FarmaSuitica, Inc, a mail-order prescription drug vendor, measured the number of defects per standard 200 line order being picked in their distribution center. Construct c-chart for data in the table in the worksheet Prob 07-08 in the ch07 data.xlsx file and interpret the results.
Number of Defects | |||
Sample | per order (200 product order) | ||
1 | 1 | ||
2 | 2 | ||
3 | 1 | ||
4 | 1 | ||
5 | 2 | ||
6 | 4 | ||
7 | 1 | ||
8 | 3 | ||
9 | 1 | ||
10 | 1 | ||
11 | 1 | ||
12 | 2 | ||
13 | 3 | ||
14 | 0 | ||
15 | 2 | ||
16 | 3 | ||
17 | 2 | ||
18 | 5 | ||
19 | 1 | ||
20 | 3 | ||
21 | 0 | ||
22 | 0 | ||
23 | 1 | ||
24 | 2 | ||
25 | 1 | ||
26 | 1 | ||
27 | 2 | ||
28 | 1 | ||
29 | 4 | ||
30 | 1 |
Total number of defects in 30 samples = 52
Therefore , average number of defects per sample = Cbar = 52/30 = 1.733
Therefore ,
Upper Control Limit ( UCL) = Cbar + 3 Square root ( Cbar ) = 1.733 + 3xSquare root ( 1.733) = 1.733 +3 x 1.316= 1.733+3.948=5.681
Lower control Limit ( LCL ) = Maximum ( 0. Cbar – 3 x Square root ( Cbar) ) = Maximum ( 0 , 1,733 – 9.948) = 0
Thus it can be said that as long as number of defects in all the samples are within range0 – 5.681 ,it can be said that the process is in control.
The data furnished in the problem caseregarding number of defects per sample have minimum value of 0 and maximum value of 5 and thus fall within control limits 0 – 5.681 .
Therefore, it can be concluded that the process is in control
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