Hello,

I hope I have the best forum to get a good response on this one.

I am approching a couple projects both professionally and personally where a keen understanding of DOE are required. So I went to Barnes and Noble to find a good textbook and found the following problem:

Many statistics text books have a DOE chapter but all only menton full factorial DOE. "single variable tests" are not helpful to me. I am very interested in educating myself on process optimization, picking which variable combinations to populate my study with, and how to interpret/compute results to determine the level of sensitivity of each input to the result. Specifically when I have insufficient samples to run full factorial.

I'm looking for a textbook recommendation if anyone has one that can really get into non-full factorial DOE methods and data analysis.

Thanks guys,

Steve

 

You should google "taguchi method".

http://www.itl.nist.gov/div898/handbook/pri/section5/pri56.htm

see figure 2:
http://www.scielo.br/scielo.php?pid=S1516-14392008000200008&script=sci_arttext

I have not seen this book in person, but used is "only" 14 bucks:
http://www.amazon.com/Engineering-M...=sr_1_1?s=books&ie=UTF8&qid=1347843333&sr=1-1

BTW, there are several software packages which have DOE analysis capabilities:
* echip
* minitab
* jmp
Many have a free 30 day trial