Response surface methodology (RSM) is techniques combine both of experimental designs and statistical techniques for empirical model building and optimization. The experimental design is considered by the objective is to optimize one or more response variables influenced by several independent variables. However, in real situation, we may not be able to identify the true model and so an approximated model, usually a central composite design for building a second-order polynomial model, this design is popular in RSM.