Using AI to Enhance Control and Monitoring Systems in Manufacturing

Abstract

The integration of Artificial Intelligence (AI) in manufacturing control and monitoring systems has emerged as a transformative technology, offering significant advancements in process optimization, predictive maintenance, and autonomous operations. This paper explores the role of AI in enhancing control systems in manufacturing environments, focusing on how machine learning algorithms, computer vision, and deep learning models are applied to improve real-time monitoring, fault detection, and quality control. We discuss the impact of AI on operational efficiency, the challenges faced in implementation, and the opportunities AI presents for smarter, more flexible manufacturing systems. Case studies from various industries, including automotive and electronics manufacturing, demonstrate the practical benefits of AI-driven control and monitoring systems. Finally, the paper outlines future directions, including the integration of AI with IoT and the potential for fully autonomous manufacturing systems.