Case study-the crouse fuse company


Assignment:

The Crouse Fuse Company case  presents a problem that may be analyzed with the use of P-Control Charts. The sampling data from operations during the monitored control week are used as a basis for P-Control chart limits in the future.

From the data in Exhibit 1 of the case, there are 80 different samples of 50 units per sample from the monitored week of operation. This gives a total number sampled as 80*50 = 4,000.

CFC management wants to see STATs process control analysis applied to the data from their system - based on the proportion of defective units in a sample, and it should be done on the data from BOTH shifts.

There were 94 defective units found during testing in the monitored week, yielding an expected proportion defective, = 94/4,000 = .0235. With a sample size n = 50; calculate the proportion standard deviation.

 Make control charts for a 95% confidence level, which gives us a standard normal distribution value with Z = 1.960.

Need statistical response/charts from Excel for these control charts.

Note: These control limits are then used to construct P-Control charts to consider the output from the First Shift and Second Shift of the first week of operation after the monitored week.

Sample Number Defective Day  Sample Number Defective





1 0 3 9 0
2 0 3 10 0
3 1 3 11 0
4 0 3 12 1
5 1 3 13 0
6 1 3 14 0
7 1 3 15 0
8 2 3 16 1
9 0 4 1 0
10 1 4 2 1
11 1 4 3 1
12 1 4 4 1
13 0 4 5 0
14 0 4 6 0
15 2 4 7 1
16 2 4 8 1
1 0 4 9 2
2 1 4 10 0
3 0 4 11 0
4 2 4 12 0
5 0 4 13 1
6 1 4 14 0
7 1 4 15 0
8 1 4 16 1
9 0 5 1 0
10 1 5 2 0
11 1 5 3 0
12 2 5 4 1
13 0 5 5 0
14 1 5 6 1
15 2 5 7 1
16 1 5 8 2
1 0 5 9 0
2 0 5 10 0
3 0 5 11 1
4 1 5 12 1
5 0 5 13 0
6 0 5 14 0
7 1 5 15 0
8 2 5 16 1


Attachment:- Case crouse fuse company.rar

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