Abstract: Flotation is one of the commonly used technologies in beneficiation technology. In order to meet the requirements of beneficiation process indicators，it is necessary to add agents such as collectors，inhibitors，activators and pH adjusters.The consumption of chemicals affects the cost of beneficiation while affecting the flotation process indicators，therefore，forecasting daily，weekly，monthly and yearly consumption of pharmaceuticals and managing consumption of pharmaceuticals is an important research question. Based on the missing data filling technique，uses fusion modeling to establish a non-linear model with mixed effects on ore properties，flotation index and reagent consumption，and predict 7 d (1 week)，30 d (1 month)，365 d (1 year) consumption of flotation agent. The comparison between the prediction results and the production data shows that the model achieves short-term accurate prediction of the flotation agent dosage in the concentrator. The actual data show that the method has guiding significance for production practice.

Key words: Flotation index, Missing data, Flotation reagents consumption, Fusion modeling, Managing consumption of pharmaceuticals