EconPapers    
Economics at your fingertips  
 

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
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=36393 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:12:y:2010:i:3/4:p:311-323

Access Statistics for this article

More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijpdev:v:12:y:2010:i:3/4:p:311-323