AI-enabled real-time process optimization in smart manufacturing environments

Abstract

Abstract. Introduction of Artificial Intelligence (AI) to smart manufacturing has transformed conventional production systems as it allows optimization of processes in real-time. In this paper, the author introduces an extended outline of the AI-based decision-making in manufacturing facilities with the application of real-time sensor data, machine learning, and adaptive control. The offered system will help improve productivity, minimize the downtime, and optimize the product quality with the help of predictive analytics and dynamic optimization. It is experimentally proven that the efficiency, accuracy and operational performance greatly improve when using industrial datasets. The paper puts emphasis on the possibilities of AI-powered systems to reach Industry 4.0 goals.