The design and manufacturing processes of advanced systems involve numerous challenges, such as dynamic nature and unplanned behaviors that can be chaotic and complex. Recently, the evolution of Big Data technologies, high-speed computing, cloud computing, and Artificial Intelligence techniques (such as Machine Learning and Deep Learning) have transformed the way many engineering and manufacturing professionals approach their work
These technologies offer innovative ways for engineers and manufacturers to address real-world challenges. However, the field of Artificial Intelligence (AI) is vast, encompassing diverse theories, algorithms, and methods. This diversity poses significant challenges in selecting the appropriate AI technique for a specific engineering or manufacturing process and its respective environment.
This document is a broad literature review of applications AI in systems engineering and engineering. It is expected that there will be continuation for this document
