(Statistical Process Control) A wood shop produces processed wood chips with high precision. The shop wants to know whether the process is still controlled using statistical process control methods. The shop owner measured the length with 5 samples every day for 10 consecutive days according to the results in the table below. Day Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 1 174 147 145 141 144 2 139 134 135 135 174 3 135 150 130 174 143 4 142 136 145 141 133 5 142 132 146 134 149 6 143 143 141 145 144 7 134 174 144 141 144 8 133 139 146 140 145 9 140 135 135 133 174 10 136 132 130 174 145 From the data above, the shop owner asks you as a quality expert to determine whether the production process is still under control with regard to quality. Calculate LCL-X and UCL-X from these measurements and make a sketch of the X-Chart Calculate the LCL-R and UCL-R from these measurements and make a sketch of the R-Chart Analyze whether the process is still controlled or not. Explain your reasons.
(Statistical Process Control) A wood shop produces processed wood chips with high precision. The shop wants to know whether the process is still controlled using statistical process control methods. The shop owner measured the length with 5 samples every day for 10 consecutive days according to the results in the table below. Day Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 1 174 147 145 141 144 2 139 134 135 135 174 3 135 150 130 174 143 4 142 136 145 141 133 5 142 132 146 134 149 6 143 143 141 145 144 7 134 174 144 141 144 8 133 139 146 140 145 9 140 135 135 133 174 10 136 132 130 174 145 From the data above, the shop owner asks you as a quality expert to determine whether the production process is still under control with regard to quality. Calculate LCL-X and UCL-X from these measurements and make a sketch of the X-Chart Calculate the LCL-R and UCL-R from these measurements and make a sketch of the R-Chart Analyze whether the process is still controlled or not. Explain your reasons.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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(Statistical Process Control)
A wood shop produces processed wood chips with high precision. The shop wants to know whether the process is still controlled using statistical process control methods. The shop owner measured the length with 5 samples every day for 10 consecutive days according to the results in the table below.
Day |
Sample 1 |
Sample 2 |
Sample 3 |
Sample 4 |
Sample 5 |
1 |
174 |
147 |
145 |
141 |
144 |
2 |
139 |
134 |
135 |
135 |
174 |
3 |
135 |
150 |
130 |
174 |
143 |
4 |
142 |
136 |
145 |
141 |
133 |
5 |
142 |
132 |
146 |
134 |
149 |
6 |
143 |
143 |
141 |
145 |
144 |
7 |
134 |
174 |
144 |
141 |
144 |
8 |
133 |
139 |
146 |
140 |
145 |
9 |
140 |
135 |
135 |
133 |
174 |
10 |
136 |
132 |
130 |
174 |
145 |
From the data above, the shop owner asks you as a quality expert to determine whether the production process is still under control with regard to quality.
- Calculate LCL-X and UCL-X from these measurements and make a sketch of the X-Chart
- Calculate the LCL-R and UCL-R from these measurements and make a sketch of the R-Chart
- Analyze whether the process is still controlled or not. Explain your reasons.
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