Multivariate dimensional accuracy data analysis in automobile assembly: Modeling, reduction and quality control issues

Author

Nurprasetio, P. ; Fassois, S.D.

Author_Institution

Dept. of Mech. Eng., Bandung Inst. of Technol., Bandung, Indonesia

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

1813

Lastpage

1818

Abstract

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.

Keywords

assembling; automobile manufacture; coordinate measuring machines; data analysis; multivariable systems; quality control; time series; OCMM; automobile assembly; multivariate dimensional accuracy data analysis; multivariate modeling; multivariate time series analysis framework; optical coordinate measuring machines; quality control; serial autocorrelation; spatial cross correlation; Analytical models; Autoregressive processes; Correlation; Data models; Dispersion; Quality control; Sea measurements; OCMM data analysis; automobile assembly; data reduction; multivariate time series; statistical quality control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7099579