Operations Management
2nd Edition
ISBN: 9781260484687
Author: CACHON, Gerard
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Chapter 9, Problem 7PA
Summary Introduction
To determine: The upper control limit while constructing an X-bar chart.
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A Quality Analyst wants to construct a control chart for determining whether three machines, all producing
the same product, are under control with regard to a particular quality variable. Accordingly, he sampled four
units of output from each machine, with the following results:
Machine
Measurements
#1
17
15
15
17
#2
16
25
18
25
# 3
23
24
23
22
What is the estimate of the process mean for whenever it is under control?
What is the sample average range based upon this limited sample?
What are the x-bar chart upper and lower control limits?
An automatic filling machine is used to fill 1-liter bottles of cola. The machine’s output is approximately normal with a mean of 1.0 liter and standard deviation of .01 liter. Output is monitored using means of samples of 25 observations.
Determine upper and lower control limits that will include roughly 97% of the sample means when the process is in control. Using Appendix B, Table A to find the value of Z corresponding to the mean control limits.
1.
The data shown in Table 1 are x and R values for 20 samples of size
n= 5 taken from a process producing bearings. The measurements are made on the
inside diameter of the bearing, with only the last three decimals recorded (i.e., 31.6
should be 0.50316). Please show all your work for full credit.
(a) Set up x and R charts on this process. Does the process seem to be in statistical
control? If necessary, revise the trial control limits.
(b) Assume that diameter is normally distributed. Estimate the process standard
deviation.
Sample
R
Sample
R
1
31.6
4
11
29.8
4
33.0
3
12
34.0
4
35.0
4
13
33.0
10
4
32.2
4
14
34.8
4
5
33.8
38.4
31.6
15
35.6
7
3
16
30.8
7
4
17
33.0
5
8
36.8
10
18
31.6
3
9.
35.0
15
19
28.2
9
10
34.0
6
20
33.8
Table 1: Bearing Diameter Data
Chapter 9 Solutions
Operations Management
Ch. 9 - Prob. 1CQCh. 9 - Prob. 2CQCh. 9 - Prob. 3CQCh. 9 - Prob. 4CQCh. 9 - Prob. 5CQCh. 9 - Prob. 6CQCh. 9 - Prob. 7CQCh. 9 - Prob. 8CQCh. 9 - Prob. 9CQCh. 9 - Prob. 10CQ
Ch. 9 - Prob. 11CQCh. 9 - Prob. 12CQCh. 9 - Prob. 13CQCh. 9 - Prob. 14CQCh. 9 - Prob. 15CQCh. 9 - Prob. 16CQCh. 9 - Prob. 17CQCh. 9 - Prob. 18CQCh. 9 - Prob. 1PACh. 9 - Prob. 2PACh. 9 - Prob. 3PACh. 9 - Prob. 4PACh. 9 - Prob. 5PACh. 9 - Prob. 6PACh. 9 - Prob. 7PACh. 9 - Prob. 8PACh. 9 - Prob. 9PACh. 9 - Prob. 10PACh. 9 - Prob. 11PACh. 9 - Prob. 12PACh. 9 - Prob. 2.1CCh. 9 - Prob. 2.2C
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- A process considered to be in control measures an ingredient in ounces. A quality inspector took 10 samples, each with 5 observations as follows: Using this information, obtain three-sigma (i.e., z=3) control limits for a mean control chart and control limits for a range chart, respectively. It is known from previous experience that the standard deviation of the process is 1.36. Discuss whether the process is in control or not.arrow_forwardThe overall average on a process you are attempting to monitor is 60.0 units. The process population standard deviation is 1.72. Sample size is given to be 4. Part 2 a) Determine the 3-sigma x-chart control limits. Upper Control Limit (UCLx)=enter your response here units (round your response to two decimal places). Part 3 Lower Control Limit (LCLx)=enter your response here units (round your response to two decimal places). Part 4 b) Now determine the 2-sigma x-chart control limits. Upper Control Limit (UCLx)=enter your response here units (round your response to two decimal places). Part 5 Lower Control Limit (LCLx)=enter your response here units (round your response to two decimal places). Part 6 How do the control limits change? A. The control limits are tighter for the 3-sigma x-chart than for the 2-sigma x-chart. B. The control limits for the 2-sigma x-chart and for the 3-sigma x-chart are the same. C. The control limits…arrow_forwardYou are an analyst for a company that produces parts for medical devices, and these parts must meet specifications required by your customer. You implement a process improvement to decrease the variation in diameter for one of the parts, and want to determine if the process improvement had any effect. What type of control chart would be most appropriate to determine if the process improvement did in fact reduce variation in the output of the process? Group of answer choices a X-bar b R c P d C e Cpkarrow_forward
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