DOE-5: Fractional Factorial Designs, Confounding and Resolution Codes

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Institute of Quality and Reliability

Күн бұрын

In this video, Hemant Urdhwareshe explains basic concepts of Fractional Factorial Design, Confounding or Aliasing and Resolution of designs. Hemant is a Fellow of American Society for Quality (ASQ) and is certified by ASQ as Six Sigma Master Black Belt (CMBB), Black Belt (CSSBB), Reliability Engineer (CRE), Quality Engineer (CQE) and Manager of Quality and Organizational Excellence (CMQ/OE). The video would be useful to all those who wish to learn about use of fractional factorial designs to reduce number of runs in experiments. It will be also be greatly useful for preparing ASQ certification exams!

Пікірлер: 68

@clipeus87 4 жыл бұрын

Finally a clear video on fractional factorial design, thanks a lot!

@instituteofqualityandrelia7902 4 жыл бұрын

Glad it was helpful!

@stephenwright7274 3 жыл бұрын

Thanks for making these videos. Clear and to the point!

@instituteofqualityandrelia7902 3 жыл бұрын

I am glad you are finding these useful!

@User123rag Жыл бұрын

Excellent explanation! One gem of a collection!! Thanks a lot for your efforts.:)

@uhemant1 Жыл бұрын

Thank you so much Ragha Laxmi!

@GioPalencia 2 ай бұрын

Very clear and direct to the point. Thank you so much!!!

@instituteofqualityandrelia7902 2 ай бұрын

Thank you!🙏

@calsimeth1588 2 жыл бұрын

It makes so much more sense to me now! Thank you!

@instituteofqualityandrelia7902 2 жыл бұрын

I am glad to know! Thanks!

@philipaston8956 2 жыл бұрын

Thank you for this clear explanation of confounding and aliasing!

@instituteofqualityandrelia7902 2 жыл бұрын

Glad it was helpful!

@ankitverma8820 4 жыл бұрын

Wonderful explanation of confounding. Highly recommended for all.

@instituteofqualityandrelia7902 4 жыл бұрын

Glad it was helpful!

@rohanmore1774 4 жыл бұрын

Short and succinct !!! Thumbs up !!!

@instituteofqualityandrelia7902 4 жыл бұрын

Thanks a lot Rohan!

@Yun-Sura Жыл бұрын

Bless you for this explanation!

@instituteofqualityandrelia7902 Жыл бұрын

Thank you! Appreciate your feedback!

@AhmadAli-rm3pi 3 ай бұрын

very nice lecture i solute you thank you sir

@instituteofqualityandrelia7902 3 ай бұрын

So nice of you

@user-qn6zq2ek1l 10 ай бұрын

my goodness, that hand trick might help me remember on my IASSC test! thank you!

@instituteofqualityandrelia7902 10 ай бұрын

Thanks! Yes, the hands trick is a very easy way to remember the resolution codes and extent of confounding!🙏

@user-qn6zq2ek1l 9 ай бұрын

Hey I passed my IASSC test. This video surely helped explain confounding and a simple way to remember!! thanks again! @@instituteofqualityandrelia7902

@GyanVisharad 3 жыл бұрын

Very information sir..with simple example..Thanks

@instituteofqualityandrelia7902 3 жыл бұрын

Glad to know!

@mdmahmudulhasanmiddya9632 2 жыл бұрын

Unbelievable explanation.I am enjoying your vedio sir

@instituteofqualityandrelia7902 2 жыл бұрын

Thank you!

@parelectricengineeringllc1816 4 ай бұрын

Fantastic video. Great insight and excellent presentation

@instituteofqualityandrelia7902 4 ай бұрын

Glad you enjoyed it!

@marcouscangaolea1264 3 жыл бұрын

thanks a lot. Pretty useful this video is

@instituteofqualityandrelia7902 3 жыл бұрын

I am glad you found it useful! 😊

@item6931 6 ай бұрын

This is actually excellent.

@instituteofqualityandrelia7902 6 ай бұрын

Thank you! I am glad you found it useful!

@francoisl7663 7 ай бұрын

Excellent, thank you.

@instituteofqualityandrelia7902 7 ай бұрын

Welcome! Glad to know that you liked it!

@beshr1993 3 жыл бұрын

that actually helped, thank u :)

@instituteofqualityandrelia7902 3 жыл бұрын

Thanks! Good to know!

@TechAger 4 жыл бұрын

Very nicely explained Sir... Thanks

@instituteofqualityandrelia7902 4 жыл бұрын

I am glad you found it useful! Appreciate your feedback!

@vedantigandhi8209 3 жыл бұрын

You have explained the concept of confounding very well. Thank you for the nice explanation. I just have 1 doubt regarding fractional factorial design. Why did we choose ABC=+1 and not ABC=-1? Thanks a lot! :)

@instituteofqualityandrelia7902 3 жыл бұрын

Thank you Vedanti. ABC=+1 is the principal fraction. In this principal fraction confounding becomes additive, in the sense, effect of A is actually A+BC, for example. ABC=-1 can also be used if desired. In this fraction effect of A is A-BC, for example. One should be aware of this while selecting the fraction.

