Model Driven Multivariate Control Charts

Monitor and Diagnosis a Complex Process

Model-driven multivariate control charts are used to monitor parameters for multiple processes in a single control chart. The Model Driven Multivariate Control Chart (MDMVCC) platform enables you to build a control chart based on principal components or partial least squares models. For a set of continuous variables, the MDMVCC platform uses principal components to build the control chart. For saved principal components or partial least squares score functions, the MDMVCC platform builds a control chart based on the values. Use the MDMVCC platform to interactively explore and understand the underlying components that lead to out-of-control signals.

Figure 11.1 Model-driven Multiple Control Chart 

Contents

Overview of Model Driven Multivariate Control Charts

Example of Model Driven Multivariate Control Charts

Launch the Model Driven Multivariate Control Chart Platform

Data Format

The Model Driven Multivariate Control Chart Report

Model Driven Multivariate Control Chart Platform Options

Plot Options

Score Plot

Additional Examples of the Model Driven Multivariate Control Chart Platform

Example of an MDMVCC with a PLS Model

Example of an MDMVCC with Historical Data

Statistical Details for the Model Driven Multivariate Control Chart Platform

T2 Values

Limits

Contributions

Score Plot Group Comparisons