Problems 1. The Perfect Circle Company manufactures bushings. Once each hour a sample
of 125 finished bushings is drawn from the output; each bushing is examined
by a technician. Those which fail are classified as defective; the rest are
satisfactory. Here are data on ten consecutive samples taken in one week: | Sample no. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | Defective | 15 | 13 | 16 | 11 | 13 | 14 | 20 | 25 | 30 | 45 |
- What type of control chart should be used here?
- What is the centerline of the chart?
- What is the lower control limit (LCL)? The upper control I?
- What statistic should be plotted on the control chart for?
- Draw the control chart on a piece of graph paper.
- Is this system under control?
- What should the quality control engineer do?
2. Use the data in Problem #1 in this problem. Assume that an assignable cause
has been found for Sample #10 and has been corrected. - What is the value of the centerline of the revised control chart?
- What is the lower control limit of the revised chart?
- What is the upper control limit of the revised chart?
- Compare the revised control chart to the original control chart.
3. The Take-Charge Company produces batteries. From time to time a random sample
of six batteries is selected from the output and the voltage of each battery
is measured, to be sure that the system is under control. Here are statistics
on 16 such samples. | Sample | Mean | Range | | Sample | Mean | Range | | 1 2 3 4 5 6 7 8 | 4.99 4.87 4.85 5.26 5.09 5.02 5.13 5.09 | 0.41 0.57 0.59 0.74 0.74 0.21 0.56 0.92 | | 9 10 11 12 13 14 15 16 | 5.01 5.19 5.40 5.15 5.00 4.89 4.99 5.05 | 0.49 0.56 0.44 0.63 0.35 0.45 0.54 0.33 |
- What type of control chart should be used here? Why?
- What is the centerline of the chart?
- What is the lower control limit? The upper control limit?
- What statistic should be plotted on the control chart for each sample?
- Draw the control chart on a piece of graph paper.
- s this system under control?
- What should the quality control engineer do?
4. Use the data in Problem 3 to draw an R chart. - What is the lower control limit? The upper control limit?
- What statistic should be plotted on the control chart for each sample?
- Draw the control chart on a piece of graph paper.
- Is this system under control?
- What should the quality control engineer do?
5. Assume that an assignable cause has been found and corrected for sample
# 11 in Problem 3. - What is the value of the centerline of the revised control chart?
- What is the lower control limit of the revised chart? The upper control
Limit?
- Compare the revised control chart to the original control chart.
6. Tinker Belle Peanut Butter is sold in .50 kilograms jars. The plant produces
thousands of jars of peanut butter per working day; the process is rather simple
and quite standardized, and is thought to be highly stable, with a standard
deviation of .016 kg. Management has specified that the jars should fall between
.446 kg and .554 kg. - What is the process capability index?
- Is this process capable?
7. Occasionally, a random sample of five jars of Tinker Belle Peanut Butter (see
problem #6) is selected from the output and weighed, to be sure that the system
is under control. Here are data on ten such samples. Measurements are in kilograms.
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | | .50 | .50 | .50 | .51 | .51 | .51 | .50 | .50 | .51 | .50 | | | .47 | .48 | .49 | .51 | .50 | .50 | .51 | .52 | .48 | .51 | | | .50 | .48 | .51 | .52 | .49 | .52 | .49 | .47 | .50 | .49 | | | .49 | .48 | .47 | .51 | .52 | .51 | .50 | .49 | .49 | .50 | | | .51 | .47 | .49 | .51 | .50 | .51 | .48 | .49 | .50 | .47 | | Total | 2.47 | 2.41 | 2.46 | 2.56 | 2.52 | 2.55 | 2.48 | 2.47 | 2.48 | 2.47 |
- What type of control chart should be used here? Why?
- What is the centerline of the chart?
- What is the lower control limit? The upper control limit?
- What statistic should be plotted on the control chart for each sample?
- Draw the control chart on a piece of graph paper.
- Is this system under control?
- What should the quality control engineer do?
8. (One step beyond. Use Table D in this study guide.) Use the data in Problem
6 to construct an R chart. - What is the lower control limit? The upper control limit?
- What statistic should be plotted on the control chart for each sample?
- Draw the control chart on a sheet of graph paper.
- Is this system under control?
- What should the quality control engineer do?
9. The Poseidon Fabric Co. produces large beach towels (among other things):
they are supposed to be brightly colored and have a fringe on each end. From
time to time, a towel is selected from the finished goods and subjected to an
intense inspection in search of any and all defects. A defect is a stain, a
badly dyed spot, a hole, a missing fringe, etc., each occurrence counts as a
distinct defect. Here are data on 12 sample towels. | Towel | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | | Number of defects | 2 | 1 | 3 | 0 | 1 | 4 | 0 | 1 | 3 | 2 | 3 | 1 |
- What type of control chart should be used here? Why?
- What is the centerline of the chart?
- What is the lower control limit? The upper control limit?
- What statistic should be plotted on the control chart for each sample?
- Draw the control chart on a piece of graph paper.
- Is this system under control?
- What should the quality control engineer do?
10. Here is an x-bar chart with 20 sample means plotted on it. Use this chart
to perform a test for runs above and below the centerline. See next page. - What is the expected number of runs?
- What is the standard deviation of the number of runs?
