A Brief Analysis of the Literature on the Use of Artificial Intelligence and Machine Learning in the Manufacturing System

As the demands and challenges of today's industries are continuously changing, for this reason, the industry is trying to revolutionize the way, and the technologies applied eventually. Optimizing the manufacturing process to achieve maximum production with minimum exploitation of resources is the main objective of Industry 4.0 by improving its performance indicators such as; flexibility, resilience, robustness, relevance, agility, responsiveness, and proactivity. The birth of I 4.0 is due to the development of new tools that have made this revolution tangible. Artificial Intelligence (AI), Internet of Things (IoT), Cloud Computing, Big Data, Augmented Reality, Cyber-Physical Systems (CPS), Vertical and Horizontal Integration, Cyber Security, Collaborative Robots, and Smart Machines or Machine Learning. These new technologies are the driving force behind technological advances, including the availability of large amounts of data that these technologies can exploit. However, adopting AI technologies for I4.0 varies considerably across industry sectors.