The paper reviews modern intelligent manufacturing process control systems that are based on artificial intelligence and machine learning technologies. Key areas of their application, such as predictive maintenance, real-time optimization of manufacturing operations, and product quality improvement, are analyzed. Real-world examples of the implementation of such systems in industrial enterprises are described, and the main challenges and prospects for further development are discussed. Findings on the impact of intelligent systems on improving the efficiency and competitiveness of manufacturing enterprises are presented.
Albert W. ChanAjit PardasaniHoma AtabakhshU. GraefeN. Cloutier