An Application of Technical of Dimensional Analysis in an Industrial Multivariate Process

In this work diverse methodologies are applied to identify dimensional variation generated in the assembly process of a vehicle. The investigation analyzes the advantages of using principal components analysis (PCA) by means of using artificial neuronal networks and robust statistics in different situations of a multivariate industrial process