This paper proposes a method based on the differential evolutionary algorithm and support vector machine to solve the problems of hard-to-handle small samples and nonlinearity of quality management modeling. Then it applies the new method to the application in WISCO. Numerical results compared with neural network show the efficiency of the method and prove that the new method could provide a comprehensive solution for the problem of quality management.