An approach to dynamic analysis of multidimensional quality characteristics in automobile body-in-white assembly
by Yinzhong Jiang; Kai Yang
International Journal of Industrial and Systems Engineering (IJISE), Vol. 10, No. 2, 2012

Abstract: The analysis of the multivariate dynamic information contained in the observed data of automobile build has been one of the significant and interesting topics. In this paper, we present a new approach to dynamic statistical analysis of multidimensional quality characteristics in automobile body assembly. An analytic procedure combining the principal component analysis with the time-series method is given to investigate the multivariate dynamic problems in automotive industry. An application study using real data in automobile body build is illustrated in detail.

Online publication date: Sat, 20-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com