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May 1996 Parameter design for signal-response systems: a different look at Taguchi's dynamic parameter design
Arden Miller, C.F.J. Wu
Statist. Sci. 11(2): 122-136 (May 1996). DOI: 10.1214/ss/1038425656

Abstract

A recent trend in the industrial applications of robust parameter design is to consider complex systems which are called "systems with dynamic characteristics" in Taguchi's terminology or signal-response systems in this paper. This potentially important tool in quality engineering lacks a solid basis on which to build a rigorous body of theory and methodology. The purpose of this paper is to provide such a basis. We classify signal-response systems into two broad types: measurement systems and multiple target systems. Three issues are then of fundamental importance. First, a proper performance measure needs to be chosen for system optimization, and this choice depends on the type of system. Taguchi's dynamic signal-to-noise ratio is shown to be appropriate for certain measurement systems but not for multiple target systems. Second, there are two strategies for modeling and analyzing data: performance measure modeling and response function modeling. Finally, the proper design of such experiments should take into account the modeling and analysis strategy. The proposed methodology is illustrated with a real experiment on injection molding.

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Arden Miller. C.F.J. Wu. "Parameter design for signal-response systems: a different look at Taguchi's dynamic parameter design." Statist. Sci. 11 (2) 122 - 136, May 1996. https://doi.org/10.1214/ss/1038425656

Information

Published: May 1996
First available in Project Euclid: 27 November 2002

Digital Object Identifier: 10.1214/ss/1038425656

Rights: Copyright © 1996 Institute of Mathematical Statistics

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Vol.11 • No. 2 • May 1996
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