Free Webinar: Quality Metrics: What You Need to Know

By InfinityQS Blog
May 6th, 2013

May 15, 2013 at 2:00 pm EDT 

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Modifying Control Chart Sensitivity

By Doug Fair
August 1st, 2011

Control limits are typically set at +/- 3 standard deviations for the statistic being plotted. That‘s how traditional Shewhart control charts have been constructed for nearly a century.

Control Charts: Which One Should I Use? Part II

By Steve Wise
July 21st, 2011

Selecting the right control chart starts by knowing something about what you want the chart to say about the process – what questions do you want the chart answer?

Control Charts: Which One Should I Use?

By Steve Wise
July 18th, 2011

Control charts, ushered in by Walter Shewhart in 1928, continue to provide real-time benefits in today’s most modern factories. When first introduced, there were seven basic types of control charts, divided into two categories: variable and attribute. 

The Tabular Cumulative Summation (CUSUM) Chart

By Doug Fair
June 30th, 2011

Dr. Shewhart’s original control charts have been around for nearly 100 years. Since then, many different quality control texts have been written which highlight modifications to his techniques. Most of these enhancements have been born of the need to better support modern manufacturing methods and challenges.

Dr. Douglas Montgomery: A Sampling of His Expertise

By InfinityQS Blog
June 14th, 2011

We recently announced that Dr. Douglas Montgomery will be the Keynote speaker at our fifth annual user conference, Infusion 2011, on October 16-19 in San Francisco. 

Video: The ROI of an SPC Software Solution

By Steve Wise
April 11th, 2011

In February, I gave a presentation to attendees of the Pacific Design & Manufacturing Show. This event took place in Anaheim, CA and attracted manufacturing professionals from thousands of companies. My presentation was titled "Quality Management Strategies that Slash Costs and Reduce Waste".

Here is a video recording of my presentation:

It's Out of Control

By Rick Sloop
March 23rd, 2011

In my last blog, we discussed the importance of using control limits that are calculated from a true measure of the process variation. Now that we have the correct limits, we can use them to monitor the process behavior.