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Mar 20, 2017 6:38 AM
(1400 views)

What is the theory behind the Red Triangle Goal Plot in Process capability analysis?

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Mar 20, 2017 12:43 PM
(2735 views)

Solution

Here is the documentation taken from the Help screens one sees when you use the "?" tool and click on the Goal Chart.

I hope this is what you are looking for

The Goal Plot shows, for each variable, the spec-normalized mean shift on the x-axis, and the spec-normalized standard deviation on the y-axis.

It is useful for getting a quick, summary view of how the variables are conforming to specification limits. By default, the Goal Plot shows only t

hose points for each column that are calculated using the overall sigma. Hold your cursor over each point to view the variable name and the sigma

method used to calculate the point. See Goal Plot for details about the calculation of the coordinates for the Goal Plot.

Note: Process variables with distributions other than Normal are not plotted on the Goal Plot.

Goal Plot Points

Points on the Goal Plot correspond to columns, not rows. Selecting a point in the Goal Plot selects the corresponding column in the data table.

The points on the Goal Plot are also linked to the rows of the Goal Plot Summary Table, where each row corresponds to a column. You can select

a point in the Goal Plot, right-click, and apply row states. These row states are applied to the rows of the Goal Plot Summary Table. Row states that

you apply in the Goal Plot Summary Table are reflected in the Goal Plot. To see this table, select Make Goal Plot Summary Table from the Process C

apability red triangle menu. See Make Goal Plot Summary Table.

Tip: If you hide a point in the Goal Plot, you can show the point again by changing the corresponding row state in the Goal Plot Summary Table.

Goal Plot Triangle

The goal plot triangle appears in the center of the bottom of the Goal Plot. The slider beneath the plot enables you to adjust the size of goal triangle in the plot.

By default, the Ppk slider and the value beneath it are set to Ppk = 1. This approximates a non-conformance rate of 0.0027, if the distribution is normal. The

goal triangle represents the Ppk shown in the box. To change the Ppk value, move the slider or enter a number in the box.

JMP gives the Goal Plot in terms of Ppk values by default. You can change this preference at File > Preferences > Platforms > Process Capability.

When the AIAG (Ppk) Labeling preference is unchecked, all of the Ppk labeling is changed to Cpk labeling, including the label of the slider under the goal plot.

Jim

1 REPLY

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Mar 20, 2017 12:43 PM
(2736 views)

Here is the documentation taken from the Help screens one sees when you use the "?" tool and click on the Goal Chart.

I hope this is what you are looking for

The Goal Plot shows, for each variable, the spec-normalized mean shift on the x-axis, and the spec-normalized standard deviation on the y-axis.

It is useful for getting a quick, summary view of how the variables are conforming to specification limits. By default, the Goal Plot shows only t

hose points for each column that are calculated using the overall sigma. Hold your cursor over each point to view the variable name and the sigma

method used to calculate the point. See Goal Plot for details about the calculation of the coordinates for the Goal Plot.

Note: Process variables with distributions other than Normal are not plotted on the Goal Plot.

Goal Plot Points

Points on the Goal Plot correspond to columns, not rows. Selecting a point in the Goal Plot selects the corresponding column in the data table.

The points on the Goal Plot are also linked to the rows of the Goal Plot Summary Table, where each row corresponds to a column. You can select

a point in the Goal Plot, right-click, and apply row states. These row states are applied to the rows of the Goal Plot Summary Table. Row states that

you apply in the Goal Plot Summary Table are reflected in the Goal Plot. To see this table, select Make Goal Plot Summary Table from the Process C

apability red triangle menu. See Make Goal Plot Summary Table.

Tip: If you hide a point in the Goal Plot, you can show the point again by changing the corresponding row state in the Goal Plot Summary Table.

Goal Plot Triangle

The goal plot triangle appears in the center of the bottom of the Goal Plot. The slider beneath the plot enables you to adjust the size of goal triangle in the plot.

By default, the Ppk slider and the value beneath it are set to Ppk = 1. This approximates a non-conformance rate of 0.0027, if the distribution is normal. The

goal triangle represents the Ppk shown in the box. To change the Ppk value, move the slider or enter a number in the box.

JMP gives the Goal Plot in terms of Ppk values by default. You can change this preference at File > Preferences > Platforms > Process Capability.

When the AIAG (Ppk) Labeling preference is unchecked, all of the Ppk labeling is changed to Cpk labeling, including the label of the slider under the goal plot.

Jim