time Series. Englewood Cliffs, NY, USA: Prentice Hall.
• Chermack, T.J., Lynham S.A. and Ruona, W. E. A. (2001). A Review of Scenario Planning Literature. Futures Research Quarterly, 17(2), pp. 7-31.
• Gajdzik, B., (2017). The Predictive Scenario Analysis in a Business Model: Variants of Possible Steel Production Trajectories and Efficiency in Poland. In: Jabłoński M., ed., Strategic Performance Management, New Concepts and Contermproray Trends, Chapter 15. Hauppauge, USA: Nova Science Publishers, Inc, pp. 235-252.
• Gajdzik, B. (2013a). The road of Polish steelworks towards market success - changes after restructuring process. Metalurgija,52(3), pp. 421-424.
• Gajdzik, B. (2013b). World Class Manufacturing in metallurgical enterprise. Metalurgija, 52(1), pp.131- 134.
• Gajdzik, B., Sroka, W. (2012). Analytic study of the capital restructuring process in metallurgical enterprises around the World and in Poland. Metalurgija, 2 (51), pp. 265-268.
• Krawiec, S. (2014). Adaptacyjne modele wygładzania wykładniczego jako instrumenty prognozowania krótkoterminowego zjawisk ilościowych. Gliwice, Poland: Wydawnictwo Politechniki Śląskiej, pp.12-104.
• Manikowski, A., Tarapata, Z. (2002). Prognozowanie i Symulacja Rozwoju Przedsiębiorstw. Warsaw, Poland: Druktur, p.70.
• Polish Steel Industry (Yearbook 2017). Katowice, Poland: Polish Steel Association, p. 2.
• Rue, L.W., Holland, P.G. (1986). Strategic Management. Concepts and Experiences. New York: McGraw-Hill Inc., pp. 430-432.
• World Steel Association. Steel Statistical Yearbook 2017. [online] Available at: www.worldsteel.org/internet-2017/steel-by-topic/statistics/steel-statistical-yearbook-.html (Accessed 5.12.2017).

Identyfikatory

DOI

10.2478/mape-2018-0063