Discover the most popular quality control charts and how to use them.
For manufacturers who use statistical process control (SPC) or are engaged in continuous process improvement activities, SPC control charts are powerful tools for assessing and improving process quality. Control charts provide immediate, real-time indications of significant changes in manufacturing processes that warrant a root-cause analysis or other investigation.
With InfinityQS® software, you get access to more than a few traditional control charts. From standard control chart options for high-speed production to managing short runs and large numbers of part features, InfinityQS software offers a huge variety of configurable control charting options to help manage your biggest challenges.
Although many different types of SPC charts exist, selecting the most appropriate chart for your situation should not be overwhelming. Let InfinityQS help. Our highly configurable control charts will ensure that you have the best control chart for detecting the right type of variation, resulting in reduced defects and greater process consistency.
In addition, our software solutions automate and simplify chart use to help you get actionable information from your quality data.
In the pages of this online guide, you’ll find examples of the most popular SPC control charts and analytic displays and learn how they can help you better understand your processes and optimize performance.
For further guidance, download our free resource, A Practical Guide to Selecting the Right Control Chart.
Today’s manufacturing environments produce an ever-increasing amount of data. With support for automated and semi-automated data collection, using statistical process control through SPC-based Quality Intelligence software makes sense and can help reduce or eliminate the potential for human error.
With InfinityQS, implementing SPC software has never been easier—or more affordable.
Charts the actual reading and the absolute difference between two consecutive plot points.
Plots the average of individual values in a subgroup.
Plots the average and the sample standard deviation of individual values in a subgroup.
What to Expect