A Comparative Analysis of Two Popular Quality Measurement Systems in the Automobile Industry
Abstract
Consumer Reports and J.D. Power and Associates are two widely-known agencies that gather data on automobile quality and prepare reports on the data gathered. the reports they prepare usually contain a wealth of data related to various aspects of automobiles for different models for each manufacturer. the manufacturers surveyed include US-Based companies, such as Ford Motors, GM, and Chrysler, and Asian-Based companies, such as Toyota, Honda and Hyundai. Many of the metrics needed for quality and reliability measurement are common to reports from both agencies, but the scales on which they are measured are not always consistent. in this paper, we first present an approach to develop a realistic comparison of data related to a given metric for any given automobile type from the two reports. the rationale for this is to determine if the ratings (rankings) provided by the two agencies agree/match. We also conduct a preliminary analysis of the data from two categories of vehicles, Small and Mid-size SUVs, which currently tend to be the most popular automobiles in the US. Our goal here is to determine if there are any clear-cut differences between US and Asian vehicles in terms of the ratings and trends. Further, we also want to test how closely reports from the two agencies agree with each other for the vehicle classes selected. Regression analysis was used to determine any potential trends in the quality of the vehicle over time. Copyright, American Society for Engineering Management, 2012.
Recommended Citation
O. Senoz et al., "A Comparative Analysis of Two Popular Quality Measurement Systems in the Automobile Industry," Annual International Conference of the American Society for Engineering Management 2012, ASEM 2012 - Agile Management: Embracing Change and Uncertainty in Engineering Management, pp. 620 - 624, American Society of Engineering Management, Dec 2012.
Department(s)
Engineering Management and Systems Engineering
International Standard Book Number (ISBN)
978-162748282-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society for Engineering Management, All rights reserved.
Publication Date
01 Dec 2012