DEMAND PREDICTIVE MODEL FOR SMALL METALLURGICAL COMPANIES

1 STAŠ David
Co-authors:
1 LENORT Radim 1 PASTOR Otto 2 CHVĚJA Stanislav 2 SOBEK Jiří
Institutions:
1 ŠKODA AUTO University, Na Karmeli 1457, Mladá Boleslav, Czech Republic, EU, stas@is.savs.cz, lenort@is.savs.cz
2 VÚHŽ a.s., Dobrá 240, Czech Republic, EU
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
2088-2093
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
341 views / 156 downloads
Abstract

The typical problems facing with small metallurgical companies are prediction errors, because their markets are volatile and difficult to predict. For that reason, the ability to develop accurate demand predictions is critical in the industry. The paper presents a hierarchical middle-term predictive model for small metallurgical companies. The model is built by top-down predictive approach and verified by means of a case study in the company producing the special rolled sections. Weaknesses of the model are identified during discussion of the acquired results. A Generalized concept of ANN predictive model is designed for elimination these weaknesses.

Keywords: metallurgical company, demand predictive model, top-down approach, special rolled sections

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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