iSixSigma

DOE with attribute response

Six Sigma – iSixSigma Forums Old Forums General DOE with attribute response

Viewing 24 posts - 1 through 24 (of 24 total)
  • Author
    Posts
  • #28586

    Ovidiu Contras
    Participant

    Hi everybody !
    Does anyone experienced a DOE with attribute response ? Any information on this matter would be much appreciated  .
     
    Thanks in advance .
    Ovi

    0
    #71432

    Jaran S.
    Participant

    We has 2 options to do :
    1. Try to convert the response to be discrete or continuous response. You have to define your response related the attribute resonse such as size of the defect, amount of defect, severity or etc. If none are applicable, most of the time we still have likert scale as the last choice.
    2. Use attribute response. But it requires resource a lot.
    My experience, I always use choice No. 1.
    Jaran S.

    0
    #71433

    Ovidiu Contras
    Participant

    Thanks for your response !
    This DOE is about defective gas detectors , so my response is detected / not detected …….
    Ovi

    0
    #71452

    Sridhar
    Member

    Hi,
              You have to take a transformations on the response data if it is of attribute type, depending on the distribution. May be in your case it may follows poission distribution. Take a transformation do the similar analysis as you will for continuous response.
          You can look into minitab for this. Are you can go through this website which have some questions and answers on DOE.
    http://www.minitab.com/support/answers/index.asp?topic=DOE
    hope this helps you
    sridhar
     

    0
    #71457

    Shree Phadnis
    Member

    Dear Ovidu,
    You said that your response is gas detection right?.Some questions to probe.
    1. Objective is to detect the gas leak right
    2. Objective is to detect it fast  before a disaster occurs right
    3. If this is the primary objective of your device the response should be the time in detection of gas leak by the instrument.
    Hope this helps.
    Shree Phadnis
     

    0
    #71464

    Ovidiu Contras
    Participant

    Thanks , this is a really good idea, and something that definetly to take into account !
    Ovi

    0
    #71465

    Shree Phadnis
    Member

    Dear Ovi,
    you are welcome.If you need any further help do not hesitate.
    Shree Phadnia

    0
    #71575

    John Noguera
    Participant

    I think that the suggestions given above are all good, but the technically correct tool to use here is logistic regression.  Minitab does a pretty good job of simplifying this tool and explaining how to use it.
    The problem with a transformation approach is that you lose the power of the sample size.
     

    0
    #71576

    Russell
    Member

    I have had to perform DOE using attribute response for refrigeration systems leaks (defects). The response measured was leak / no leak. Since any leak would result in a defective product to the customer there was no allowance for  transforming the data top variable, including the application of a Likert scale.                                                    Transforming the data to a variable response may be applicable if the issue is how long can the gas (explosive or not) leak prior top failure of a unit or a disaster (explosion, toxic accumulation, etc.)                        If the real issue is leak / no leak I recommend that the data be examined as attribute – perform a regression analysis to determine the KPIV’s and procedd from there to determine elimination / control of inputs.                                                                                                  Good luck on your DOE

    0
    #71597

    Ovidiu Contras
    Participant

    Thank you !
    Ovi

    0
    #87922

    ALEK DE
    Participant

    Hi Ovidiu Contras
    If you have attribute data – what type you have ? Defective / Not Defective type or count of defects ? If it is defective / not defective kind of data do transformation of response using arcsin  SQRT p ( where p = proportion of defective ) & if it is defect count do transformation of response using SQRT (c) – where c is defect count.
    Earlier one is binomial distribution & later one follows poisson distribution.
    Let me know whether it’s clear or not.
    Thanks
    Alek

    0
    #88786

    MSAMILA
    Participant

    can anyone help me,
    is there any basic theory about DOE Attribute?
     
    thank you very much

    0
    #88863

    Aldous Wong
    Participant

    Diana,
       The paper “Analysis of Factorial Experiments with Defects or Defectives as the Response” by S. Gisgaard, and H.T. Fuller, Quality Engineering, 7(2), 429-443, 1994-95 contains a couple examples.

    0
    #90151

    Amy Lesher
    Participant

    Where can I get a copy of the article “Analysis of Factorial Experiments with defects or Defects as the Response” by S. Gisgaard and H. T. Fuller?

    0
    #90154

    Aldous Wong
    Participant

    Quality Engineering 7(2), p. 429-443 (1994-1995)

    0
    #90155

    Amy Lesher
    Participant

    I’ve been trying to search for that on the web with no luck.  Is there a specific website you can give me to get the article? 

    0
    #90156

    Aldous Wong
    Participant

    Qualtiy Engineering is a journal.  You should be able to get a copy from library.  If not, email me [email protected] your address.  I mail you a copy.

    0
    #97212

    Aldous Wong
    Participant

    (1) Copy of the article can be obtained from
    http://www.dekker.com
    (2) Transformation from attribute data, e.g. defective rate (i.e. binomial variate) and defect count (i.e. poisson variate) to continuous variable, see BH2, Statistics for Experimenters by Box, Hunter and Hunter
    (3) Quality Progress, March 2004, page 66 “3.4 per million” has another example of Attribute DOE
    (4) Based on my experience, unless the range of the untransformed data (Y) is very large, (e.g. max Y >> min Y), conclusion from the transformed data is often the same as the conclusion from the untransformed data.
     
    Aldous Wong  
      
     

    0
    #109211

    ROSS
    Member

    Alek:
      Can you post a sample on how to transformation of attribute response?
      Tks! 

    0
    #109488

    ALEK DE
    Participant

    Dear Tony ,
    Sorry for delay in response. I was on tour etc. Anyway , the way you can transform the data I ‘ve explained in my original post on the subject above. So now I’m not explaining that & rather I’ll answer specific to your question.. Say, in a DOE you have the response as a defect count in invoices.  Now for each set of run (you have to the choose the facors & level setting ) say you are taking 10 Invoices each & counting the no of defects as response. Now while dealing with attribute data , the assumtions of DOE are generally violated & hence you have to transform this data. Now in this example your data will follow poisson distribution. Hence you can use the transformation formulae what I have already posted in my earlier post on this subject.
    Thanks
     

    0
    #117164

    Pratama
    Participant

    Hi, everybody!, do you all experienced with mixed (attribute and continue) response of DOE, especially in Taguchi method?? I really need more information for this kind of problem, any advices or suggestions or responses for this matter would be appreciated. Thanks B4..(Pratama)
     

    0
    #137743

    martin.lu
    Participant

    Hi ,everybody
    what’s likert scale? where will i find the relative content ..
    Thanks for you again .
     

    0
    #138835

    Ron Ames
    Member

    A Likert scale, ironically, was right at the bottom of the page – how do you rate this article – a 1-5 scale.  Likert scales are discreet variables that are not continuous.

    0
    #160251

    Ali
    Participant

    Hi There
    If you can call me at 954-394-0773, I have some questions in regards of design review.
    I am looking forward.
    Best regards.Mirza

    0
Viewing 24 posts - 1 through 24 (of 24 total)

The forum ‘General’ is closed to new topics and replies.