GRR - Gage R&R Study (Crossed): MSA Tools with Examples | GRR Study

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  • เผยแพร่เมื่อ 29 ก.ย. 2024

ความคิดเห็น • 87

  • @Bryvayne
    @Bryvayne 4 ปีที่แล้ว +6

    Excellent video. Thank you for the concise explanation!

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Thank you so much for your valuable comments. Please share your friends and colleagues.

  • @Sanosyenforma
    @Sanosyenforma 2 ปีที่แล้ว +1

    Great video, thank you!

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว

      Glad you liked it! Thank you so much for your valuable comments and appreciation 🙏😊

  • @KhaznahKhalishahHidayat
    @KhaznahKhalishahHidayat ปีที่แล้ว +1

    I only have 3 sample size, can I get an accurate GR&R result using minitab???

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      It's not meeting the data requirements.
      So, the results may not be reliable.

  • @abhishekkamble9895
    @abhishekkamble9895 ปีที่แล้ว +1

    Please share link for destructive test R&R by nested method

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      You can get the video under the members section. Or if you want to learn in detail with data files, templates, and mentoring support, then please enroll in the MSA course. vijaysabale.co/msacourse

  • @chikamutiaraf
    @chikamutiaraf วันที่ผ่านมา +1

    thank u for the video!❤️

    • @learnandapply
      @learnandapply  วันที่ผ่านมา +1

      You're welcome! 😊
      Thank you for your valuable comments and appreciation! 🙏😊

  • @pharmaengineering
    @pharmaengineering ปีที่แล้ว +1

    Gage R and R less than 10% acceptable,
    10-30% requires caution,
    More than 30% unacceptable

  • @balasubramanianks9227
    @balasubramanianks9227 ปีที่แล้ว +1

    Excellent video, Thank you for sharing. I have one question. Help me, to explain raw data to Minitab. How run data is converted to part data, I always have issues here.

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation!
      Can you please elaborate on your question?

  • @colvinodchengappa209
    @colvinodchengappa209 ปีที่แล้ว +1

    PLEASE talk as if whoever is listening to you does not know ANYTHING ABOUT WHAT YOU ARE TALKING OPKJ? tHANK YOU

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      I appreciate your viewpoint, but following the sequential process in learning is critical. If you are directly jump to last video, you are missing many concepts.
      For more detailed learning, please visit vijaysabale.co/msacourse

  • @scientist100
    @scientist100 ปีที่แล้ว +1

    If NDC is = 4 or greater, should that be ok too? Not sure why you jumped from 3 to 5 being acceptable.

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Higher the NDC, greater will be the capability of your measurement system to detect smaller differences. Yes, you can say 4 is good.
      NDC indicates the capability of your measurement system to divide the total observations into number of group based on their similarities.
      AIAG indicate it must be 5 or more, but depending on criticality of your measurements, you can select the most appropriate one.

  • @Justice4allpeople
    @Justice4allpeople 11 หลายเดือนก่อน +1

    Very informative and an excellent video. Please answer why do we put for Upper spec - Lower Spec =8 in minitab?

    • @learnandapply
      @learnandapply  11 หลายเดือนก่อน +1

      Thank you for your valuable comments and appreciation! 🙏😊
      The tolerance mentioned in the example was 8 microns. So, it was inserted there.

  • @Cagandenizd
    @Cagandenizd ปีที่แล้ว +1

    Thank you for the informations. I have a question, if we do not know the "upper spec-Lower spec" for these samples , (if there is no standards,or customer spects)
    How should we do? Do we calculate the tolerances and enter the these calculated tolerances ourselves?

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      That's a practical question.
      In this situation, you can either use the tolerances specified by your internal team, design team, or product development team.

  • @chialingtan8443
    @chialingtan8443 4 ปีที่แล้ว +2

    Hi Sir,
    Good Morning
    I have done the GR&R study at my tester ,but i always getting %Study Var value are more than 30% but The %tolerance is acceptable.
    Also NDC always getting 1 only may i know what is the actual causing i fail the study .
    Kindly advice..

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Thank you for your valuable comments.
      Good morning.
      As you are getting NDC as 1, you need to change the measuring device to more precise one.
      Currently, your measurement device is not able to separate the parts.

    • @chialingtan8443
      @chialingtan8443 4 ปีที่แล้ว

      do you mean the device value need to make sure precise one?

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Please change the measuring device with a other one having least count less than current one.

