topic Re: DOE approach in Discussions

DOE approach

YanivD — Sat, 10 Jun 2023 20:53:04 GMT

Hi,
Recently i have been asked if there is a reference for the following statement :
DOE approach is the optimal (best/only effective?) way to conduct experiments that will lead to data that can be analyzed and to a model or correlation and introductions.

Would appreciate it if someone can share an academic reference for thia kind of statement.

Thanks

Re: DOE approach

Victor_G — Thu, 13 Oct 2022 06:56:35 GMT

Hi @YanivD,

No doubt about this statement !
DoE is the best (and most efficient) method to get informations with a minimum number of experiments, and in some cases the only way to get specific informations like interactions between factors. It's a methodology that can also support sequential experimentation (through Design augmentation), so it's highly adaptable depending on your initial findings/results.
You can find different publications aiming to demonstrate the use and effectiveness of DoE. Among (many !) others, here are some publications or links I found:
- An example with a comparison between OFAT and DoE approach : https://www.benchmarksixsigma.com/forum/topic/35533-one-factor-at-a-time-ofat-experimentation/
- "A Design of Experiments (DoE) Approach Accelerates the Optimization of Copper-Mediated 18F-Fluorination Reactions of Arylstannanes" (take a look at Figure 2) : https://doi.org/10.1038/s41598-019-47846-6
- "Improvement of OFAT through DoE" 10e.xps (psu.edu)
- OFAT Vs DoE : D:DVICZITROM.DVI (psu.edu)

There are a lot of publications demonstrating the relevance and effectiveness of DoE, you can try searching for these papers on Google (or other search engines) by searching "comparison OFAT vs. DoE" or similar searches. There are also a lot of examples in the Community about successful DoEs, so take a look at JMP Discovery papers and presentations.

Hope this first answer will help you,

Re: DOE approach

YanivD — Thu, 13 Oct 2022 06:57:20 GMT

Thanks a lot! Great

Re: DOE approach

Mark_Bailey — Thu, 13 Oct 2022 12:40:30 GMT

I also recommend the book, "Optimal Design of Experiments: A Case Study Approach," by Peter Goos and Bradley Jones, if you are going to use JMP to design and analyze your experiments.

Re: DOE approach

statman — Thu, 13 Oct 2022 13:03:46 GMT

More papers for folks new to DOE approach:

https://williamghunter.net/george-box-articles/statistics-for-discovery

https://williamghunter.net/george-box-articles/statistics_as_a_catalyst_to_learning

https://williamghunter.net/george-box-articles/the-scientific-context-of-quality-improvement

I'm obviously a fan of G.E.P. Box...

I will add, there are other ways to get data to provide insight to causal relationships. When you have a lot of factors to consider, directed sampling (component of variation) studies are quite useful.

Re: DOE approach

Byron_JMP — Thu, 13 Oct 2022 14:00:23 GMT

Use Google Scholar and Google DOE, or more specfically JMP, DOE. Its getting diffcult to keep up with the number of papers that use DOE in my field. In general the use of DOE in academic publications has grown alot.

About 4,660 results in 2022