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Explain in your own words how to determine if a process is not statistically stable.
Solution
1. examine the data for a non-normal conditions. Try the box-cox transform or do it
through inspection. If non-normal, transform it and re-assess predictability. 2. If the out of
control is triggered by one or a few points that are dramatically different from the bulk of the
data, take a look to see if there is something different at that time of sampling. if there is a
difference, re-check for predictability without the data used in the limit calculations 3. Look for
multiple distributions/processes. If found, divide the data and assess each part separately. 4.
Begin to average the data over longer and longer time periods. Plot the average data on an i-
chart. you might try it by hour, shift, day week, month, quarter, year…. You will nearly always
find one averageing period that makes the process predictable. That means that there is a
variation cause with a period shorter than the current time period and longer than the last time
period. Now examine your process to see what changes at that rate. You will have found the first
cause to assess in the analyze phase work.

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Explain in your own words how to determine if a process is not stati.pdf

  • 1. Explain in your own words how to determine if a process is not statistically stable. Solution 1. examine the data for a non-normal conditions. Try the box-cox transform or do it through inspection. If non-normal, transform it and re-assess predictability. 2. If the out of control is triggered by one or a few points that are dramatically different from the bulk of the data, take a look to see if there is something different at that time of sampling. if there is a difference, re-check for predictability without the data used in the limit calculations 3. Look for multiple distributions/processes. If found, divide the data and assess each part separately. 4. Begin to average the data over longer and longer time periods. Plot the average data on an i- chart. you might try it by hour, shift, day week, month, quarter, year…. You will nearly always find one averageing period that makes the process predictable. That means that there is a variation cause with a period shorter than the current time period and longer than the last time period. Now examine your process to see what changes at that rate. You will have found the first cause to assess in the analyze phase work.