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during these four weeks training, I learned more and more 6-sigma method and skills, the most important thing is that I have a good improvement for my presentation skills.I have more confidence for myself.This training have good training materials and good time plan.combined with teaching and practices, we can learned more easy and happy. and also the training content were very useful for our daily work. We are all very enjoyed this training.

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DOE training by tool "JMP"

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DOE analysis.

how to use JMP.

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DOE is very important and useful tool for problems solving

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DOE is very important and useful tool for problems solving

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Doe training with many factors. JMP how to use it

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Will learn DOE test knowledge and JMP software

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Will learn DOE test knowledge and JMP software

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DOE training

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one way，two way ，three way analysis，two factors interaction，how to evaluation the correlation eqution

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one way，two way ，three way analysis，two factors interaction，how to evaluation the correlation eqution

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find he correlation between variables and response by DOE, and the direction of variable optimization

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easy DOE and DSD by tool "JMP"

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easy DOE designs

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Easy DOE using JMP

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Because I have never used this software, it is still difficult to learn，But comparing the mintab is a lot easier. I am looking forward to further learning, and I hope the process will be a little slower. Some professional vocabulary still needs time to understand

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use JMP to do easy DOE and DSD

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CNX analysis. reviewed the meanings of X1,X2,X3 and X4.

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CNX analysis. reviewed the meanings of X1,X2,X3 and X4.

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learn the DSD PBD screening tooling

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we study six ways to do doe like easy doe，PBD，dsd，space filling，fractional factional，and 😳

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i learnd plackett burman design. main effects screening design.

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We have learned some Screening design of DOE

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different DOE type, definitive screening design,plackett-burman design,main effects screening design,space filling design,two-level fractional factorial experiments, use response optimize to reach target by catapult game

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Better understanding for 6sigma theory and tools by last 4weeks training, combine with many interesting games proceeded. More understanding for JMP software to do DOE analysis seems much powerful than minitab. DMAIC flow is Very helpful for us to solve real problems in daily work.

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freedom definition and calculation. taguchi design method，trial lines confirm

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freedom definition and calculation. taguchi design method，trial lines confirm

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Robust optimize method in Teguchi expericement

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Robust optimize method in Teguchi expericement

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Taguchi experiment design and comparison between classical and Taguchi

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Taguchi experiment design and comparison between classical and Taguchi

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Taguchi design and freedom calculation

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taguchi design,how to calculate freedom,how to select the properly Taguchi's orthogonal array

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We learned Taguchi design. and orthogonal array of 2-lever, 3-lever

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how to define the linear and use Anova.Doe is important and it also a new knowledgeable for me.

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use JMP to do FFD and RSM, how to analysis the results

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FFD and RSM, how to do the tolerance design

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Understanding for FFD and RSM, use JMP to run DOE and data analysis.

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full factorial design ，when have the quadratic curvature P value less than 0.05，do the augment test

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full factorial design ，when have the quadratic curvature P value less than 0.05，do the augment test

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how to define the factorial point and center point，then how do compare the factorial point and center point

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experimental designs with optimization approach,5 ways include :3 level Taguchi, 3 level FFD,BDD,RSM,GFFD,.RSM is the son of FFD

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yesterday i learned 2 level full factorial design.

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taguchi model is perfect. it can reduce my project test quantity. And extend model at RSM，FFD

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review and practice ANOVA,deeply understand how to use ANOVO to find out significant factors

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New tooling for DOE.

Easy use and good summarize but not free

Still need focus on minitab when using

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very useful and very important, but also challenging for me. Anova let me know how to process data and find abnormal points, to find significances or not between X variables and response. DOE looks complex and difficult, need cost more time to learn. We need to master the screening factors, FFD, and RSM or new experiments.

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very useful and very important, but also challenging for me. Anova let me know how to process data and find abnormal points, to find significances or not between X variables and response. DOE looks complex and difficult, need cost more time to learn. We need to master the screening factors, FFD, and RSM or new experiments.

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In summary, 6sigma is part of the concept of statistics.During the four weeks of study, I felt that I had a new understanding of this idea of continuous improvement. Not only did I improve my skills, but I also learned many tools and improvement techniques.Ten days of doe analysis filled the gaps in my knowledge. Thanks for a very enjoyable training, an active classroom atmosphere, and the best teachers. If you ask about the learning effect, to borrow the expression of cpk, I have been from small 1.33 to close to 1.67

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Learn 6 sigma systematically , theory knowledge and tools, useful for quality control, after training, I will review and implement those in my daily work

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learn how to use the tools in minitab and JMP do the experiments design, analysis, and to reach the best target

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It is real a good experience for me to ettend this training. I learned a lot of six sigma knowledge during these time and pleasure to meet two real good masters.Thanks for their wonderful lecture.

Before Green six sigma training，I just know little about it and know it is very useful for work. So I am here for this training. After training，I learned DMIC method to process the sigma project and learned a lot of sigma tooling like DOE. Minicab JMP. this training is real a good one.

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Very useful training  for me. Learned a lot of methods to solve problems. and let six sigma keep in my mind for work

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Very useful training  for me. Learned a lot of methods to solve problems. and let six sigma keep in my mind for work