Publication date: 09/28/2021
Multivariate Control Charts
Monitor Multiple Process Characteristics Simultaneously
Multivariate control charts are used to monitor two or more interrelated process variables. Where univariate control charts are used to monitor a single independent process characteristic, multivariate control charts are necessary when process variables are correlated. The Multivariate Control Chart platform enables you to build Hotelling T2 charts. You can use the platform to determine whether a process is stable as well as to monitor a process as new data are collected.
For monitoring and diagnosing complex processes, see Model Driven Multivariate Control Charts.
Figure 10.1 Example of a Multivariate Control ChartÂ
Contents
Overview of Multivariate Control Charts
Example of a Multivariate Control Chart
Launch the Multivariate Control Chart Platform
The Multivariate Control Chart
Multivariate Control Chart Platform Options
T Square Partitioned
Change Point Detection
Principal Components
Additional Examples of Multivariate Control Charts
Example of Monitoring a Process Using Sub-Grouped Data
Example of T Square Partitioned
Example of Change Point Detection
Statistical Details for Multivariate Control Charts
Statistical Details for Individual Observations
Statistical Details for Observations in Rational Subgroups
Statistical Details for Change Point Detection
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