Treffer: A Practical Approach for Performing Multi-response Optimization for Advanced Process Control.

In account of the statistical methods used in advanced manufacturing process optimization, multi-response optimization is one of the key areas of focus. Previously multi-response optimization problems were solved by past experiences and engineering judgment by many industries which lead to uncertainty in the decision making & and less confidence in getting optimized process parameters to produce robust products. For identifying the optimal process parameters for a manufacturing a robust product in which multiple CTQ (Critical-to-Quality) characteristics need to be achieved, a systematic statistical optimization approach is required. This paper presents one of the practical systematic approaches for multi-response optimization of advanced manufacturing processes. This statistical methodology uses Taguchi DoE (Design of Experiment) based approach to optimize the process parameters for individual CTQ followed by a multi-response optimization using composite desirability functions to achieve multiple CTQs. [ABSTRACT FROM AUTHOR]

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