FORECASTING THE EFFICIENCY OF ELECTRICAL PRODUCTS TAKING INTO ACCOUNT THE STAGES OF THEIR LIFE CYCLE

In the conditions of accelerated scientific and technological progress social development, products can lose consumer value and, therefore, be ousted from market by other goods with a higher value. this regard, importance predicting product life cycles their effectiveness is increasing. The aim article to study issue forecasting efficiency electrical taking into account stages cycle constructing multifactor regression model. method correlation-regression analysis was used build forecast model determine most influential factors for particular motor, which determined relationship between comprehensive indicator individual indicators efficiency. Thus, investigated cycle. On example electric motor AIR 80 PJSC «Kharkiv Electrotechnical Plant «Ukrelectromash»» stage decline built, includes important impact on allows predict its dynamics.