X Bar Chart & R Chart
X Bar Chart & R Chart
X-bar Chart
X
Bar chart is used to monitor the centering of process to control its accuracy. X-bar chart is a type of Shewhart control chart that is used to monitor the arithmetic means of successive samples of constant size, n. This type of control chart is used for characteristics that can be measured on a continuous scale, such as weight, temperature, thickness etc. For example, one might take a sample of 5 shafts from production every hour, measure the diameter of each, and then plot, for each sample, the average of the five diameter values on the chart.
R-Chart
R chart is used monitor the dispersion or precision of the process.
The construction of X-Bar chart & R Chart is-
1. Select the
characteristics for applying a control chart.
2. Select the appropriate
type of control chart.
3. Collect the data.
4. Choose the rational sub
group i.e., Sample.
5. Calculate the average
X-bar& Range (R) for each sample.
6. Calculate the average of the averages X
& R-bar.
7. Calculate the control
limits for X chart or R- Chart
For X-bar Chart-
For R Chart-
8. Plot the CL, UCL &
LCL on the chart.
9. Plot individual X-bar
& R values on the chart.
10. Check whether is in
control or not.
11. Revise the control
limit if the points are out-of-control.
Problem- Following
table contain the data on weight of a plastic components in grams. this
component is manufactured using a plastic injection modeling process. Mean
& range chart are required to established for this process.
Determine – 1.The
trail central line & control limits2.
Draw the mean & range chart & plot the values. 3.State whether the process is under statistical control. 4. It not assumes that the deviation
occurred due to assignable causes which are rectified now. Revise the Centre
line & control limits. 5. Draw
the revised mean & range chart & plot the values. 6.State the process is now under statistical control.
Sample Number
|
Measurement
|
|||
X1
|
X2
|
X3
|
X4
|
|
1
|
6.35
|
6.40
|
6.32
|
6.37
|
2
|
6.46
|
6.37
|
6.36
|
6.41
|
3
|
6.34
|
6.40
|
6.34
|
6.36
|
4
|
6.69
|
6.64
|
6.68
|
6.59
|
5
|
6.38
|
6.34
|
6.44
|
6.40
|
6
|
6.41
|
6.40
|
6.29
|
6.34
|
7
|
6.38
|
6.44
|
6.28
|
6.58
|
8
|
6.35
|
6.41
|
6.37
|
6.38
|
9
|
6.56
|
6.55
|
6.45
|
6.48
|
10
|
6.38
|
6.40
|
6.45
|
6.37
|
Solution- Subgroup size n=4 & N=10
Sample Number
|
Measurement
|
X bar = (X1 +X2+X3+X4)/4
|
R = Xmax-Xmin
|
|||
X1
|
X2
|
X3
|
X4
|
|||
1
|
6.35
|
6.40
|
6.32
|
6.37
|
6.36
|
0.08
|
2
|
6.46
|
6.37
|
6.36
|
6.41
|
6.40
|
0.10
|
3
|
6.34
|
6.40
|
6.34
|
6.36
|
6.36
|
0.06
|
4
|
6.69
|
6.64
|
6.68
|
6.59
|
6.65
|
0.10
|
5
|
6.38
|
6.34
|
6.44
|
6.40
|
6.39
|
0.10
|
6
|
6.41
|
6.40
|
6.29
|
6.34
|
6.36
|
0.12
|
7
|
6.38
|
6.44
|
6.28
|
6.58
|
6.42
|
0.30
|
8
|
6.35
|
6.41
|
6.37
|
6.38
|
6.37
|
0.06
|
9
|
6.56
|
6.55
|
6.45
|
6.48
|
6.51
|
0.11
|
10
|
6.38
|
6.40
|
6.45
|
6.37
|
6.40
|
0.08
|
= 64.22 / 10 = 6.422
= 1.11 / 10 = 0.111
For a subgroup size n=4
table give the following satisfactory result
A2 = 0.729,D3
= 0 & D4 = 2.282
1. To determine the trail Centre &
control limits
For X-bar
Chart-
For R Chart-
2. To draw the X bar & R Chart-
3. To check the process is statistical control-
It may be observed that sample 7 is above the upper control limits on the R chart & sample 4 & 9 are above the upper control limits of the X-bar chart. Since those three points are upper control limits, therefore the process is statistically out of control.
4. To revise the Centre line & control limits
Assuming that the assignable causes for three samples (4,7 & 9) are identified& they are eliminated through appropriate remedial actions, the centre lines & control limits can be revised.
With sample 4,7 & 9 deleted we get
Revised
control limits for R- Chart
5. To draw the revised X-bar & R chart-
6. To check the process for statistically control-
Since all the remaining points are within the revised limits in both X-bar & R chart therefore it can be concluded that the process is in statistically controlled.
Comments
Post a Comment