V
Hi all
I work with new product Quality. The product is not even into the market and still in pre production and Testing stage (Prototyping).
We are in the process of finding out the reasons why we get a strength (durability) of 90 units in the lab but we only get 60 units when we put it to manufacturing.
It involves only a few process steps. How can we go about in identifying significant factors. Cause and Effect diagram and 5 Why analysis?
Once we identify them should we go for Regression or Correlation or ANOVA or DOE ?
I also would like to know the general difference between using Regression, T- Test, DOE or ANOVA. What is the difference between these approaches? and Any Special Cases to use them?
I work with new product Quality. The product is not even into the market and still in pre production and Testing stage (Prototyping).
We are in the process of finding out the reasons why we get a strength (durability) of 90 units in the lab but we only get 60 units when we put it to manufacturing.
It involves only a few process steps. How can we go about in identifying significant factors. Cause and Effect diagram and 5 Why analysis?
Once we identify them should we go for Regression or Correlation or ANOVA or DOE ?
I also would like to know the general difference between using Regression, T- Test, DOE or ANOVA. What is the difference between these approaches? and Any Special Cases to use them?