In: Operations Management
Q6. A quality analyst took the following samples as a pilot study to construct the mean and range charts. The data below shows the weight in ounces. Construct the mean and range charts showing all control (action) –upper and lower limits, and warning upper and lower limits.
Sample Number |
Item1 |
Item2 |
Item3 |
Item4 |
Sample 1 |
11.9 |
12.5 |
12.4 |
12.7 |
Sample 2 |
12.5 |
12.5 |
12.4 |
12.8 |
Sample 3 |
12.2 |
12.8 |
12.7 |
12 |
Sample 4 |
12.3 |
12.4 |
12.8 |
12.4 |
Sample 5 |
12.1 |
12.8 |
12.4 |
11.9 |
Sample 6 |
12.6 |
12.4 |
12.1 |
12.3 |
The following day, the analyst took another 6 samples to check if the process under control or not. Theses samples are as follows:
Sample Number |
Item1 |
Item2 |
Item3 |
Item4 |
Sample 1 |
11.9 |
11.5 |
12.4 |
12.3 |
Sample 2 |
12.5 |
11.5 |
13.4 |
11.8 |
Sample 3 |
12.2 |
11.8 |
11.7 |
12 |
Sample 4 |
14.3 |
11.4 |
11.8 |
13.4 |
Sample 5 |
15.1 |
11.8 |
12.4 |
10.9 |
Sample 6 |
11.6 |
10.4 |
10.1 |
15.3 |
Is the process under control? Why? What actions should you take?
Factors for calculating control limits for control charts
For MEANS
Sample size (n) |
Constant (dn) |
Factors for warning limits 1.96/dn√n |
Factors for action limits 3.09√n |
2 |
1.128 |
1.23 |
1.94 |
3 |
1.693 |
0.67 |
1.05 |
4 |
2.059 |
0.48 |
0.75 |
5 |
2.326 |
0.38 |
0.59 |
6 |
2.334 |
0.32 |
0.50 |
7 |
2.704 |
0.27 |
0.43 |
8 |
2.847 |
0.24 |
0.38 |
9 |
2.970 |
0.22 |
0.35 |
10 |
3.078 |
0.20 |
0.32 |
Factors for calculating control limits for control charts
For RANGES
Sample size |
Upper warning limit |
Lower warning limit |
Upper action limit |
Lower action limit |
2 |
2.81 |
0.04 |
4.12 |
0.00 |
3 |
2.17 |
0.18 |
2.98 |
0.04 |
4 |
1.93 |
0.29 |
2.57 |
0.10 |
5 |
1.81 |
0.37 |
2.34 |
0.16 |
6 |
1.72 |
0.42 |
2.21 |
0.21 |
7 |
1.66 |
0.46 |
2.11 |
0.26 |
8 |
1.62 |
0.50 |
2.04 |
0.29 |
9 |
1.58 |
0.52 |
1.99 |
0.32 |
10 |
1.56 |
0.54 |
1.94 |
0.35 |
Sample No. | Item1 | Item2 | Item3 | Item4 | Sample Mean | Sample Range |
Sample 1 | 11.90 | 12.50 | 12.40 | 12.70 | 12.38 | 0.80 |
Sample 2 | 12.50 | 12.50 | 12.40 | 12.80 | 12.55 | 0.40 |
Sample 3 | 12.20 | 12.80 | 12.70 | 12.00 | 12.43 | 0.80 |
Sample 4 | 12.30 | 12.40 | 12.80 | 12.40 | 12.48 | 0.50 |
Sample 5 | 12.10 | 12.80 | 12.40 | 11.90 | 12.30 | 0.90 |
Sample 6 | 12.60 | 12.40 | 12.10 | 12.30 | 12.35 | 0.50 |
Avg. | 12.4125 | 0.6500 | ||||
Mean chart | Range chart | |||||
Sample size | 4 | 4 | ||||
Action limits factor | 0.75 | |||||
UCL | 12.900 | 1.671 | ||||
LCL | 11.925 | 0.065 | ||||
CL | 12.413 | 0.650 | ||||
Warning limits factor | 0.48 | |||||
UAL | 12.725 | 1.255 | ||||
LAL | 12.101 | 0.189 |
Using the above [LCL, UCL] and [LAL, UAL] ranges, plot the second set of samples as follows:
Sample Number | Item1 | Item2 | Item3 | Item4 | Sample Mean | Sample Range |
Sample 1 | 11.90 | 11.50 | 12.40 | 12.30 | 12.03 | 0.90 |
Sample 2 | 12.50 | 11.50 | 13.40 | 11.80 | 12.30 | 1.90 |
Sample 3 | 12.20 | 11.80 | 11.70 | 12.00 | 11.93 | 0.50 |
Sample 4 | 14.30 | 11.40 | 11.80 | 13.40 | 12.73 | 2.90 |
Sample 5 | 15.10 | 11.80 | 12.40 | 10.90 | 12.55 | 4.20 |
Sample 6 | 11.60 | 10.40 | 10.10 | 15.30 | 11.85 | 5.20 |
The process is out of control both in mean and range charts.