  • @Sian_Arul
    @Sian_Arul 2 ปีที่แล้ว +1

    Hello Sir,
    Part - 7 Video is not able to find.. Please share the Link to study

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว +1

      Hi Arul, this is a member-only video. Please join the channel to see it. 20% of videos in the channel are member-only videos. Thank you.🙏

  • @gabrielconnor5455
    @gabrielconnor5455 3 ปีที่แล้ว +2

    Thank you for your great video. What is relevant for deciding which method ANOVA vs. X bar & R in minitab to choose? Or is it all the same which method you choose! I can't go wrong?

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว

      Thank you so much for your valuable comments!
      ANOVA method is more accurate than the Xbar-R method due to the additional element of Operator by part interaction.

  • @ibragim_on
    @ibragim_on ปีที่แล้ว +1

    Thank you for the video. What is best Minitab or JMP (SAS)?

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      As I am using Minitab only, I can comment about the Minitab. It is the best and most effective statistical software.

  • @imaginebeyondlimits
    @imaginebeyondlimits 4 ปีที่แล้ว +2

    Sir plz explain how to select samples for msa study. If Dimn is 10.0 +/- 0.02 can i take sample outside from this limit like 10.03 or 9.97 for study.
    Plz explain sir

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      It is mentioned in the data consideration part of the video. Please go through it.
      Yes, you can.

  • @carlosarmelatrigo8110
    @carlosarmelatrigo8110 2 ปีที่แล้ว +1

    Thnak you for the vidio. Which MSA should I use if the measuring in process? That means there are not 2 or 3 operators, just one mesuring device and 10 parts to be measure 2 or 3 times.

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว

      Thank you for your valuable comments and appreciation 🙏☺
      Still, you have to use the Gage R&R study crossed. Although the reproducibility part is not there, you are measuring 10 different parts.
      If there is only one part with one operator, then you can go for a Type-1 gage study.

  • @chetnavatsa6083
    @chetnavatsa6083 3 ปีที่แล้ว +2

    Very helpful video, do you have a previous video explaining "distinct categories"? I could not understand the impact and relation properly.

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว +1

      Thank you so much for your valuable comments and appreciation!
      Yes, please see the 1st part video on MSA explaining all concepts in it.

  • @ozgurtekcan8304
    @ozgurtekcan8304 4 ปีที่แล้ว +2

    Great explanation of Gage R&R. Thanks for very educative video

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation

  • @44444cesc
    @44444cesc ปีที่แล้ว +1

    Where does Process tolerance =8 come from? I think you just copied the value that Minitab uses on their website. Can you please elaborate more on the process tolerance number used with an example? Thank you

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Hi Prashan,
      Thank you for your valuable comments. This process tolerance value is from the previous example that we have continued in this exercise. Yes, this example is from Minitab, so you can say that.
      The process tolerance value is the standard by which the capability of your process is determined. It is generally a 6*standard deviation in your process.
      Please reply to me if need further clarification.

    • @44444cesc
      @44444cesc ปีที่แล้ว

      @@learnandapply : Yes I would like further clarification since your video does not explain that number and just copied what Minitab website had. I don't think you can calculate process tolerance using standard deviation. Process tolerance value comes from the drawing requirement as desired by the customer. Is the the specification range.

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      I am not sure whether you read my earlier comment. It's from the previous example. If you calculate the standard deviation and multiply it by 6, you will get the process tolerance.
      Here, why 6 - because we are targeting Cp as 2. If you want to target Cp as 1.67, you can also consider process tolerance as a 5*standard deviation.
      You can also keep that blank if you have concerns about where it came from, or calculate process tolerance for the data using a formula. It's alright.

    • @44444cesc
      @44444cesc ปีที่แล้ว

      @@learnandapply : What if there is no previous data and we are qualifying a new equipment?

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      It's ok. You are collecting data for the MSA study, right?
      Please use that.

  • @azb0017
    @azb0017 3 ปีที่แล้ว +1

    What is the difference between %Contribution and %study variation ??? Both are telling us the amount of variation that can attribute to the factors? is that correct ??

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว +1

      Yes, but the contribution method talks about the % contribution of GRR in total variation, whereas in % Study variation 6*std dev to see the % of GRR in total variation.

    • @azb0017
      @azb0017 3 ปีที่แล้ว +1

      @@learnandapply Why would we need to do this ?? 6*SD ...why are we doing that ? isn't % contribution good enough ??

