The article reviews how simulation experiments are designed and analyzed using regression or Kriging metamodels. The type of metamodel used determines the design of the experiment, which in turn determines the input combinations for the simulation. Different types of polynomials require specific designs, and sequential bifurcation can help screen inputs. Optimization can be done using response surface methodology or Kriging models. The review also covers robust optimization for uncertain inputs.