Shewhart Control Charts

Create Variable and Attribute Control Charts

A control chart is a graphical and analytic tool for monitoring process variation. The natural variation in a process can be quantified using a set of control limits. Control limits help distinguish common-cause variation from special-cause variation. Typically, action is taken to eliminate special-cause variation and bring the process back in control. It is also important to quantify the common-cause variation in a process, as this determines process capability.

The Control Chart platform in JMP provides a variety of control charts, as well as run charts. To support process improvement initiatives, most of the control chart options display separate control charts for different phases of a project on the same chart.

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Run Chart

•	X-, R-, and S-charts

•	Individual and Moving Range Charts

•	p-, np-, c-, and u-charts

•	UWMA and EWMA Charts

•	CUSUM Charts

•	Presummarize, Levey-Jennings, and Multivariate Control Charts

•	Phase Control Charts for X-, R-, S-, IR-, p-, np-, c-, u-, Presummarize, and Levey-Jennings Charts.

Control Chart Example

Technically Speaking – Using Statistical Process Controls to Improve and Monitor Your Process
Learn about the benefits of statistical process control, and watch a case study that demonstrates how SPC can be used to reduce variation and improve production processes.

Contents

Overview of the Control Chart Platform

Example of the Control Chart Platform

Shewhart Control Chart Types

Launch the Control Chart Platform

Process Information

Chart Type Information

Limits Specifications

Specified Statistics

The Control Chart Report

Control Chart Platform Options

Control Chart Window Options