Advertisements
Advertisements
प्रश्न
The following data gives the average life(in hours) and range of 12 samples of 5lamps each. The data are
| Sample No | 1 | 2 | 3 | 4 | 5 | 6 |
| Sample Mean | 1080 | 1390 | 1460 | 1380 | 1230 | 1370 |
| Sample Range | 410 | 670 | 180 | 320 | 690 | 450 |
| Sample No | 7 | 8 | 9 | 10 | 11 | 12 |
| Sample Mean | 1310 | 1630 | 1580 | 1510 | 1270 | 1200 |
| Sample Range | 380 | 350 | 270 | 660 | 440 | 310 |
Construct control charts for mean and range. Comment on the control limits.
Advertisements
उत्तर
| Sample No | Sample Mean `bar"X"` |
Sample Range R |
| 1 | 1080 | 410 |
| 2 | 1390 | 670 |
| 3 | 1460 | 180 |
| 4 | 1380 | 320 |
| 5 | 1230 | 690 |
| 6 | 1370 | 450 |
| 7 | 1310 | 380 |
| 8 | 1630 | 350 |
| 9 | 1580 | 270 |
| 10 | 1510 | 660 |
| 11 | 1270 | 440 |
| 12 | 1200 | 310 |
| Total | `sum"X"` = 16410 | `sum"R"` = 5130 |
The control limits for `bar"X"` chart is
`\overset{==}{"X"} = (sum"X")/"Number of sample" = 16410/12` = 1367.5
`bar"R" = (sum"R")/"n" = 5130/12` = 427.5
UCL = `\overset{==}{"X"} + "A"_2 bar"R"`
= 1367.5 + 0.577(427.5)
= 1367.5 + 246.6675
= 1614.1675
= 1614.17
CL = `\overset{==}{"X"} ` = 1367.5
LCL = `\overset{==}{"X"} + "A"_2 bar"R"`
= 1367.5 – 0.577(427.5)
= 1367.5 – 246.6675
= 1120.8325
= 1120.83
The control limits for Range chart is
UCL = `"D"_4bar"R"`
= 2.115(427.5)
= 904.1625
= 904.16
CL = `bar"R"` = 427.5
LCL = `"D"_3bar"R"`
= 0(427.5)
= 0
APPEARS IN
संबंधित प्रश्न
Define assignable cause
Write the control limits for the mean chart
Write the control limits for the R chart
Construct `bar"X"` and R charts for the following data:
| Sample Number | Observations | ||
| 1 | 32 | 36 | 42 |
| 2 | 28 | 32 | 40 |
| 3 | 39 | 52 | 28 |
| 4 | 50 | 42 | 31 |
| 5 | 42 | 45 | 34 |
| 6 | 50 | 29 | 21 |
| 7 | 44 | 52 | 35 |
| 8 | 22 | 35 | 44 |
(Given for n = 3, A2 = 1.023, D3 = 0 and D4 = 2.574)
A quality control inspector has taken ten samples of size four packets each from a potato chips company. The contents of the sample are given below, Calculate the control limits for mean and range chart.
| Sample Number | Observations | |||
| 1 | 2 | 3 | 4 | |
| 1 | 12.5 | 12.3 | 12.6 | 12.7 |
| 2 | 12.8 | 12.4 | 12.4 | 12.8 |
| 3 | 12.1 | 12.6 | 12.5 | 12.4 |
| 4 | 12.2 | 12.6 | 12.5 | 12.3 |
| 5 | 12.4 | 12.5 | 12.5 | 12.5 |
| 6 | 12.3 | 12.4 | 12.6 | 12.6 |
| 7 | 12.6 | 12.7 | 12.5 | 12.8 |
| 8 | 12.4 | 12.3 | 12.6 | 12.5 |
| 9 | 12.6 | 12.5 | 12.3 | 12.6 |
| 10 | 12.1 | 12.7 | 12.5 | 12.8 |
(Given for n = 5, A2 = 0.58, D3 = 0 and D4 = 2.115)
In a certain bottling industry the quality control inspector recorded the weight of each of the 5 bottles selected at random during each hour of four hours in the morning.
| Time | Weight in ml | ||||
| 8:00 AM | 43 | 41 | 42 | 43 | 41 |
| 9:00 AM | 40 | 39 | 40 | 39 | 44 |
| 10:00 AM | 42 | 42 | 43 | 38 | 40 |
| 11:00 AM | 39 | 43 | 40 | 39 | 42 |
Choose the correct alternative:
How many causes of variation will affect the quality of a product?
Choose the correct alternative:
A typical control charts consists of
Choose the correct alternative:
R is calculated using
Choose the correct alternative:
The LCL for R chart is given by
