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Quality and Reliability Methods - SAS

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Chapter 3 Introduction to Control Charts 55<br />

What is a Control Chart?<br />

What is a Control Chart?<br />

A control chart is a graphical way to filter out routine variation in a process. Filtering out routine variation<br />

helps manufacturers <strong>and</strong> other businesses determine whether a process is stable <strong>and</strong> predictable. If the<br />

variation is more than routine, the process can be adjusted to create higher quality output at a lower cost.<br />

All processes exhibit variation as the process is measured over time. There are two types of variation in<br />

process measurements:<br />

• Routine or common-cause variation. Even measurements from a stable process exhibit these r<strong>and</strong>om ups<br />

<strong>and</strong> downs. When process measurements exhibit only common-cause variation, the measurements stay<br />

within acceptable limits.<br />

• Abnormal or special-cause variation. Examples of special-cause variation include a change in the process<br />

mean, points above or below the control limits, or measurements that trend up or down. These changes<br />

can be caused by factors such as a broken tool or machine, equipment degradation, <strong>and</strong> changes to raw<br />

materials. A change or defect in the process is often identifiable by abnormal variation in the process<br />

measurements.<br />

Control charts quantify the routine variation in a process, so that special causes can be identified. One way<br />

control charts filter out routine variation is by applying control limits. Control limits define the range of<br />

process measurements for a process that is exhibiting only routine variation. Measurements between the<br />

control limits indicate a stable <strong>and</strong> predictable process. Measurements outside the limits indicate a special<br />

cause, <strong>and</strong> action should be taken to restore the process to a state of control.<br />

Control chart performance is dependent on the sampling scheme used. The sampling plan should be<br />

rational, that is, the subgroups are representative of the process. Rational subgrouping means that you will<br />

sample from the process by picking subgroups in such a way that special causes are more likely to occur<br />

between subgroups rather than within subgroups.<br />

Parts of a Control Chart<br />

A control chart is a plot of process measurements over time, with control limits added to help separate<br />

routine <strong>and</strong> abnormal variation. Figure 3.2 describes the parts of a simple control chart.

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