- What is the actual number of runs?
- What is the z-statistic?
- What are the critical values of z for 95 percent?
- Is this process under control? Explain.
30 UCL | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | · | | | | | | | | | | | | | | | · | | | | | | | | | · | · | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | -- | 20 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | · | | | | | | | | · | | | | · | | · | | · | | | | · | | · | | · | | | | | | · | | | · | · | | | | | | | | | | · | | | | · | | | | | | | | | | | · | | · | | | | | | | | | | | | | 10 | · | | | | | | | | | | | | | | | | | | | | |
LCL Solutions 1. a. Use the p chart. This is attribute data with the categories of satisfactory
and defective bushings.
b.
Image248 (1.0K)Image248
.
c.
Image249 (1.0K)Image249
. Image250 (1.0K)Image250 Image251 (1.0K)Image251
d. | Sample No. | Statistic (p) | | Sample No. | Statistic (p) | | 1 | 16/125 = 12% | | 6 | 11.2% | | 2 3 4 5 | 10.4 12.8 8.8 10.4 | | 7 8 9 10 | 16.0 20.0 24.0 36.0 |
e. 26.03 UCL | | | | | | | | | | | · | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | · | | | | | -- | 16.16 | | | | | | | | | | | | | | | | | | | | | | | · | | | | | | | | | · | | · | | | | | | | | | | | | | | · | | | · | · | | | | | | | | | | | | | · | | | | | | | | | | 6.29 | | | | | | | | | | | | | |
LCL f. No. Sample #10 falls above the UCL.
g. He should look for an assignable cause for sample #10. 2. a. The revised centerline will be obtained by deleting sample #10 and recalculating
the value of
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on the basis of the remaining nine samples.
revised
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b. Revised
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Revised
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Revised
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c. The revised control limits have lower values than the original control limits,
and they are slightly closer to the centerline. 3. a. Use the x-bar chart; this is measurement data.
b.
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v.
(k = the number of samples)
c. Because the value of the population standard deviation is unknown, use
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and the A2 control chart factor. Image259 (1.0K)Image259
v. Image260 (1.0K)Image260
v. Image261 (1.0K)Image261
v.
d. The sample mean.
e. UCL | | | | | · | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | · | | · | | | | | | | | | | | | | | · | | | | | · | | | | | -- | | | | | | · | | | | | | | | | | | · | | | | | | | | · | | · | | | | | · | | | | | | · | | | | | | | | | | | | | | · | | | | | | | | | | | | | | | | | | | | | | | · | · | | | | | | | | | | | · | | | | | | | | | | | | | | | | | | | | |
LCL f. No, sample #11 is out of control.
g. He should look for an assignable cause for sample #11.
4. a. Because s is unknown, use
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and the factors, D3 and D4 from the Table of Control Chart
Factors. Image263 (1.0K)Image263
v. Image264 (1.0K)Image264
v.
b. The sample ranges.
c. UCL
| | | | | | | | | · | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | · | · | | | | | | | | | | | | | | | | · | | | | | | | | | · | | | | | -- | | | · | | | | | · | | · | · | | | | | · | | | | · | | | | | | | | | | · | | | · | | | | | | | | | | | | | | | | | · | | | · | | | | | | | | · | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
LCL d. Yes.
e. No action is needed. 5. a.
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v. b. LCL = 5.03 - .48(.53) = 4.78 v.
UCL = 5.03 + .48(.53) = 5.28 v.
c. The new control limits are lower but are still the same distance from the
centerline. 6.a.
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(upper specification - lower specification/
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= (.554 - .446)/6(.016) = 1.125.
b. Yes, but not by much. 7. a. Use the x-bar chart; this is measurement data. b. Image268 (1.0K)Image268 kg. c. Because the value of the population standard deviation is known, find
the standard error of the sample means and use z = ±3s.
Image269 (1.0K)Image269
kg. Image270 (1.0K)Image270
kg. Image271 (1.0K)Image271
kg. d. The sample mean. Here are the first few.
Sample No. Mean
1
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kg.
2
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kg. e. UCL LCL
f. Yes.
g. No action is necessary.
8. a. Because
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is known, use the factors, D1 and D2, from the Table
of Control Chart Factors in this Study Guide.
Image275 (1.0K)Image275
kg. Image276 (1.0K)Image276
kg. b. Plot the ranges. Here are the first few of them.
Sample No. Range (R)
1
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kg.
2
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kg. c. UCL LCL d. Yes.
e. No action is necessary. 9. a. Use a c-chart, because the data consists of the number of defects per
unit; a unit is a towel.
b.
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defects per towel
c.
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.
d. The number of defects per towel. e. UCL | | | | | | | | | | | | | | | | | | | | | | | · | | | | | | | | | | | | | | | | | | | | | | | | | -- | | | | · | | | | | | · | | · | | | | | | · | | | | | | | | | · | | | | | | | | · | | | · | | | · | | | | · | | | | | | | | | | | | | | | | | | | | | | | | · | | | · | | | | | | | |
LCL f. Yes.
g. No action is necessary. 10. a.
Image282 (1.0K)Image282
runs
(N = the number of samples)
b.
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runs
c. r = 5 runs.
d.
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e. z = ±1.96.
f. No; -2.75 < - 1.96. |