Vol. 22, No. 3 - May/June 2022
Dear Experimenter,

I am happy to share another answer or two from our statistical consulting team to frequently asked questions (FAQs) about design of experiments (DOE), as well as timely alerts for events, publications, and software updates. Check it out! Feel free to get back to me via [email protected] with further questions or comments: I would really appreciate hearing from you!

Please do not send me requests to subscribe or unsubscribe, follow the instructions at the end of this message.

Sincerely,
Mark J. Anderson, PE, CQE
Engineering Consultant, Stat-Ease, Inc.

PS Quote for the day:
Tesla’s slam on Edison for spending too little time on theory before going to trial-and-error experimentation
.

(Page down to the end of this e-zine to enjoy the actual quote.)
BLOGS
StatsMadeEasy Blog
My wry look at all things statistical and/or scientific with an engineering perspective.
Also, see the Stat-Ease blog for tips on making DOE easy. For example, a recent posting provides insights on “Understanding Lack of Fit: When to Worry.” Take a look!
FAQ
Overall desirability for optimization not very high

Original question from a Research Scientist:
Thanks for your inspiring webinars. I noticed that some of examples end up with a very small desirability value during optimization. Will this affect your judgement about the applicability of the DOE results? How to overcome?

Answer:
Good question. Though higher the better, anything above zero desirability serves for achieving the optimum settings within the experiment-design space for one or more goals. However, a low desirability indicates room for improvement by further experimentation.
- Mark


(Learn more about multiple response optimization via desirability for process factors by attending the next presentation of Modern DOE for Process Optimization. If you seek the sweet spot for component levels in a formulation, sign up for Mixture Design for Optimal Formulations.)
EVENT ALERT
2022 Online DOE Summit: Call for Speakers
Get ready for the Stat-Ease 2022 Online DOE Summit on October 4-5. We invite you to join us for the world’s premier conference on practical applications of DOE. Our Summit is presented virtually, free of charge! Do you have a story to tell? If so, consider sharing your DOE success. We invite you to submit an abstract to speak at the 2022 Online DOE Summit. We want to know how DOE done with the aid of Stat-Ease software accelerated your R&D or facilitated manufacturing improvements. If selected as a speaker, you will be given 15-20 minutes to showcase your DOE achievements. No travel is required—all sessions will be held virtually. Submit abstracts up to 1 page by June 15 to Shari Kraber, Stat-Ease Online DOE Summit Organizer, via [email protected].

American Chemical Society: Central Regional Meeting
I will present a talk on “How to Unveil Breakthrough Synergisms Between Mixture and Process Variables” at the Central Regional Meeting (CERM) of the American Chemical Society (ACS) on June 10th in Ypsilanti, Michigan. See details on CERM here. My presentation will be in the session on Data Science in Chemical Research.


Click here for these and other upcoming appearances by Stat-Ease professionals.
 
PS Do you need a speaker on DOE for a learning session within your company or professional society at regional, national, or international levels? If so, please get back to me. – Mark
WEBINAR ALERT
Free webinars—Sign up now to take advantage
On Wednesday, June 1 at 10 am CDT I will present “Deploying DOE to Accelerate R&D on Food and Beverages”. Via a series of case studies, this webinar demonstrates multicomponent and multifactor design-of-experiment (DOE) tools for optimal formulation and processing of foods. See how these tried-and-true statistical methods, made easy by Stat-Ease software, empower experimenters to quickly converge on the “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost.

Webinário em Português!
Na quinta-feira, 23 de junho às 12h (horário de Brasília), Márcia Cristina Breitkreitz apresentará "Aspectos fundamentais de Planejamento de Experimentos." Aprimore seus conhecimentos em Planejamento Experimental (Design of Experiments, DOE) por meio deste webinar que abordará os fundamentos desta ferramenta multivariada essencial. Esta explicação rápida irá mostrar porque o Planejamento de Experimentos (DOE) é uma ferramenta estatística tão eficaz para acelerar  sua pesquisa e desenvolvimento. Descubra como é possível identificar fatores importantes e possíveis interações.

Click here to view the times, descriptions and registration links for all upcoming live webinars. Sign up now to advance your DOE know-how!
INFO ALERT
The May issue of Quality Progress features my article on “Not Missing a Trick, Fun Physics Experiment Reveals the Magic of Multifactor DoE Testing”. Using bouncy balls, I developed a simple experiment done with my grandson that generated significant interactions, thus demonstrating how breakthrough interactions are revealed by the multifactor testing approach of statistical DOE. See the manuscript here. Enjoy!
WORKSHOP ALERT
Sharpen up on DOE—Enroll before classes fill

You can do no better for quickly advancing your DOE skills than attending a Stat-Ease workshop. Our expert instructors provide you with a lively and extremely informative series of lectures interspersed by valuable hands-on exercises. Enroll early to ensure your spot! See this web page for the complete schedule of upcoming Stat-Ease courses. To enroll in the workshop that suits you best, click Register on that webpage, or click here to contact us.
 
PS If you lead a group of 6 or more colleagues, save money and customize content via a private workshop. For a quote, please contact us
“If Edison had a needle to find in a haystack, he would proceed at once with the diligence of the bee to examine straw after straw until he found the object of his search...I was almost a sorry witness of such doings, knowing that a little theory and calculation would have saved him 90 percent of his labor.”
 

—Nikola Tesla, The Icepick Surgeon: Murder, Fraud, Sabotage, Piracy, and Other Dastardly Deeds Perpetrated in the Name of Science, Sam Kean
Stat-Ease, Design-Expert and Statistics Made Easy are registered trademarks of Stat-Ease, Inc.

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