Abstract
The optimization of dual response systems in order to achieve better quality has been an important problem in the robust design of industrial products and processes. In this paper, we propose a goal programming approach to optimize a dual response system. The formulation is general enough to include some of the existing methods as special cases. For purposes of illustration and comparison, the proposed approach is applied to two examples. We show that by tuning the weights assigned to the respective targets for the mean and standard deviation, past results can easily be replicated using Excel Solver, the use of which further enhances the practical appeal of our formulation.
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