Follow-up Experiments to Verify Dispersion Effects: Taguchi's Welding Experiment

Bisgaard, Søren; Pinho, André Luís Santos de

doi:10.1081/qen-120024023

Cited by 10 publications

(2 citation statements)

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“…As discussed by, for example, Pinho (2003-2004), this can be accomplished by computing the residuals from an appropriate model for location. As discussed by, for example, Pinho (2003-2004), this can be accomplished by computing the residuals from an appropriate model for location.…”

Section: Identification Of Dispersion Effectsmentioning

confidence: 99%

“…For example, in analyzing Taguchi's arc welding experiment, Pinho (2003-2004) pointed out that if high tensile strength was to be achieved, the material that exhibited the largest dispersion had to be used, whereas the material that produced the least amount of dispersion seemed to have inferior breaking strength. For example, in analyzing Taguchi's arc welding experiment, Pinho (2003-2004) pointed out that if high tensile strength was to be achieved, the material that exhibited the largest dispersion had to be used, whereas the material that produced the least amount of dispersion seemed to have inferior breaking strength.…”

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confidence: 99%

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Robust Designs

2006

Modern Experimental Design

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Section: Identification Of Dispersion Effectsmentioning

confidence: 99%

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confidence: 99%

Robust Designs

2006

Modern Experimental Design

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Dispersion Effects

Tort‐Martorell¹,

Marco²

2007

Encyclopedia of Statistics in Quality and Reliability

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Reduction of variation is a crucial ingredient for quality and productivity improvement. An economical and effective approach is to conduct statistically designed experiments, not only to identify controllable factors that affect the mean level (location) of the response, but also to identify and learn about the ones that affect the dispersion. This article explains how control factors can affect the response variability, how they can be identified and estimated, and gives two well‐documented examples that show how this knowledge can be used to improve products and processes.

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