ARIMA - FORECASTING THE DEMAND OF THE PRODUCTION PLANT
Every enterprise in an unstable external environment needs control and analysis of sales. The article solves the practical problem of developing a model for forecasting the volume of demand for six product groups of a large industrial enterprise, a manufacturer of perfume and cosmetic and household products in aerosol packaging. An algorithm for forecasting demand based on ARIMA-models with the use of PPP Statistica is proposed. For each product group, a forecast was obtained using two models with a forecasting accuracy of 80-98%.