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Capability Analysis for Logistic distr. data

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  • #24524

    Ang
    Participant

    Hi – I’m currently trying to reduce the ‘total effort’ required to support a specific process, and would like to perform a capability analysis on the data. The data itself in ‘Logistically’ distributed (minutes per day), and i believe this is because:-
    a) the process has a significant number of sub-processes that remain constant (in effort)…and
    b) there are also a handful of sub-processes where the ‘effort’ is dramatically influenced by the volume of ‘widgets’ flowing through it (the widget flow is seasonal, and therefore spikes occur).
    I’m trying to tell how well this process performs vs a USL set by our management group. Can anyone tell me what ‘type’ of capability analysis I should use in MTB? 
    I’m fairly new to this, so any assistance would be much appreciated. Regards, Pete.
     
     

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    #58811

    luke skywalker
    Participant

    Pete,
    A couple of ideas…First, MTB is not real helpful for non-normal capability analysis, but is rather decent at distribution fitting, so this is not too difficult. If you have fit the data to a logistic model, you could use the cumulative density function to determine the actual area under the curve beyond your spec limit. That would be your effective ‘defect rate’, which enables you to get a DPM or perhaps  DPMO and from there it’s a short hop to sigma level.
    Of course, I would look at it all umped together, but anticipate needing to assess the 2 strains of subprocesses independently to better understand the root causes within each.
    Hope this helps.

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    #58813

    Ang
    Participant

    Luke, sorry for not getting back sooner – been out on vacation. Many thanks for your assistance on this…………much appreciated.
    Regards,
    Pete.

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