628 CHAPTER 16 STATISTICAL QUALITY CONTROLThese control limits are based on the normal approximation to the Poisson distribution.
When is small, the normal approximation may not always be adequate. In such cases, we
may use control limits obtained directly from a table of Poisson probabilities. If is small,
the lower control limit obtained from the normal approximation may be a negative number.
If this should occur, it is customary to consider zero as the lower control limit.EXAMPLE 16-5 Printed circuit boards are assembled by a combination of manual assembly and automation. A
flow solder machine is used to make the mechanical and electrical connections of the leaded
components to the board. The boards are run through the flow solder process almost continu-
ously, and every hour five boards are selected and inspected for process-control purposes. The
number of defects in each sample of five boards is noted. Results for 20 samples are shown in
Table 16-5.
The center line for the Uchart isand the upper and lower control limits areThe control chart is plotted in Fig. 16-17. Because LCLis negative, it is set to 0. From the con-
trol chart in Fig. 16-17, we see that the process is in control. However, eight defects per group
of five circuit boards are too many (about 8 5 1.6 defects/board), and the process needs
improvement. An investigation needs to be made of the specific types of defects found on the
printed circuit boards. This will usually suggest potential avenues for process improvement.Computer software also produces aCchart.This is just a control chart of C, the total of
defects in a sample. The points, center line, and control limits for this chart are just multiplesLCLu 3
Bu
n1.6^3 B1.6
50UCLu 3
Bu
n1.6^3 B1.6
5
3.3u1
20 a20i 1ui32
201.6uTable 16-5 Number of Defects in Samples of Five Printed Circuit Boards
Number of Defects per Number of Defects per
Sample Defects Unit ui Sample Defects Unit ui
1 6 1.2 11 9 1.8
2 4 0.8 12 15 3.0
3 8 1.6 13 8 1.6
4 10 2.0 14 10 2.0
5 9 1.8 15 8 1.6
6 12 2.4 16 2 0.4
7 16 3.2 17 7 1.4
8 2 0.4 18 1 0.2
9 3 0.6 19 7 1.4
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