Multivariate Control Chart

Example 1

Summary: Save T Square statistics and configuration for a multivariate control chart involving six variables.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Aluminum Pins Historical.jmp");
// Save T Square
dt = Current Data Table();
MyTchart =
Multivariate Control Chart(
    Y(
        :Diameter1, :Diameter2,
        :Diameter3, :Diameter4, :Length1,
        :Length2
    ),
    Subgroup( :subgroup )
);
MyTchart << Save T Square;

Example 2

Summary: Generate a multivariate control chart for quality control variables on aluminum pins using the Subgroup function and set the Alpha Level to 0.0027.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Aluminum Pins Historical.jmp");
// Multivariate Control Chart
Multivariate Control Chart(
    Y(
        :Diameter1, :Diameter2,
        :Diameter3, :Diameter4, :Length1,
        :Length2
    ),
    Subgroup( :subgroup ),
    Set Alpha Level( 0.0027 )
);

Example 3

Summary: Build a Multivariate Control Chart using the Principal Components method and Phase Detection.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Gravel.jmp");
// Multivariate Control Chart
Multivariate Control Chart(
    Y( :Large, :Medium ),
    Principal Components( 1 ),
    Phase Detection( 1 )
);

Example 4

Summary: Perform Principal Component Analysis to identify underlying factors influencing multiple quality control metrics in Steam Turbine Historical data.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Steam Turbine Historical.jmp");
// Principal Component Analysis
Multivariate Control Chart(
    Y(
        :Fuel, :Steam Flow, :Steam Temp,
        :MW, :Cool Temp, :Pressure
    )
) << Save T Square <<
Save Principal Components;
Current Data Table() <<
New Column( :PCA Column,
    Continuous,
    Formula(
        :Prin1 ^ 2 + :Prin2 ^ 2 + :Prin3
         ^ 2 + :Prin4 ^ 2 + :Prin5 ^ 2
        +:Prin6 ^ 2
    )
);

Example 5

Summary: Construct a multivariate control chart using the Multivariate Control Chart function .

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Thickness.jmp");
// Multivariate Control Chart
Multivariate Control Chart(
    Y(
        :Thickness 01, :Thickness 02,
        :Thickness 03, :Thickness 04,
        :Thickness 05, :Thickness 06,
        :Thickness 07, :Thickness 08,
        :Thickness 09, :Thickness 10,
        :Thickness 11, :Thickness 12
    ),
    T Square Partitioned( 1 ),
    Principal Components( 1 ),
    Set Alpha Level(
        0.00270000000000004
    )
);