The points vary randomly around the center line and are within the control limits. No trends or patterns are shown. The strength of the plastic product is stable across the 20 subgroups.
Plots the process mean over time for variables data in subgroups. This control chart is widely used to examine the stability of processes in many industries. For example, you can use Xbar charts to examine the process mean for subgroups of part lengths, call times, or hospital patients' blood pressure over time.
Consider the below Xbar chart. A plastic manufacturer wants to assess if its production process is in control for one of its new products. They sample 5 products every hour for 20 hours and assess the strength of the plastic.
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The points vary randomly around the center line and are within the control limits. No trends or patterns are shown. The strength of the plastic product is stable across the 20 subgroups. |
Before you interpret the Xbar chart, examine the process variation using a R or S chart. The process variation must be in control to correctly interpret the Xbar chart because the control limits of the Xbar chart are calculated considering both process spread and center. If the R or S chart is out of control, then the control limits on the Xbar chart may be inaccurate and may falsely indicate an out-of-control condition.