In: Statistics and Probability
A technology student project group worked with a machine shop that employs a CNC lathe in the machining of a part produced for a heavy equipment manufacturer. Some summary statistics for a diameter on the part obtained from 25 samples of n=4 parts turned on the lathe are given below. The units are inches.
Sample x-bar R
1 1.18093 .0001
2 1.18085 .0002
3 1.18095 .0002
4 1.18063 .0008
5 1.18053 .0007
6 1.18053 .0005
7 1.18053 .0005
8 1.18195 .0001
9 1.18100 .0003
10 1.18095 .0001
55 Sum 11.80885 .0007
Find retrospective control limits for the values above (both means and ranges). What do the x-bar and R values indicate about the stability of the turning process
Solution: Here the given information are
=11.80885, =0.0035
Subgroup size n=4
Total number of sample = m =10
First find the mean for and R
= = 11.80885/10 = 1.180885
= = 0.0035/10= 0.00035
Control limits for
To find the control limits on the chart, we use A2= 0.729 from variable control chart table for variable
UCL = + A2* = 1.180885+0.729*0.00035 = 1.18114
= 1.180885
LCL = + A2* = 1.18063
To find the control limits on the R chart, we use =0 and =2.282 from variable control chart table for variable
UCL = * =2.282*0.00035 = 0.000799
=0.00035
LCL =* =0*0.00035 =0
The standard chart for variables data, X-bar and R charts help determine if a process is stable and predictable. The X-bar chart shows how the mean or average changes over time and the R chart shows how the range of the subgroups changes over time. It is also used to monitor the effects of process improvement theories.
Here from the control limits of and R we can conclude that the process is not in control state. Some of the points outside the control limits. That means variation present in the turning process. From the control chart we need to be improvement in the process.