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Heidi Wiesenfelder -
N Nayab -
Bruce Tyson
Guide to Control Charts for Six Sigma
The control chart is perhaps the tool most directly associated with Six Sigma and DMAIC. This specialized chart allows you to view your data over time and differentiate special cause and common cause variation. With this information you can determine how your process is likely to perform if left alone, and what methods to use to improve it. Our guide leads you to articles about basic individuals control charts and how to interpret them, as well as to information about more advanced control charts such as the p, np, c and u charts. We even cover specialty control charts such as X-bar/R charts and EWMA charts.
| Six Sigma Data Types
Much of the power of Six Sigma lies in the use of statistical and graphical tools such as control charts. Learn about the different data types so you can properly choose the type of... |
Types of Control Charts
The most basic type of control chart, the individuals chart, is often used for all types of data. Yet often more specialized types of control charts can provide more valuable information... |
| Introduction to Control Charts
Control charts are a popular and very useful tools in Six Sigma projects and process management. Learn what they are and how they are used and see an example of a control chart.... |
Difference Between 2 Sigma vs 3 Sigma Control Charts
Two-sigma limits and three-sigma limits are indicators of measurement accuracy used in control charts. When comparing 2 sigma vs 3 sigma control charts, 3 sigma control charts help... |
| X-Bar/Range Control Charts
Control charts provide information about process performance and variation, and allow business leaders to identify special cause variation and process capability. Use X-bar/R control... |
Types of Attribute Control Charts
In addition to the individuals chart, a general-purpose chart for all types of data, there are specific types of attribute control charts. These charts provide more power in detecting... |