Xbar-Range (Xbar-R) Chart

Learn how to use this combined view to track variation across across a single characteristic—and pinpoint issues at a glance.

Xbar-R Charts for a Single Characteristic

An Xbar-R chart is a quality control chart used to plot subgroup means and ranges of individual values from a single characteristic on a given part that were all produced on the same machine. A traditional Xbar-R chart is a single stream of data for a unique Part/Process/Test combination.

For example, this chart (taken from InfinityQS^® ProFicient™ software) shows 20 subgroups. The highlighted section shows that both the average and range plot points for subgroup 8 are well within control limits. Judging from the control chart as a whole, this process is consistent (no plot points fall outside control limits) and only common cause variation is present.

Scroll down to learn how to use this chart.

Xbar and r Charts for a Single Characteristic

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When to Use the Xbar-R Chart

Use the Xbar-R chart when the sample size is between 2 and 9 (typically 3 or 5). This chart is often used when at least a few parts are made every hour and you can collect data at a reasonable cost.

The special use examples discussed for this chart all deal with sample sizes between 2 and 9.

Advantages

Easy to read and understand
Widely recognized; operates on principles that serve as the foundation for more advanced control charts
Separates variation in averages from variation in standard deviation

Disadvantages

Must use a separate chart for each characteristic
Only two values per subgroup are used to estimate the standard deviation for the range, regardless of sample size
Cannot be used to accurately indicate process variability for sample sizes greater than 9

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x bar chart

Target Xbar-R Chart

Target Xbar-R charts can help you identify changes in the average and range of averages of a characteristic. You can measure the characteristic across part numbers, but each part number must form a separate subgroup because target values change with the part number. Set the target values at the desired center, typically the center two-sided specifications.

Plot multiple parts, characteristics, or specs on the same chart, as long as variability is similar across all parts, characteristics, or specifications.
Plot data from gauges that are zeroed out on target values without needing to code or transform the data.
Assess statistical control for both the part (or characteristic) and the process.

See an Example Use Case

xbar and r chart formula

Short Run Xbar-R Chart

Short run charts are used for short production runs. The short run Xbar-R chart can help you identify changes in the averages and range of averages of multiple characteristics, even those with different nominals, units of measure, or standard deviations.

Use one chart to detect variations across multiple process or product characteristics, even for parts that have different means, units of measure, or standard deviation.
Identify characteristics that should be prioritized for attention.
Easily separate process- and product-specific variations as well as variations that are caused by changes in a subgroup mean and those that are caused by changes in the standard deviation.

See an Example Use Case

xbar and r interpretation of charts

Group Xbar-R Chart

Group Xbar-R charts help you assess changes in averages and the range of averages across measurement subgroups for a characteristic.

Easily identify characteristics that need priority attention.
Easily separate process- and product-specific variations as well as variations that are caused by changes in a subgroup mean and those that are caused by changes in the standard deviation.
Track multiple characteristics on the same chart.

See an Example Use Case

the difference between xbar and r chart

Group Target Xbar-R Chart

The group target Xbar-R chart provides information about changes in process averages and the range of averages across multiple measurement subgroups of similar characteristics that have a common process. Part numbers and engineering nominal values can differ across these characteristics.

Track multiple characteristics or similar characteristics with different averages on the same chart.
View both product and process characteristic variations.
See the difference between variations that are caused by changes in average and those caused by changes in the standard deviation.

See an Example Use Case

Group Short Run Xbar-R Chart

When you need to evaluate changes in the process average and range of averages across multiple characteristics in a short run environment, use the group short run Xbar-R chart.

See the variations of multiple process or product characteristics on one chart, even within short production runs.
Analyze characteristics from multiple parts with different means, standard deviations, and units of measure.
Easily separate process- and product-specific variations as well as variations that are caused by changes in a subgroup mean and those that are caused by changes in the standard deviation, even in short run environments.

See an Example Use Case

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