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Casue Effect Diagram Correct Usage

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This topic contains 3 replies, has 4 voices, and was last updated by  annon 11 years, 7 months ago.

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  • #48032

    AT
    Participant

    As a potential cause/hypothesis generating tool, the cause effects diagram is to be used in which phase – Measure or Analyze ? According to one reference, a CTQ tree/FMEA can be used in “Measure”to identify what needs to be measured and Cause Effect can be used in “Analyze” phase to generate and test hypotheses once the data is there in place. Another reference suggests using Cause Effects in “Measure” to identify what needs to be measured (based on the hypotheses generated by the tool). I am not sure which is the correct sequence or usage. Help from expert practioners here in this forum will be very much appreciated.

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    #160734

    Gopal Ranjan
    Participant

    There is no hard and fast rule that C&E digram has to be used only in Analyze phase. Although it is wiely used as an anlaytical tool to identify the root causes, it can be used in Measure phase as well in some instances as you said to find out the factors for which data to be collected. It depends on the requirment. But in terms of usage it is more of an analytical tool derived from seven QC tools. Another name of the tool as “5-Why analysis” itself suggests that its a root cause identification tool hence an analytical tool.

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    #160749

    GB
    Participant

    Ishikawa’s can be used in any and/or all phases if you wish.   You’ll likely find the need to drive down to root cause in multiple phases.
    For instance, in  “Define”, you may need to use it to test/validate the VoC’s needs/wishes to ensure that simple symptoms are not being focused upon unduly.

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    #160751

    annon
    Participant

    Good advice from both GR and HBG. 
    When I first started, I found it helpful to hardwire it into a basic series of tools. For example, I would take the COPIS and use the process steps as the main bones of the C&E, and then drill down using the aforementioned 5 whys to create the full skeletal structure.  Then you could take these into the C&E Matrix or FMEA to quantify them for decision making.  Or use a pmap to fmea to data collection plan approach, etc.
    The piont is that you can couple a few of these tools to allow you to both identify potential causal inputs (x) and then quantify them in some way so that they can be assessed and brought forward into your analysis. 
    Good luck.

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