Publication date: 11/10/2021
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 11.1 Model-driven Multiple Control ChartÂ
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 Historical Data
Example of an MDMVCC with a PLS Model
Statistical Details for the Model Driven Multivariate Control Chart Platform
Monitoring Statistics
Limits
Contributions
Score Plot Group Comparisons
Score Plot Loadings
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).