Predicting vehicle cost using the T-method
Elizabeth A. Cudney,
Parthiv A. Shah and
Rodney Kestle
International Journal of Product Development, 2010, vol. 12, issue 3/4, 311-323
Abstract:
The T-method is a technique developed by Genichi Taguchi to calculate an overall prediction based on the Signal-to-Noise (SN) ratio without the use of Gram-Schmidt orthogonalisation. The Taguchi Methods, also known as Robust Design principles, are used for optimisation through planning, conducting, and evaluating the results of experiments to determine the best levels of control factors. This paper outlines the T-method steps using a forecasting case study to calculate vehicle cost with a univariate response to illustrate the technique. In addition, a basic comparison with the Mahalanobis-Taguchi System (MTS) is provided.
Keywords: T-method; vehicle cost prediction; Taguchi methods; quality engineering; univariate; robust design; vehicle costs; MTS; Mahalanobis-Taguchi System; optimisation. (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:12:y:2010:i:3/4:p:311-323
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