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This procedure generates Levey-Jennings control charts on single variables. The Levey-Jennings control chart is a special case of the common Shewart Xbar . The Levey-Jennings chart was created in the s to answer questions about the quality and consistency of measurement systems in the. The Levey-Jennings chart usually has the days of the month plotted on the X-axis and the control observations plotted on the Y-axis. On the right is the Gaussian.

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While it is possible to prepare both charts on a single sheet, this may reduce the readability of the control charts. Laboratory quality control material charg usually run at the beginning of each shift, after an instrument is serviced, when reagent lots are changed, after calibration, and whenever patient results seem inappropriate.

Control status will be judged by either the 1 2s or 1 3s rule. When the control values fall outside the expected distribution, you classify the run as ” out-of-control, ” reject the test values, and do not report patient test results.

You can start the chart with as little as six points. The Cchart, the Bad, and the Ugly. A mark is made indicating how far away the actual result was from the mean which is the expected value for the control. The individuals control chart uses an estimated standard deviation from the range chart to determine the control limits.

Basic QC Practices

In addition it will describe how to quantify the actual resolution of your measurements. While the data in figure 5 are recorded to the nearest 5 megohms, they are only good to the nearest megohms.

Citizen Satisfaction Rebounds in Jenninys chart for additional resistivity measurements of chatr 5. To remedy this weakness the Levey-Jennings chart was modified in by the addition of some additional criteria for detecting problems. In this example, it is the standard deviation of the results.


The red points in the chart above are “out of control. Think of the mean of the distribution in figure 8 as the value of an item being measured, and let the distribution represent a series of repeated measurements of that item.

Continue plotting the 2 control values per day and interpreting those results. Each test is designed to send a signal that something in the lab test has shifted. Control charts prevents unnecessary process adjustments; provides information about process capability; provides diagnostic information and it is a proven technique for improving productivity. From these data, the means and standard deviations were calculated to be:. The mean and one, two, and three standard deviation limits are also marked on the Y-axis.

One difference is the way that control limits are calculated. Thus, our three-sigma limits for the X chart are to and the upper limit for the range chart is Barry, co-author of Cost-Effective Quality Control: This exercise shows how to construct control charts manually using standard graph paper. How many digits should you record?

The dates of analyses are plotted along the X-axis and control values are plotted on the Y-axis. The formulation of Westgard rules were based on statistical methods.

QC: The Levey-Jennings Control Chart – Westgard

Interoperability is key to avoiding the manual steps and hand-offs that Industry 4. To illustrate this, the data of figure 5 have been rounded to the nearest megohms in figure Thus, even though the Levey-Jennings chart was created in the s, it was built upon a 19th century approach to analysis that was known to be unsatisfactory at the time!


Wheeler welcomes your questions. Copyright on content held by Quality Digest or by individual authors. This makes it easy to see how far off the result was.

Thus, we not only know that this measurement system is not producing consistent results, but we also have clear indications about when the changes occurred. The steps in constructing a Levey-Jennings chart are shown below. Scale and label x-axis. At the beginning of the 20th century we learned to avoid the use of global measures of dispersion when looking for potential signals within our data. Half the time these measurements will err by megohms or less, and half the time these measurements will err by megohms or more.

It will allow you to determine when extraneous factors influence your measurement process, so that you can identify them and control for their effects. Here is an example of a Levey-Jennings chart: This Week in Quality Digest Live. Linearity Variable Measurement Systems – Part 4: If you do not have graph paper available at this time, print out the lower resolution grids below.

To answer these questions we need to recap some of the history surrounding the problem of measurement error. Unfortunately, the 2 2s rule by itself is not very sensitive, therefore, it is better to use the 1 3s and 2 2s rules together in a multirule procedure to improve error detection while, at the same time, maintaining a low false rejection rate.

The rules applied to high volume chemistry and hematology instruments should produce low false rejection rates.

Two sets of control limits will be needed to implement the rules described above.