Multi-approach model of forecasting demand for products of the metallurgical industry

Riabkova Darya Andreevna, Smyslova Alena Leonidovna, Shabalov Victor Aleksandrovich

This paper considered the process of forecasting demand for metallurgical productP. The problems of classical forecasting methods are identified and a multi-approach model is proposed, it includes: a fuzzy regression model, a system dynamics model, and an agent model. The multi-approach model allows to forecast demand for 1-12 months with an accuracy of 91%.

Keywords:forecasting, regression analysis, metallurgy, fuzzy model, factor variables, demand.