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.
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