9. p Chart example
This p chart shows the number of warped moldings in samples of 1000 items chosen during each shift, from one machine (#3). The output of different machines is not mixed because the differences between machines would mask the variation from any one of them. The first sample on this chart was taken at 6PM on March 7. Note that the control limits were calculated on data taken at least a month old. Presumably there were no major changes in the process during that time. Indications of lack of control for p charts are the same as for x-bar R charts. In this case, the process is in control until March 14, when there is a run of over 6 observations below the process average. The operator wrote "new lot 3/11 1400" to indicate a change in feedstock. The new lot of polyethelene may have caused a reduction in the number of non-conforming items. The p chart is strong evidence of the degree of reduction and its timing, especially if the trend continues. New control limits should be calculated using the next 30 samples. The exact cause of the reduction can be investigated.
Colorant changes have been recorded at the bottom of the chart. In this case a change to white on 3/11 could have affected the number of warped items found, however the change to green did not raise the rate of non-conforming items.
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