At Six Sigma Professionals we practice traditional optimization methods but our preferred strategy for optimization is the Robust Design approach. This methodology is easily taught to engineers and is the most effective strategy in dealing with sources of variation which are difficult or impossible to control. Sources of variation such as customer usage conditions, usage environment, and the effects of deterioration over time are the types of noise that we need robustness against.
The Dynamic Formulation; y = f(M, Xi, N)
The Dynamic form of this method is characterized by recognizing that all systems are developed to transform an input (Intent) into useful output (Result). The robust optimization approach optimizes this input-output relationship such that this relationship is proportional (stable) across the user defined range of interest. Most all systems can be formulated as dynamic systems. In fact, there are advantages to defining this useful range (Signal Factor M) so that it represents future or anticipated needs of the system. In this way we develop a technology that is robust to different product applications. This approach is referred to as robust technology development.
This same approach is used for complex systems where there are many sub-functions, and the task of the engineer is to ensure that there is robustness at system interfaces. A system that is optimized for dynamic robustness is easily adjustable to meet changing sensitivity needs.
Robustness Big Ideas...
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