Integration of dynamic multi-response systems using the product of normalised squared-bias and variance Online publication date: Sat, 30-Aug-2014
by Naresh K. Sharma; Elizabeth A. Cudney; Steven M. Corns
International Journal of Quality Engineering and Technology (IJQET), Vol. 3, No. 2, 2012
Abstract: The quality loss function developed by Taguchi for smaller-the-better and nominal-the-best characteristics can be decomposed into two components: variance and bias. For the larger-the-better characteristics with an infinite target, a decomposition of this nature is not straightforward. However, the decomposition for the larger-the-better characteristic is possible when a finite target is considered. This research proposes decomposing all three types of characteristics in the same way for similarity and equality among characteristics for multi-response cases. The two components of quality loss are utilised to formulate a metric called the product of normalised squared-bias and variance. This metric can in turn be employed to simultaneously improve both the dynamic and the static multiple responses of a system. An example is also provided to demonstrate the proposed methodology in a dynamic multi-response system.
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