A Comparison of Techniques to Forecast Consumer Satisfaction for Vehicle Ride

Author

David Drain, Missouri University of Science and TechnologyFollow
Kioumars Paryani
Elizabeth A. Cudney, Missouri University of Science and TechnologyFollow
K. M. Ragsdell, Missouri University of Science and TechnologyFollow

Abstract

This paper presents a comparison of methods for the identification of a reduced set of useful variables using a multidimensional system. The Mahalanobis-Taguchi System and a standard statistical technique are used to reduce the dimensionality of vehicle ride based on consumer satisfaction ratings. The Mahalanobis-Taguchi System and cluster analysis are applied to vehicle ride. The research considers 67 vehicle data sets for the 6 vehicle ride parameters. This paper applies the Mahalanobis-Taguchi System to forecast consumer satisfaction and provides a comparison of results with those obtained from a standard statistical approach to the problem.

Recommended Citation

D. Drain et al., "A Comparison of Techniques to Forecast Consumer Satisfaction for Vehicle Ride," SAE World Congress & Exhibition, April 2007, SAE International (Society of Automotive Engineers ), Jan 2007.

Department(s)

Mathematics and Statistics

Second Department

Engineering Management and Systems Engineering

Keywords and Phrases

Mahalanobis-Taguchi System

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2007 SAE International (Society of Automotive Engineers ), All rights reserved.

Publication Date

01 Jan 2007