Multivariate Quality Control Charts Overview

The Statistica® Multivariate Quality Control module extends the functionality of univariate (standard Shewhart) control charts, available in the Quality Control module. The multivariate control charts available include:

Hotelling T2 charts for individual observations and sample means
Multivariate Exponentially Weighted Moving Average charts (MEWMA) for observations and sample means
Multivariate Cumulative Sum charts (MCUSUM) for observations
Multiple Stream X-bar and R Charts, MR charts, and S charts for observations and sample means

These charts are useful for tracking large numbers of parameters in a single chart. You can automate them in a real-time environment using the (Web-enabled) Statistica Enterprise platform and the Statistica Monitoring and Alerting Server (MAS), to create a powerful advanced process monitoring and control system capable of monitoring hundreds of processes simultaneously.

For more details, see Montgomery's Introduction to Statistical Quality Control.

Note: The Statistica S chart differs from the Montgomery formulas because in Statistica, C4 is calculated more precisely than by Montgomery, who used lookup tables.

Also, you can see:

The Architecture of the Multivariate Quality Control Charts Module

General Purpose

General Approach

Computational Details

Establishing Control Limits

Common Types of Multivariate Control Charts

Multivariate Quality Control Charts Events

Did you find this helpful?

Yes No

Subtopics