Taguchi Robust Design Of Experiment - 6 Sigma Tutorial
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- เผยแพร่เมื่อ 10 ก.ย. 2024
- Many people complain about variables they can not control saying 'there is nothing we do!' With a Taguchi Robust Design of Experiment technique there is a lot you can do to make your process Robust to that variation...This is a great approach that you should be covering on your 6 Sigma training...
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BOOK LINKS
Drink tea and read the paper - www.lulu.com/e...
Design of Experiments for 21st Century Engineers - www.lulu.com/e...
Statistical Process Control for Small Batch Production - www.lulu.com/e...
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If all the Professors of Engineering and Business in all the Universities and Colleges in the world could please watch the teaching style and clarity of Paul Allen and use it to explain such concepts as ‘Efficiency’, ‘Effectiveness’, ‘Control’ , ‘Optimization’ and ‘Capability’ to their students then the World would quickly improve in so many ways. We are being held back back a Higher education system that is not fit for purpose. There are of course some notable exceptions to that rule ... and some great teachers who work in Universit
John - Many thanks for the kind words...
Thank you for your excellent explanation! It is a pleasure watching your videos! I wish I can become a teacher like you in the future.
You are welcome!
Bought your SPC book on the strength of this video. Good stuff man, loving your work.
Derek - many thanks for your support, please spread the word.....
Have already been sharing your video on CPK improvement as well. Went through a chunk of your back catalogue last night and really enjoyed everything I watched. Keep up the good work! Will look forward to reading the book - also, massive respect for the nod towards wheeler you made in your SPC video, he's one of my favourite writers!
very good explanation. thank you! 👍👍
Glad it was helpful Shahidah...
Very well explained lije always. Great job Paul!
Glad you liked it!
Thanks Paul ! This video is very helpful !! 😊
Glad it was helpful!
Really thank you so much
No problem
Nice explanation, thanks for the lecture.
Rudra - I have another in the camera which is a case study showing Taguchi robust DOE being used to find some really great robust settings...I'll load it later
Excellent explanation sir
thanks Simachew....
Thx sir . It is a real good video.
Thanks again Khaled..
Thanks a lot!!!
You're welcome!
Isn't this considered a block factor? Blocking the DOE into 3 humidity instances?
Thanks
It is similar - but in blocking you know the levels usually in taguchi you know there is noise and you let it into the DOE
Good explanation!!
Glad you think so!
Hi, i would like to know, if i have 3 factors, with 1 factor woth 3 levels, and 2 factors with 5 level..is it possible i can use taguchi method?
Anna - please drop me a message on my mail address and we'll discuss it further..
Paul.allen@allenp.co.uk
You are fucking awesome
quite right!!
great
Thanks...
Hi Paul, I have been following your videos, thanks. I have a question for you, IS IT POSSIBLE TO RUN A DOE, based on MODELS, without actually performing an experiment? for example if a response variable depends on 3 factors with a Mathematica model such as y = logx1 + sinx2 +e^x3? Can I run a design of a experiment with logical levels for x1 x2 and x3, and then observe interactions?
Jide - great to hear from you, the simple answer is yes you can do that, you simply create a table based on the input variables, you will only get one data point per combinations. but you will get the interactions as well. I will make a video about this in the new year. Because you've got log values, the DOE will not be linear. So a CCD would the best choice I would guess...
@@paulallen5321 Thanks Paul and I await your video next year. By the way, the equation I dropped in the message was just an hypothetical example. The real stuff is a multiple factor, and multiple response analysis using a math model for woven fabrics. Thanks again
Nicely explained, as always =)
This does assume that those parameters have a linear effect, right? Or can you also do this type of DoE if a parameter has an optimum (so a 'better' point than either of the extremes)?
In this case Tom the robust approach was attached to an L12, but as far as I know you can attach it to any DOE type as long as you replicate so that SD can be estimated it will work.
By the way the Robust case study has been loaded to my channel as well...
@@paulallen5321 I know - liked that one too (th-cam.com/video/2JuYwZ7fS7k/w-d-xo.html). Just though that this question fits this more general video better.
Lets see Paul Allen's Taguchi Robust Design
Thanks Friendly...