Title: An approach to dynamic analysis of multidimensional quality characteristics in automobile body-in-white assembly
Authors: Yinzhong Jiang; Kai Yang
Beijing Automotive Technology Center, Peng Long Building 1012, No. 10 Hua Wei Li, Chao Yang District, Beijing 100021, China
Department of Industrial and Manufacturing Engineering, Wayne State University, Detroit, MI 48202, USA
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.
Keywords: multidimensional quality control; PCA; principal component analysis; time series; automobile industry; car body assembly; automotive body-in-white.
Int. J. of Industrial and Systems Engineering, 2012 Vol.10, No.2, pp.135 - 152
Available online: 27 Jan 2012