Title

A Comparison of Techniques to Forecast Consumer Satisfaction for Vehicle Ride

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.

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.


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