The coupling relations between the multi-quality characteristics and design parameters of products were analyzed. An index for measuring the coupling degree of multi-quality characteristics was defined and a robust design criterion was put forward to achieve the decoupling of characteristics approximately. A modeling method of the robust design with multi-quality characteristics was proposed. On one hand, according to the requirement of Suh’s first design axiom (the information axiom), the robustness of each characteristic was optimized to reduce its contents of uncertainties; on the other hand, according to the requirement of Suh’s second design axiom (the independence axiom), the characteristics of a product were decoupled approximately to improve the integrated robustness. A back-propagation neural network was designed as the substitution for the nonlinear stochastic functions in the established model. With genetic algorithm combined with stochastic simulations, an intelligent optimization algorithm was developed for solving the established model effectively. An example was presented, and the results show that this method is effective and feasible. 