Most manufacturing industries have been faced with the problem involving simultaneousoptimization of several quality characteristics that may be considered the basis for the product selection by customers. Compared with the case of single quality characteristic, however, the design optimization of multiple quality characteristics has received little attention. This paper employs the concepts of the dual response surface technique and the MSE criterion to the optimization of multiple quality characteristics. The proposed model is aimed at simultaneously minimizing the MSE of individual quality characteristics. However, the optimal solution to one quality characteristic may result in poor performances in other quality characteristics. Thus, a tradeoff among quality characteristics is required and the design optimization of multiple quality characteristics may be viewed as a multiple objective programming problem. A global criterion approach (Lai and Hwang 1994) is employed to set up an optimization model for multiple quality characteristics.
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