Friction Stir Welding (FSW) is a joining technique mostly used in aluminum alloys. The process includes multiple factors and control parameters, optimizing the quality of welds, enhancing efficiency, and reducing defects. This study examines different approaches used in FSW, such as the Taguchi method, Response Surface Methodology (RSM), Factorial Design (FD), numerical simulations and computational models, like Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Artificial Neural Networks (ANN), and Genetic Algorithms (GA). The study also proposes the development of advanced simulation models and the integration of Artificial Intelligence (AI) for real-time process control.