Quality and Process Methods • Control Chart Builder • Overview of the Control Chart Builder

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Overview of the Control Chart Builder
A control chart is a graphical way to filter out routine variation in a process. Filtering out routine variation helps manufacturers and other businesses determine whether a process is stable and predictable. If the variation is more than routine, the process can be adjusted to create higher quality output at a lower cost.
This version of JMP continues a shift in the approach to control charts. We are moving toward an all-in-one, interactive workspace called the Control Chart Builder. The Control Chart Builder enables you to create several types of control charts (Shewhart Variables, Shewhart Attribute, and Rare Event) and is intended to be an interactive tool for problem solving and process analysis. Shewhart control charts are broadly classified into control charts for variables and control charts for attributes. Rare event charts are useful for events that occur so infrequently that a traditional chart is inappropriate.
To use Control Chart Builder, you do not need to know the name of a particular chart beforehand. When you drag a data column to the workspace, Control Chart Builder creates an appropriate chart based on the data type and sample size. Once the basic chart is created, use the menus and other options to:
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Change the type of chart. You can switch between Attribute, Variables, and Rare Event charts without relaunching the platform.
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Change the statistic on the chart. You can add, remove, and switch variables without relaunching the platform.
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Format the chart and create subgroups that are defined by multiple X variables.
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Add additional charts, including three-in-one charts: subgroup means, within-subgroup variation, and between-subgroup variation.

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Help created on 3/19/2020