The article discusses using Kriging interpolation in simulation to create accurate models of complex systems. Kriging is a method that predicts output values based on observed inputs, giving precise results. This technique is beneficial for computer-aided engineering and sensitivity analysis. Unlike traditional regression analysis, Kriging considers neighboring data points for better predictions. To build these models, researchers use space-filling designs like latin hypercube sampling. The study also introduces new sequential designs for more customized applications.