the dual response surface methodology were used so as to
consider the estimation of the mean and the standard deviation
of the responses of the model. Tang and Chen [9]
investigated the way that the stochastic variation of noise
factors affected the stamping process quality. Ingarao et al.
[10] integrated numerical simulation, response surface
methodology, and Pareto optimal solution search techniques
into the design of a complex Y-shaped tube hydroforming.
Oh and Kim [11] analyzed and optimized the roll forming of
a slide rail, having set the pass with the largest possible
deformation as a target pass and the position and shapes of