In: Operations Management
The following table contains the measurements of the key length dimension from a fuel injector. These samples of size five were taken at one-hour intervals. Use three-sigma control limits. Use Exhibit 10.13.
OBSERVATIONS |
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SAMPLE NUMBER | 1 | 2 | 3 | 4 | 5 |
1 | 0.465 | 0.494 | 0.493 | 0.511 | 0.472 |
2 | 0.471 | 0.501 | 0.505 | 0.484 | 0.515 |
3 | 0.472 | 0.493 | 0.516 | 0.493 | 0.528 |
4 | 0.475 | 0.501 | 0.495 | 0.494 | 0.492 |
5 | 0.481 | 0.498 | 0.523 | 0.457 | 0.485 |
6 | 0.472 | 0.496 | 0.502 | 0.495 | 0.505 |
7 | 0.494 | 0.502 | 0.494 | 0.471 | 0.504 |
8 | 0.505 | 0.499 | 0.486 | 0.472 | 0.487 |
9 | 0.472 | 0.501 | 0.507 | 0.504 | 0.506 |
10 | 0.465 | 0.502 | 0.505 | 0.511 | 0.485 |
11 | 0.495 | 0.495 | 0.456 | 0.494 | 0.491 |
12 | 0.458 | 0.463 | 0.525 | 0.504 | 0.529 |
13 | 0.516 | 0.502 | 0.495 | 0.521 | 0.504 |
14 | 0.491 | 0.521 | 0.502 | 0.495 | 0.508 |
15 | 0.493 | 0.505 | 0.487 | 0.511 | 0.503 |
16 | 0.471 | 0.501 | 0.484 | 0.475 | 0.525 |
17 | 0.481 | 0.481 | 0.508 | 0.473 | 0.484 |
18 | 0.507 | 0.493 | 0.495 | 0.472 | 0.484 |
19 | 0.501 | 0.539 | 0.494 | 0.485 | 0.493 |
20 | 0.513 | 0.494 | 0.485 | 0.504 | 0.502 |
a. Calculate the mean and range for the above samples. (Do not round intermediate calculations. Round your answers to 3 decimal places.)
Sample Number |
Mean | Range |
1 | ||
2 | ||
3 | ||
4 | ||
5 | ||
6 | ||
7 | ||
8 | ||
9 | ||
10 | ||
11 | ||
12 | ||
13 | ||
14 | ||
15 | ||
16 | ||
17 | ||
18 | ||
19 | ||
20 | ||
b. Determine X=X= and R−R−. (Do not round intermediate calculations. Round your answers to 3 decimal places.)
X=X= | |
R−R− | |
c. Determine the UCL and LCL for a -chart. (Do not round intermediate calculations. Round your answers to 3 decimal places.)
UCL | |
LCL | |
d. Determine the UCL and LCL for R-chart. (Leave no cells blank - be certain to enter "0" wherever required. Do not round intermediate calculations. Round your answers to 3 decimal places.)
UCL | |
LCL | |
e. What comments can you make about the process?
The process is in statistical control. | |
The process is out of statistical control. |
a) X-bar (Mean) is the average of all observation for the sample. Range is the difference between the max and min value of the observations in the sample.
b)
c) X-bar chart
For sample size n=5
From the table of control chart constant
A2 = 0.577, D3=0, D4=2.114
d) R Chart
e) The process is in statistical control.
Mean Value of all samples is within the range of UCL and LCL of X-bar so the process is centred. Range value of all samples is within the range of UCL and LCL of R Chart so there is no out of control variability in the process.