INFORMATION TECHNOLOGIES FOR FORECASTING CAR DEPOT INVENTORY USING CORRELATION ANALYSIS

Abstract

The analysis of the statistics of expenses of components and spare parts of mobile units of the car depot is carried out, the trend of changes in expenses is determined and the mathematical apparatus for forecasting the need for spare parts is selected, which provides the maximum accuracy of the forecast.Forecasting of changes in the parameters of various systems is performed using information about the factors that affect the predicted parameter, using regression models. A multivariate regression model is proposed that takes into account the factors that affect the consumption of spare parts and establishes the density of the relationship between the factors themselves.