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Quality and Process Methods > Model Driven Multivariate Control Charts
Publication date: 04/21/2023

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 provided models. Use the MDMVCC platform to interactively explore and understand the underlying components that lead to out-of-control signals.

Figure 13.1 Model-driven Multiple Control Chart 

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 a Model Driven Multivariate Control Chart with Historical Data
Example of a Model Driven Multivariate Control Chart with a PLS Model

Statistical Details for the Model Driven Multivariate Control Chart Platform

Statistical Details for Monitoring Statistics
Statistical Details for Limits
Statistical Details for Contributions
Statistical Details for Score Plot Group Comparisons
Statistical Details for Score Plot Loadings
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