Reduction of Specific Power Consumption when Implementing the Algorithm Based on Precedents and Adaptive-Resonant Neural Network Model

The article considers the problem of planning time reduction arising in scheduling, which directly affects the power consumption. It is proposed to build and adjust the production schedule with the help of intelligent decision support system based on precedents. The paper establishes that the application of the developed system will reduce the specific power consumption for steelmaking from 1.39% to 1.65% compared to the application of the known algorithm used in production.