Abstract：Conventional robust optimization design methodology is only concerned with optimization of a single response or quality characteristic. However, products are typically characterized by numerous quality characteristics and quality characteristics are often conflicted each other. Therefore, it is very important significance that to research a efficient and effective multi-objective robust optimization methodology. In this paper, we present that the mean and variance of product characteristics and constraints are constructed to use dual response surface methodology. At the foundation of that, integrating 6sigma with dual response surface methodology ,we establish a multi-objective robust optimization methodology based 6sigma. The method is applied to optimize vehicle crashworthiness and sheet metal forming. The optimal result significantly improves robust of vehicle crashworthiness and sheet metal forming. Numeral example has indicated that this method has higher precision and stronger project practicability.
2011, Vol. 32 
