SCIENCE & EDUCATION

Various problems of prediction in tool production are considered and approaches to their decision are investigated. Features of the accounting of non-stationary production factors and the hidden interrelations are identified. Need of application of artificial neural networks is proved. Algorithms of prediction of equipment loading, need for a material, the forecasting of marriage and energy consumption which are realized by means of a neuronet of direct distribution are offered. Examples of prediction problems in an information and analytical control system of supply and production of the tool are given.