Implementation of Multivariate Statistical Process Control

This learning path uncovers the black boxes about statistical analyses for process control to see transparently how statistical models grab the information from the industrial stages to generate metrics that inform experts about performance as production progresses. We will see process data that are naturally arranged into 2D or 3D data structures (i.e. tensors/arrays) and we will unfold 3D tensors/arrays in different ways depending on the modeling tool and objective of interest. We will give you an overview of the programming steps and explain the functionality of each part of the routine.