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Step #1. Collect the data using rational subgroups (typically more than 100 measurements) Example:Corn Flake Diameter |
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Step #2. Record the data on a data sheet (chart) (use coded data: d = 29 mm = 20 +9 mm) |
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Step #3. Find the average value and the range for each subgroup. a) Average = |
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| Sample data #1 = | ![]() |
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| b) Range = | |
| Sample data #1 = | |
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The completed calculated data set: |
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Step #4. Find the overall average and the average range. k = number of subgroups a) Overall average of the averages = |
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Sample Data Overall average = Uncoded = 6.9 + 20 = 26.9 mm |
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| b) Overall range = | ![]() |
| Sample Data Overall range = | |
Step # 5 a. Calculating the control limits for the Average Chart |
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| Sample: Average Control Chart | | ||||||||||||||||||||||||||||||
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Step#5b. Calculating the control limits for the Range Chart |
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| Sample: Range Control Chart | | ||||||||||||||||||||||||||||||
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| Factors Chart |
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Step #6. Construct the control chart by plotting the average and range points for each subgroup and placing the control limits on the chart |
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Perform an analysis to determine if any special causes are acting on the data.
Point out of Control Limits, Shifts, Trends, Cycles
Step #8.
Take corrective action to bring the process into statistical control Using the tools of system alignment followed by system improvement.