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The optimal operation of reheating furnaces in the metallurgical industry is subject to regularities in the work of the furnace. In practice, however, one cannot avoid downtime to some extent, which causes the deterioration of economic indicators in the furnace. The article demonstrates how to use simulation models for reducing the negative impact of downtime by correcting the temperature in individual zones of the furnace. Corrections are calculated on the basis of predictions of initial heating curves of the processed material and subsequent optimization while using the elements of artificial intelligence.