In: Operations Management
John Bruno owns a factory producing electric cords. John observes that recently the number of cords with defect has increased. He monitors the 3 processing machines for 30 days for 100 cords per observation per machine. The results of John Bruno’s observations are presented in the table below. What can he do to make sure that the number of cords with defect to go down?
Date |
Number of Rejects by Cause |
||||||||
Number of observations |
Machine |
Bad Wind |
Twisted cord |
Broken Leads |
Abraded cord |
Broken cord |
Wrong wire |
Failed Electrical Test |
|
1 |
100 |
1 |
0 |
1 |
3 |
1 |
0 |
0 |
1 |
100 |
2 |
2 |
1 |
0 |
0 |
2 |
5 |
0 |
|
100 |
3 |
0 |
0 |
0 |
5 |
0 |
0 |
3 |
|
2 |
100 |
1 |
1 |
0 |
4 |
0 |
0 |
0 |
0 |
100 |
2 |
3 |
1 |
0 |
0 |
1 |
3 |
0 |
|
100 |
3 |
0 |
0 |
1 |
6 |
0 |
0 |
0 |
|
3 |
100 |
1 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
|
100 |
3 |
0 |
0 |
1 |
4 |
0 |
0 |
3 |
|
4 |
100 |
1 |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
1 |
0 |
3 |
|
5 |
100 |
1 |
0 |
1 |
5 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
|
8 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
|
9 |
100 |
1 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
4 |
|
10 |
100 |
1 |
0 |
0 |
5 |
0 |
0 |
0 |
0 |
100 |
2 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
5 |
0 |
0 |
4 |
|
11 |
100 |
1 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
4 |
0 |
0 |
4 |
|
12 |
100 |
1 |
0 |
0 |
3 |
0 |
1 |
0 |
0 |
100 |
2 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
5 |
0 |
0 |
4 |
|
15 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
1 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
|
16 |
100 |
1 |
0 |
0 |
6 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
|
17 |
100 |
1 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
3 |
|
18 |
100 |
1 |
1 |
0 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
|
100 |
3 |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
|
19 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
|
22 |
100 |
1 |
0 |
1 |
4 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
|
23 |
100 |
1 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
|
100 |
3 |
0 |
0 |
0 |
4 |
0 |
0 |
3 |
|
24 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
1 |
0 |
100 |
2 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
4 |
0 |
0 |
3 |
|
25 |
100 |
1 |
0 |
0 |
3 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
|
26 |
100 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
|
29 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
|
30 |
100 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
100 |
2 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
|
100 |
3 |
0 |
0 |
0 |
2 |
0 |
0 |
3 |
You need to find the number of defects per machine, then based on your results give your recommendations. You need to show your work and spread sheet if excel is used.
Compute the number of defective cords per machine and then construct the p-chart for each of the three machines.
p-chart for machine 1 is following
Machine 2
Machine 3
Based on the above p-charts, we can conclude that machine 2 process is out of control.
Therefore, machine 2 should be investigated for assignable causes of variation and those causes should be rectified.