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว +2

      The purpose is different. The % contribution is used to assess the variation for each source of measurement error. Whereas, if you use the measurement system to evaluate process improvements, such as reducing part-to-part variation, %Study Var is a better estimate of measurement precision. If you want to evaluate the capability of the measurement system to evaluate parts compared to specification, %Tolerance is the appropriate metric.

  • @theperchjerker
    @theperchjerker 2 ปีที่แล้ว +1

    Vijay lol

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว

      Thank you so much for your valuable comments, and support ☺🙏

  • @shanmugavelayutham1394
    @shanmugavelayutham1394 4 ปีที่แล้ว +1

    Teach me about ANOVA.. I know u posted already.. need more method and different examples

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Ok. Do you want to join our training and certification courses?
      If yes, please contact us at info@learnandapply.org

  • @kevinwright3141
    @kevinwright3141 ปีที่แล้ว +1

    A brilliant video, many thanks! Really helped me conceptualise this better.

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation! ☺️🙏

  • @ishaqhussain3892
    @ishaqhussain3892 ปีที่แล้ว +1

    Very well explained, much appreciated.

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation! 🙏😊

  • @sifisomkhize3715
    @sifisomkhize3715 3 ปีที่แล้ว +1

    Thanks Vijay. You have unpacked the MSA very well

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว

      🙏🙏🙏😊
      Thank you again for your valuable comments and appreciation!

  • @bhaskarallada8512
    @bhaskarallada8512 5 ปีที่แล้ว +2

    well explained... keep it up

    • @learnandapply
      @learnandapply  5 ปีที่แล้ว

      Thank you for your valuable comments...

  • @wilawankaewmao3829
    @wilawankaewmao3829 2 ปีที่แล้ว +1

    Great video! Thank you for the explanation

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @barstan54
    @barstan54 ปีที่แล้ว +1

    very nice thank you

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Thank you so much for your valuable comments. Please share your friends and colleagues.

  • @sujalpanchal7079
    @sujalpanchal7079 2 ปีที่แล้ว +1

    Very helpful! Thank you very much

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation ☺🙏

  • @marysanchez2752
    @marysanchez2752 4 ปีที่แล้ว +1

    Is a great video, good explanation

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Thank you so much for your valuable comments.

  • @Yes_Piano
    @Yes_Piano 4 ปีที่แล้ว +1

    Thanks for the explanations

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Your welcome and thank you so much for your valuable comments!

  • @talhajattak7737
    @talhajattak7737 ปีที่แล้ว +1

    NICE

    • @learnandapply
      @learnandapply  ปีที่แล้ว

      Thank you so much for your valuable comments and appreciation 🙏☺️

  • @siu-yee
    @siu-yee 3 ปีที่แล้ว +1

    thank u

    • @learnandapply
      @learnandapply  3 ปีที่แล้ว +1

      Your welcome and thank you for your valuable comments!

  • @karanmodi6533
    @karanmodi6533 5 ปีที่แล้ว +2

    Awesome!

    • @learnandapply
      @learnandapply  5 ปีที่แล้ว

      Thank you for your valuable comments...

  • @elisagiammarini7659
    @elisagiammarini7659 4 ปีที่แล้ว +1

    Very useful. Thank you!

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      Thank you for your valuable comments..
      Please share it with your friends and colleagues..

  • @orangekitties44
    @orangekitties44 2 ปีที่แล้ว +1

    Good video buddy!!!

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว +1

      Thank you so much for your valuable comments and appreciation 🙏☺

    • @orangekitties44
      @orangekitties44 2 ปีที่แล้ว +1

      @@learnandapply by the way, you're English is very good! As a Russian speaker I've understood you clearly without any confusion. Keep up the good videos!

    • @learnandapply
      @learnandapply  2 ปีที่แล้ว +1

      That's a great feedback and appreciation.
      Sure, thank you 🙏☺

  • @JohnDo3648-0
    @JohnDo3648-0 4 ปีที่แล้ว

    I understand that if P values for operators and for parts are 0 in this example we accept the null Hypothesis. Which means we need to evaluate ore Measurement System.
    Did understand correctly?

    • @learnandapply
      @learnandapply  4 ปีที่แล้ว

      If p values are less than the significance level (generally 0.05 for 95% confidence interval), we reject the null hypothesis.
      And we need to evaluate our measurement system.

  • @harkiratsingh7014
    @harkiratsingh7014 5 ปีที่แล้ว +2

    Very Intuitive, Thank you for putting this together!

    • @learnandapply
      @learnandapply  5 ปีที่แล้ว

      Thank you for your valuable comments....