Abstract
Consumers assess and perceive quality and performance at the vehicle level, but important cost-effective decisions at the sub-system or component level must be made by the producer in order to economically satisfy consumer needs by providing affordable products. Consumers evaluate vehicle attributes such as ride, handling, roominess, braking, and acceleration. These vehicle level attributes are influenced by factors at all levels of the vehicle architecture, and these factors are often correlated. the goal of this research is to efficiently forecast consumer satisfaction measured as a function of available vehicle level performance data. This article presents the application of the Mahalanobis-Taguchi Gram-Schmidt technique to identify a reduced set of useful variables for vehicle ride. © 2010 by the American Society for Engineering Management.
Recommended Citation
E. A. Cudney et al., "Forecasting Consumer Satisfaction for Vehicle Ride using the Mahalanobis-taguchi Gram-schmidt Technique," EMJ - Engineering Management Journal, vol. 22, no. 2, pp. 3 - 9, Taylor and Francis Group; Taylor and Francis, Jun 2010.
The definitive version is available at https://doi.org/10.1080/10429247.2010.11431858
Department(s)
Engineering Management and Systems Engineering
Publication Status
Full Access
Keywords and Phrases
Consumer Satisfaction; Forecasting; Mahalanobis-Taguchi System; Multivariate; Orthogonalization
International Standard Serial Number (ISSN)
1042-9247
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
01 Jun 2010
