Multivariate dimensional accuracy data analysis in automobile assembly: Modeling, reduction and quality control issues
Nurprasetio P.a, Fassois S.D.b
a Department of Mechanical Engineering, Bandung Institute of Technology, Bandung, 40132, Indonesia
b Stochastic Mechanical Systems (SMS) Group, Department of Mechanical and Aeronautical Engineering, University of Patras, Patras, GR 265 00, Greece
Abstract
© 1999 EUCA.The problem of dimensional accuracy data analysis in automobile assembly operations is considered. The data are measured via Optical Coordinate Measuring Machines (OCMM’s), and issues of multivariate modeling, analysis, reduction (sensor number and location determination) and quality control are addressed. The study is based upon a novel multivariate time series analysis framework that accounts for both spatial cross correlation and serial autocorrelation. Its effectiveness is demonstrated via actual and simulated plant data.
Author keywords
Automobile assemblies,Dimensional accuracy,Location determination,Multivariate modeling,Multivariate time series,Multivariate time series analysis,Optical coordinate measuring machines,Statistical quality control
Indexed keywords
automobile assembly,data reduction,multivariate time series,OCMM data analysis,statistical quality control