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The full form of EWMA is exponentially moving average chart. In statistics exponentially moving average chart is used to monitor the data that extracts the averages in such a way that it gives less and less weight to data and is further removed in time. The data is analysed in such a manner that the recent samples are highly weighted while the samples which are distant tend to weight very little.
PROCEDURE FOR ESTABLISHING EXPONENTIALLY MOVING AVERAGE CHART CHARTS
Crowder used some steps to establish a procedure for establishing exponentially moving average chart on the basis of some computer calculations.
Step 1.First of all extract the RL that is the run length which should be extracted in in - control conditions.
Step 2. The next important major step is to extract the shift – sensitivity of the chart. On the basis of this calculation or extraction, the weighing facto namely ‘w’ is calculated from a graph.
Step 3.After calculating ‘w’ the factor for the control limits are determined.
Step 4. For the best overall performance a proper sensitivity analysis should be obtained.
SOME SPECIFICATIONS OF EXPONENTIALLY MOVING AVERAGE CHART
The exponentially moving average chart is based on the values of the variable x having a certain average. The ERWMA – S chart which is introduced by Mittag uses the concept of standard deviation. It also requires a correcting factor because some of the samples give biased estimation for the process of calculating the standard deviation. The greater ability of exponentially moving average chart is to detect small shifts for quality control. The major advantage of exponentially moving average chart is that it always represents a graphical result and therefore no discussion or steps are required for the improvement of the results. Consequently the quality control manager is provided with a full fledged data with non availability of errors. The effect is that he doesn’t have to check any variables again and again for the stability of the variables.
ASSUMPTIONS OF EXPONENTIALLY MOVING AVERAGE CHART
Many laboratory tests are taken in consideration and have been in discussion which have not clearly defined or evaluated by studies.
A small but constant shift shows the analytical problems .
WHEN TO USE EXPONENTIALLY MOVING AVERAGE CHART
It is used it when the weighting factors are decreased exponentially. The weighting factor is judged on the constant factor, a number between zero to one.
WHERE TO USE EXPONENTIALLY MOVING AVERAGE CHART
These charts are time based to show the history of the process. It is time ordered andis entered in a proper sequence from which it is generated.
HOW TO USE EXPONENTIALLY MOVING AVERAGE CHART
The main control of this chart is in the basis of the range. After the range is calculated , then the control limits of the chart works properly. After the control limits, the points are plotted on the chart for further extractions.
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