In: Operations Management
Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is set up to produce a large run of resistors of 1,000 ohms each. Use Exhibit 10.13.
To set up the machine and to create a control chart to be used throughout the run, 15 samples were taken with four resistors in each sample. The complete list of samples and their measured values are as follows: Use three-sigma control limits.
| SAMPLE NUMBER | READINGS (IN OHMS) | ||||
| 1 | 1000 | 992 | 1014 | 1026 | |
| 2 | 1006 | 977 | 1027 | 1016 | |
| 3 | 985 | 1029 | 1018 | 992 | |
| 4 | 1001 | 1006 | 971 | 1000 | |
| 5 | 1028 | 970 | 979 | 1025 | |
| 6 | 997 | 1026 | 1007 | 1003 | |
| 7 | 1016 | 1003 | 987 | 1006 | |
| 8 | 995 | 1029 | 978 | 986 | |
| 9 | 1027 | 995 | 1003 | 1008 | |
| 10 | 991 | 987 | 981 | 996 | |
| 11 | 994 | 1000 | 978 | 971 | |
| 12 | 999 | 983 | 973 | 1005 | |
| 13 | 1003 | 993 | 974 | 1002 | |
| 14 | 1005 | 972 | 994 | 1000 | |
| 15 | 1012 | 1018 | 982 | 1014 | |
a. Calculate the mean and range for the above samples. (Round "Mean" to 2 decimal places and "Range" to the nearest whole number.)
| Sample Number | Mean | Range | 
| 1 | ||
| 2 | ||
| 3 | ||
| 4 | ||
| 5 | ||
| 6 | ||
| 7 | ||
| 8 | ||
| 9 | ||
| 10 | ||
| 11 | ||
| 12 | ||
| 13 | ||
| 14 | ||
| 15 | ||
b. Determine X=X= and R−R−. (Round your answers to 3 decimal places.)
| X=X= | |
| R−R− | |
c. Determine the UCL and LCL for a X−X−chart. (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. 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. | 

Question – a:
| 
 Sample Number  | 
 Mean  | 
 Range  | 
| 
 1  | 
 1008  | 
 34  | 
| 
 2  | 
 1006.5  | 
 50  | 
| 
 3  | 
 1006  | 
 44  | 
| 
 4  | 
 994.5  | 
 35  | 
| 
 5  | 
 1000.5  | 
 58  | 
| 
 6  | 
 1008.25  | 
 29  | 
| 
 7  | 
 1003  | 
 29  | 
| 
 8  | 
 997  | 
 51  | 
| 
 9  | 
 1008.25  | 
 32  | 
| 
 10  | 
 988.75  | 
 15  | 
| 
 11  | 
 985.75  | 
 29  | 
| 
 12  | 
 990  | 
 32  | 
| 
 13  | 
 993  | 
 29  | 
| 
 14  | 
 992.75  | 
 33  | 
| 
 15  | 
 1006.5  | 
 36  | 
Question – b:
Finding x-double-bar and R-bar
x-double bar = sum of all mean/total samples = 14988.75/15 = 999.250
R-bar = sum of all range/total samples = 536/15 = 35.733
Question – c:
UCL and LCL for X-bar chart:
We know that,
UCL(X-bar) = x-double-bar + A2*R-bar
LCL(X-bar) = x-double-bar – A2*R-bar
Here sub group size = 4. So, A2 = 0.729
x-double bar = 999.25
R-bar = 35.733
So,
UCL = 999.25 + 35.733*0.729 = 999.25 + 26.049 = 1025.299
LCL = 999.25 - 35.733*0.729 = 999.25 - 26.049 = 973.201
UCL(X-bar) = 1025.299
LCL(X-bar) = 973.201
Question – d:
UCL and LCL for R-chart
For R-chart, we know that,
UCL = R-bar*D4
LCL = R-bar*D3
For subgroup size n = 4,
D3 = 0
D4 = 2.282
R-bar = 35.733
So,
UCL = 35.733*2.282 = 81.543
LCL = 35.733*0 = 0
UCL(R) = 81.543
LCL(R) = 0
Question – e:
As, all data and range are within the specified limit for UCL and LCL of X-bar and R-chart, so
The process is in statistical control.
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