iSixSigma

DOUBT

Viewing 21 posts - 1 through 21 (of 21 total)
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  • #41774

    N.SUDAHAR
    Participant

    what are the possible corrective actions should I take if gauge R&R  more than 30% or gauge is not o.k.condition
     
     

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    #131340

    Dr. Russ (Reza) Pirasteh, MBA, itlsE, PMP, CMBB, CLM
    Participant

    I suggest value stream mapping of the process, to understand what is going on with the process, followed by CE-CNX process to identify root causes of variation, including operator training, measurement system itself, etc….Good luck.

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    #131342

    Jered Horn
    Participant

    It depends on where the greatest source of variation is coming from…repeatability or reproducibility.  If it’s repeatability (same operator, same part), something will have to be improved on the gauge itself.  If it’s reproducibility (different operator, same part), improvement can come from standardizing the operating procedure and/or operator training.
    Also, be sure you had good discrimination in your original study…1) Measurement equipment needs to be capable of measuring at least 10 times more variation than the range of values measured in the study; 2) Look at the range control chart…you need there to be more than 3 range values represented.
    Hope this helps.

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    #131359

    Mikel
    Member

    Dear Mr. PhD, MBB;
    Nice round worded answer.

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    #131361

    Mike Carnell
    Participant

    Stan,
    If you always include valuestream mapping and some acronyms you will look more intelligent than saying “I dunno.” He threw in the Phd and MBB so most wouldn’t question the answer.
    Regards

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    #131363

    Mikel
    Member

    Yea – he put a post out the other day that said he had 17 years experience with three years implementation experience. I wonder what he did the other 14 years?
     

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    #131367

    Mike Carnell
    Participant

    Stan,
    Those were the years where everyone kept saying how much potential he had (and we all know John L’s take on that “Potential? That just means they haven’t done s__t yet otherwise they would be talking about what they did!”
    Merry Christmas

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    #131369

    Alanis
    Participant

    Oh me!   me!!  pick me!!!
    That’s easy;  he worked for 3 years and has been a consultant for the last 14.
     

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    #131371

    Mike Carnell
    Participant

    Alanis, 
    I be glad to show you my numbers for the last year if you want to show me yours.
    Email me at [email protected],com
     

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    #131373

    Dr. Russ (Reza) Pirasteh, MBA, itlsE, PMP, CMBB, CLM
    Participant

    Grow up…..

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    #131375

    Mikel
    Member

    Mr. PhD, MBB;
    We insulted you once and you lost the MBB. If we insult you again, will you lose the PhD and stop trying to impress us?

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    #131377

    Joe BB
    Participant

    “We insulted you once “????????
    This forum is meant for candid and cordial conversation, not insults.

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    #131378

    Mikel
    Member

    Just for you Joe honey –
    Mr. PhD, MBB;
    We were candid with you once and you lost the MBB. If we are candid with you again, will you lose the PhD and stop trying to impress us?

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    #131379

    Joe BB
    Participant

    Very well worded!
    At least someone is learning good manners.

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    #131384

    Dr. Russ (Reza) Pirasteh, MBA, itlsE, PMP, CMBB, CLM
    Participant

    Wow… I don’t know who you are to impress you. But you certainly have impressed me with your intelligence, wit and obviously high intellectual capacity…. It seems that you are very educated and are free of emotional and professional complexes…. Be productive.

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    #131387

    Siva
    Member

    Sudahar,
    I am sure my answer will be questioned by few. I assume you are talking about gage R&R as a % of tolerance. What is you current process capability? If it is very poor then I would not bother about my R&R value as a % of tolerance at the as is stage.The reason is this:
    The idea of doing a MSA is to make sure that the measurment system is good enough to differentiate two parts that are being measured. If the existing process is having a low sigma (High variation), this indicates even though if your R&R as a % of tolerance (Derived out of spec limits) is high you need not bother. Because your process variation is very high when compared to your measurement varitaion. So you will be still able to measure your process variation. But you will have to look into the other aspects like R&R as a % of contribution, Number of distinct categories etc, in the Anova Gage R&R. After you have improved your process, in the IMPROVE phase you will have to again redo your MSA and now you will have to consider your R&R as a % of tolerance and improve it if it is high.
    Thanks… Siva  

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    #131389

    Scott
    Member

    Guys,
    I think I have the same problem in a Gage R&R study. Everything is OK (number of distinct categories, the whole range is cover => XBAR-chart per operator is ‘not in control’., …) Only problem according to my MBBs is that the RBAR-chart per operator is out of control. The reason why the RBAR chart is out of control is because the operators had almost no difference measuring the same parts and they didn’t make much mistakes, meaning that there wasn’t much variation in the measurements between them. Should we therefor not accept MSA ? I thought MSA was all about looking if a certaing gauge would produce the same result whatever operator did the measurements. If there isn’t much variation between the operators and they all do measure the same part the same. Isn’t that a clue that your gage should be OK ?

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    #131392

    Jered Horn
    Participant

    Maybe I’m reading your message wrong…
    You said your R Chart by Operator is out of control?  If that’s the case, at least one of your operators is NOT getting the same reading measuring at least one part.  If it’s just one spike, it may be worth investigating to see if it was a data entry error.  If a majority of your R values are out of the control limits, that means sample range variation is high – I doubt if that’s the case, though, since you said everything else is OK.

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    #131395

    Whitehurst
    Participant

    Perform an analysis of variance and try to understand from which side the variation come from and then start to think about which action to put in place to correct it.
    Regards, joe

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    #131397

    Alanis
    Participant

    5′ 4″  104 lbs
    your turn

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    #131400

    Scott
    Member

    Problem was not the fact that operators measured the samples with too much variance. The variance was too small. The same sample was consistently measured the same, which brought my R-bar value down drastically and by this the UCL also goes down because it’s just multiplied by a constant value dictated by the size of the subgroup. Apparently this is called data discrimination and can only be solved by using a more accurate gage, which we have done and guess what : Our problem is solved and the Study Variance is even better than the one we had with the first gage… But thanks for your advice anyway.

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