IMPLEMENTATION OF MACHINE LEARNING IN QUALITY MANAGEMENT SYSTEMS OF METALLURGICAL ENTERPRISES

The research focuses on the application of machine learning algorithms to improve the quality management system in the metallurgical industry. Particular importance is attached to the digital transformation of critical technological operations, including automating metal melting processes, efficient use of raw materials, rational energy consumption, timely maintenance of equipment, and monitoring the quality of finished products. Thanks to the implementation of modern machine learning methods, achieving new levels of production efficiency becomes possible. Comprehensive digitalization of production processes not only contributes to improving the quality of manufactured products but also ensures significant optimization of all production stages.