Vol. 9, No. 5

May 2007

PQ Systems

New CHARTrunner release

Quality Quiz: With a video!

Data in everyday life

Six Sigma

Bytes and pieces

FYI: Current releases


Send Quality eLine
to a friend!

Just type in your friend's email below:


Sign up
If you received this newsletter from a friend and want your own subscription to Quality eLine, click below.

Subscribe to Quality eLine




New CHARTrunner release:
control chart summary saves time, enhances analysis

A new release of CHARTrunner makes it easy to find and display only the most problematic charts among many charts being monitored.

CHARTrunner saves time by sifting through and thinking about countless charts, then focusing attention on the few that present problems or opportunities.

Also featured in this release is the Cpk Advisor. Since capability analysis can be confusing, this feature provides statistics, interpretation, and guidance for a capability study within the application, in an easy-to-read text format, customized for specific data, with the click of a button.

Other features of the newest release include t-charts and g-charts, according to PQ Systems development manager Steve Daum. These charts facilitate analysis of rare events. Some events do not occur frequently but nonetheless have a significant impact on quality. For example, a hospital may rarely have an outbreak of a particular infection. While charting this data with traditional control charts may not provide useful information, t-charts and g-charts specialize in this situation. These charts allow users to visualize this unusual data in a familiar, easy-to-understand, control chart format.

CHARTrunner, developed by the creators of the best-selling SQCpack, reads data that resides in Access, Excel, SQL Server, Oracle, and virtually all other data sources and instantly creates SPC charts, making data immediately available for analysis and supporting Six Sigma efforts.

In CHARTrunner, charts are always fresh, since CHARTrunner links to the most current data. The program facilitates data mining, to bring specific business processes into focus, and since data resides in its familiar native format, the user avoids complex importing or repetitive data entry.


Copyright 2007 PQ Systems.
Please direct questions or problems regarding this web site to the Webmaster.