Integration of Dynamic Multi-response Systems using the Product of Normalised Squared-bias and Variance

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. © 2012 Inderscience Enterprises Ltd.

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

dynamic multi-response system; finite target; normalised squared-bias and variance; quality loss; signal-to-noise ratio; static system; unified methodology

International Standard Serial Number (ISSN)

1757-2185; 1757-2177

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Inderscience, All rights reserved.

Publication Date

01 Jan 2012

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