Definitive Guide to SPC Control Charts 

Discover the most popular quality control charts and how to use them.

What is an SPC Control Chart?

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.

Why Use SPC Control Charts for Quality Control?

SPC control charts are foundational quality control tools and figure prominently in Lean manufacturing and Six Sigma efforts. Control charts are used in a variety of ways, but on the shop floor, operators use them as a means of assessing, controlling, and ensuring the consistency of manufacturing processes. By controlling processes, operators can minimize significant process changes that can result in off-quality products.

The Right Control Chart for Every Situation

Your manufacturing situation is unique, so you need control charts that can manage the variety of products you make while reducing complexities that take up time in your work day.

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.

The Right SPC Control Charts for Every Situation

SPC Charts Explained

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.

SPC Chart Tools for Greater Analysis

Beyond the SPC Chart: See the Benefits of Modern SPC Software

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.

Think you can’t afford to automate SPC charts?

With InfinityQS, implementing SPC software has never been easier—or more affordable.

  What ROI can we expect from SPC software

SPC Control Charts

Select an SPC control chart to learn more about its use in traditional and special production situations.

Individual X and Moving Range (IX-MR) Chart

Individual X and Moving Range (IX-MR) Chart

Charts the actual reading and the absolute difference between two consecutive plot points.


Xbar and Range Chart

Xbar and Range Chart

Plots the average of individual values in a subgroup.

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Xbar and s Chart

Xbar and s Chart

Plots the average and the sample standard deviation of individual values in a subgroup.

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SPC Analytic Charts

Select an analytic chart to discover how it can provide insight for your SPC initiatives.
Histogram Chart


Plots distributions to provide a quick view of variations with a process.

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Pareto Chart


Provides a different way to visualize distributions and analyze problem or cause frequency.

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Box and Whisker Chart


Shows the shape of a distribution, including central value and variability.

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Capability / Performance Chart

Capability & Performance

Capability (Cp) and performance (Cpk) charts illustrate a process’s ability to meet specifications.

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