from the conferences organized by TANGER Ltd.
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.