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I'm looking for a suitable control chart to use to monitor the time is takes to respond to a corrective action request.
Historical data (2008) parameters are as follows:
Population - 177
Mean - 6.66 days
Median - 4.93 days
Std Dev - 6.896 days
Range - 4.62 days
Dist - RH Skew (No positive fit in Minitab)
Target - 3 days
There are a number of outliers present in the dataset.
I've looked at the data using various control and time series charts including subgrouping by week /month and am still unsure what is best to use.
I'm also trying the 'baseline' the process using a capability indices but the outliers are proving problematic from a stability standpoint.
I have wonder if one of our Stats experts could give me some guidance as to:
Steve
Historical data (2008) parameters are as follows:
Population - 177
Mean - 6.66 days
Median - 4.93 days
Std Dev - 6.896 days
Range - 4.62 days
Dist - RH Skew (No positive fit in Minitab)
Target - 3 days
There are a number of outliers present in the dataset.
I've looked at the data using various control and time series charts including subgrouping by week /month and am still unsure what is best to use.
I'm also trying the 'baseline' the process using a capability indices but the outliers are proving problematic from a stability standpoint.
I have wonder if one of our Stats experts could give me some guidance as to:
- the most effective way to 'baseline' this data and
- what type of control chart would be most suitable to monitor this type of data is the future?
Steve
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