@rvijayaragunathan 2 жыл бұрын

superb.... well explanation sir ...

@instituteofqualityandrelia7902 2 жыл бұрын

Thanks and welcome

@mariaelenacerecedoarroyo5826 4 жыл бұрын

great video!! Can you recommend some books in order to study the resolution designs?

@instituteofqualityandrelia7902 4 жыл бұрын

Thanks for your interest! There are many good books. Design of Experiments by Montgomery is excellent reference. George Box's book is very good. My book 'Six Sigma for Business Excellence' is also provides good information on DOE as well as other Six Sigma Tools. If you outside India, you can still buy e-book on Amazon. Good luck!

@mdmahmudulhasanmiddya9632 2 жыл бұрын

Thank you

@instituteofqualityandrelia7902 2 жыл бұрын

You're welcome

@andresalbertocorimayhuasil142 3 жыл бұрын

Excellent video, it was really helpful. I got a question, what does a 3*2*2 factorial design means? I understood it refers to three factors and each of them with a specific level, i. e., the first factor has three levels, the second one has two levels, and the last one two factors as well. I thought it was a fractional factorial design. However, I tried to do this on STATISTICA and I could not find a design with 12 runs (according to 3*2*2). You would be so kind to help me to understand this. Thank you.

@instituteofqualityandrelia7902 3 жыл бұрын

This is not a usual convention. Experiments with different factor levels are called General Full Factorial Designs. You need to create a General Full Factorial Design in software as this is not a standard design.

@KNR85 3 жыл бұрын

"Experimenters have found that higher order interactions tend to be small and can be ignored often" Is there any reference book or something that we can use to support this statement for the research projects.

@instituteofqualityandrelia7902 3 жыл бұрын

Hello Nirushan kathiresu, I am repeating the same answer that I mentioned in your other similar question. Basically, the fractional factorisl designs are based on one of the principles known as Sparsity of Effects. According to the sparsity-of-effects principle, it is unlikely that complex, higher-order effects exist, and that the most important effects are the lower-order effects. Thus, assign the experimental units so that main (1st-order) effects and the 2nd-order interaction effects can be investigated. You can get many references for this.

@mdmahmudulhasanmiddya9632 2 жыл бұрын

Very good explain sir

@instituteofqualityandrelia7902 2 жыл бұрын

Thanks and welcome

@paolo7206 3 жыл бұрын

Good video

@instituteofqualityandrelia7902 3 жыл бұрын

Thank you!😊

@paolo7206 3 жыл бұрын

Nice video

@instituteofqualityandrelia7902 3 жыл бұрын

Thanks!

@ljay3280 2 жыл бұрын

How about a situation where you have 2 factors ,one with 7 levels and the other with 6 levels. Full factorial gives 42 runs. How do you run these with fractional factorial with less runs?

@instituteofqualityandrelia7902 2 жыл бұрын

Standard fractional factorial designs are available for two-level designs. In ur case, A has 7 and B has 6 levels. Fractional factorial design is not possible in this case as there are only two factors. If you have more factors with >2 levels, you need computer generated designs. For this you will need clear understanding of the degrees of freedom and your requirements.

@asfarnasir 4 жыл бұрын

What is the resolutuon of the discussed example?

@MrJewZie 4 жыл бұрын

3 or III

@instituteofqualityandrelia7902 4 жыл бұрын

@@MrJewZie Thanks for directly answering! Yes, the resolution of the design discussed in the vide is 3 or III as main effects are alliased with two-factor interactions!

@instituteofqualityandrelia7902 4 жыл бұрын

The resolution of the design discussed in the vide is 3 or III as main effects are alliased with two-factor interactions!

@dr.akankshasom2309 3 жыл бұрын

"Experimenters have found that higher order interactions of three and more factor tend to be small and can be ignored often"How did we reach this conclusion.

@instituteofqualityandrelia7902 3 жыл бұрын

Thanks for your question! Actually this statement is more of assumption based on 'The sparsity of effects principle'. This is more of an assumption that should be based on technical knowledge and judhement and needs to be validated based on analysis of experimental results. If the assumption is not valid, we should find low R-sq values, R-sq-pred values. The experimener is also taking some risk to save time and resources while reducing number of runs in fractional factorials. With best wishes..Hemant

@mdmahmudulhasanmiddya9632 2 жыл бұрын

Sir what is run?

@instituteofqualityandrelia7902 2 жыл бұрын

Run is a trial in an experiment

@mdmahmudulhasanmiddya9632 2 жыл бұрын

@@instituteofqualityandrelia7902 thank you sir