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282 Part IV: Quality AssuranceContinuedTable 19.6Number of nonconforming computer chips with different size samplesinspected each day during the study period of 30 days.Part IV.B.4Number ofNumber ofnonconformingnonconformingDay x Sample size Day x Sample size1 7 908 16 7 9622 11 986 17 11 9263 8 976 18 7 9174 7 991 19 9 9785 7 944 20 7 9616 5 906 21 6 9707 11 928 22 9 9058 5 948 23 9 9629 10 994 24 8 90010 8 960 25 11 99811 7 982 26 5 93512 6 921 27 6 97013 7 938 28 6 96714 10 1000 29 9 98315 6 982 30 8 976Thus, the p chart for the data in Table 19.6 is as shown in Figure 19.11.From Figure 19.11 we see that all of the points are well within the control limits andthat there is no apparent pattern or trend in the chart. Thus, the process is stable. Also,note that in Figure 19.10 we have a run of seven points that fall below the center linewhereas in Figure 19.11 there is no such run even though we are dealing with the sameprocess. Such differences are normal when samples are taken at different times.Continued
Chapter 19: B. Statistical Process Control 283Continuedp Chart for Nonconforming Computer Chips with Variable Sample Sizes0.0180.016UCL = 0.016750.014Proportion0.0120.0100.0080.006p – = 0.008130.0040.0020.0003 6 9 12 15 18 21 24 27 30SampleLCL = 0Figure 19.11p chart for nonconforming chips with variable sample sizes, using trialcontrol limits for the data in Table 19.6.The np Chart: Control Chart for Number of Nonconforming UnitsIn the np chart, we plot the number of nonconforming units in an inspectedsample instead of the fraction of nonconforming units in the inspected sample;otherwise the np chart is very similar to the p chart. However, note that in thep chart the sample sizes could be equal or unequal, whereas in the np chartthe sample sizes are equal. Otherwise, the p chart and np chart can be implementedunder the same circumstances. Following are some specific points thatare pertinent for np charts:• The inspection sample sizes should be equal.• The sample size should be large enough to include somenonconforming units.• Record the sample size and number of observed nonconformingin each sample, and plot the number of nonconforming on thecontrol chart.Part IV.B.4Control Limits for np Control ChartSelect m samples each of size n from the process under investigation and thendetermine the number of nonconforming units that exist in each sample. Let thenumber of nonconforming units found be denoted by x 1 , x 2 , x 3 , . . . , x m respectively.Then the control limits are found as follows.
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Chapter 19: B. Statistical Process Control 283
Continued
p Chart for Nonconforming Computer Chips with Variable Sample Sizes
0.018
0.016
UCL = 0.01675
0.014
Proportion
0.012
0.010
0.008
0.006
p – = 0.00813
0.004
0.002
0.000
3 6 9 12 15 18 21 24 27 30
Sample
LCL = 0
Figure 19.11
p chart for nonconforming chips with variable sample sizes, using trial
control limits for the data in Table 19.6.
The np Chart: Control Chart for Number of Nonconforming Units
In the np chart, we plot the number of nonconforming units in an inspected
sample instead of the fraction of nonconforming units in the inspected sample;
otherwise the np chart is very similar to the p chart. However, note that in the
p chart the sample sizes could be equal or unequal, whereas in the np chart
the sample sizes are equal. Otherwise, the p chart and np chart can be implemented
under the same circumstances. Following are some specific points that
are pertinent for np charts:
• The inspection sample sizes should be equal.
• The sample size should be large enough to include some
nonconforming units.
• Record the sample size and number of observed nonconforming
in each sample, and plot the number of nonconforming on the
control chart.
Part IV.B.4
Control Limits for np Control Chart
Select m samples each of size n from the process under investigation and then
determine the number of nonconforming units that exist in each sample. Let the
number of nonconforming units found be denoted by x 1 , x 2 , x 3 , . . . , x m respectively.
Then the control limits are found as follows.