Prevention of Mis-selection of Automobile Assembly Parts

Abstract

In this study, we investigate the mis-selection of automobile assembly parts. The mis-assembly results are analyzed by the multivariative quantification method I. It is found that three factors, namely, the number of kinds of a part, worker's experience and instructions for part's use are essential for mis-assembly occurrence. Based on these observations, a new parts selecting instruction system is proposed to prevent the mis-assembly occurrence. The mis-assembly occurrence ratio with the new system shows a significant decrease as predicted by the analysis.