The thesis provides a robust design to identify the optimal combination of factor levels for dynamic systems with multiple quality characteristics. The reciprocal coefficient of variation is used to compute the relative efficiency of decision making unit in the data envelopment analysis approach, in which the constant return to scale model is considered. The proposed method makes free of the limitations of Taguchi method, it can reach a robust design when the relationship of the output of quality characteristic and signal factors is nonlinear. The use of the proposed method is illustrated via an example regarding the manufacturing of temperature control circuit.