CHAPTER 27 ⢠Statistical Process Control
CHAPTER 27 ⢠Statistical Process Control
CHAPTER 27 ⢠Statistical Process Control
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<strong>27</strong>-46 <strong>CHAPTER</strong> <strong>27</strong> • <strong>Statistical</strong> <strong>Process</strong> <strong>Control</strong><br />
(c) Explain why a p chart is of no use at such high levels of<br />
quality.<br />
<strong>27</strong>.54 Manufacturing isn’t everything. Because the manufacturing<br />
quality in the previous exercise is so high, the<br />
process of writing up orders is the major source of quality<br />
problems: the defect rate there is 9000 per million opportunities.<br />
The manufacturer processes about 600 orders per<br />
month.<br />
(a) What is p for the order-writing process? How many defective<br />
orders do you expect to see in a month?<br />
(b) What are the center line and control limits for a p chart<br />
for plotting monthly proportions of defective orders? What is<br />
the smallest number of bad orders in a month that will result<br />
in a point above the upper control limit?<br />
Table <strong>27</strong>.9 gives process control samples for a study of response<br />
times to customer calls arriving at a corporate call center. A sample<br />
of 6 calls is recorded each shift for quality improvement purposes.<br />
The time from the first ring until a representative answers the call<br />
is recorded. Table <strong>27</strong>.9 gives data for 50 shifts, 300 calls total. 16<br />
Exercises <strong>27</strong>.55 to <strong>27</strong>.57 make use of this setting.<br />
TABLE <strong>27</strong>.9 Fifty control chart samples of call center response times<br />
(seconds)<br />
SAMPLE STANDARD<br />
SAMPLE TIME MEAN DEVIATION<br />
1 59 13 2 24 11 18 21.2 19.93<br />
2 38 12 46 17 77 12 33.7 25.56<br />
3 46 44 4 74 41 22 38.5 23.73<br />
4 25 7 10 46 78 14 30.0 <strong>27</strong>.46<br />
5 6 9 122 8 16 15 29.3 45.57<br />
6 17 17 9 15 24 70 25.3 22.40<br />
7 9 9 10 32 9 68 22.8 23.93<br />
8 8 10 41 13 17 50 23.2 17.79<br />
9 12 82 97 33 76 56 59.3 32.11<br />
10 42 19 14 21 12 44 25.3 14.08<br />
11 63 5 21 11 47 8 25.8 23.77<br />
12 12 4 111 37 12 24 33.3 39.76<br />
13 43 37 <strong>27</strong> 65 32 3 34.5 20.32<br />
14 9 26 5 10 30 <strong>27</strong> 17.8 10.98<br />
15 21 14 19 44 49 10 26.2 16.29<br />
16 24 11 10 22 43 70 30.0 22.93<br />
17 <strong>27</strong> 10 32 96 11 29 34.2 31.71<br />
18 7 28 22 17 9 24 17.8 8.42<br />
19 15 14 34 5 38 29 22.5 13.03<br />
20 16 65 6 5 58 17 <strong>27</strong>.8 26.63<br />
21 7 44 14 16 4 46 21.8 18.49<br />
22 32 52 75 11 11 17 33.0 25.88<br />
23 31 8 36 25 14 85 33.2 <strong>27</strong>.45<br />
24 4 46 23 58 5 54 31.7 24.29<br />
25 28 6 46 4 28 11 20.5 16.34<br />
26 111 6 3 83 <strong>27</strong> 6 39.3 46.34<br />
<strong>27</strong> 83 <strong>27</strong> 2 56 26 21 35.8 28.88<br />
28 <strong>27</strong>6 14 30 8 7 12 57.8 107.20<br />
29 4 29 21 23 4 14 15.8 10.34<br />
30 23 22 19 66 51 60 40.2 21.22<br />
31 14 111 20 7 7 87 41.0 45.82<br />
32 22 11 53 20 14 41 26.8 16.56