Prediction models of non-ferrous secondary raw materials formation

Abstract

For the prediction of formation of non-ferrous processing and accumulating waste both model of balancing and model of correlation and regression analysis can be employed, while the dynamic model can be applied only for the accumulating waste. Estimates of the formation of certain type of metallic secondary raw materials in model of balancing are based on data of production and consumption of metals and on the numerical values of the waste formation coefficients. Applying of correlation and regression analysis method on the assessment of metallic waste formation is based on finding the functional dependence between the creation of metallic waste and quantity of waste on the input stream of processing as well as correlation with metal fund for accumulation waste. The dynamic model are linking the effect of the products materials content and design on the amount of the quantity of the used products which are recycled over time, including various external influential factors.