Dear Experimenter,
Here’s a fresh set of answers to frequently asked questions (FAQs) about design of experiments (DOE); plus timely alerts for events, publications and software updates. Check it out!
- Mark
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(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 “Greg’s DOE Adventure - Simple Comparisons”. Check it out!
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Topics in the body text of this DOE FAQ Alert are headlined below (the “Expert” ones, if any, delve into statistical details):
- Software Alert: Version 12 of Design-Expert® software (DX12) released and updated!
- Webinar alert: DX 12 featured this fall with an overview of what’s new, followed by a deep dive into its new tools for logistic regression—vital for binary responses (e.g., pass/fail)
- FAQ: Augmenting a two-level factorial to a central composite design causes some settings to go out of range
- Info alert: Applications of DOE in Engineering and Science: A Collection of 64 Case Studies
- Events alert: Medical Design & Manufacturing Minneapolis Conference and Expo
- Workshop alert: From Minneapolis to Edison to Sarajevo—learn DOE from the masters
P.S. Quote for the month: A gem from George Box.
(Page down to the end of this e-zine to enjoy the actual quote.)
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We are very happy to announce the release of Design-Expert version 12, which offers many ‘must-have’ enhancements for design, analysis and interpretation of experiments. It runs on Microsoft Windows and Apple macOS. Here are my favorite new features:
- Logistic regression for binary responses—essential for dealing with pass/fail outcomes
- Kowalski-Cornell-Vining (KCV) models that greatly reduce runs in combined mixture-process designs,
- 3D scatterplot to see results from all angles
- Synchronized side-by-side view of half-normal and Pareto plots of effects
- Multi-graph ‘notebook’ to visualize modeled responses
- Dockable legends for flexible viewing.
Click here and scroll all the way down for the full story and the Buy Now link to purchase a new or upgraded license to DX12. If you would like to try before you buy, click for a Free Trial.
P.S. - If you became an early adopter of our new Design-Expert release before it achieved its current revision 12.0.3, then download the update from within the program. To see all the details on major (v11 to v12) and minor (v12 maintenance) revisions, view the Full Changelog via Help, Contents and What’s New. If you want to receive notice when an update becomes available, go to Edit on the main menu of your program, select Preferences and, within the General tab (the gear icon at the right), turn on (if not already on by default) the “Check for updates on program start” option.
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Shari Kraber will present an overview of “What’s New in DX12” the second week of October, followed up in early November by Martin Bezener’s detailing of “Practical Considerations in the Design and Analysis of Experiments with Binary Data”. For abstracts and times for these free, live webinars, go to www.statease.com/webinars.
Shari will provide the highlights for innovative new tools and graphical presentations in version 12 of Design-Expert software. Enjoy an enlightening demonstration of DX12’s fabulous new capabilities presented at a beginner’s level.
At a more advanced level, Martin will focus on DX12’s new tools for logistic regression. After providing a primer on the statistical aspects, he will lay out real-life examples that benefit from specialized modeling for binary response. Martin concludes with his views on future developments in logistic regression for the benefit of industrial experimenters. If you are well-versed in DOE or advising researchers on applied statistics, do not miss this opportunity to be advised by an expert.
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Original question from a Director of Process Organic Chemistry:
“Per your helpful advice, we carried out a characterization experiment with the recommended center points. Design-Expert’s analysis revealed significant curvature. It’s important enough that we want to use the software tools for augmenting the initial two-level experiment into a multilevel central composite design (CCD) for response surface methods (RSM). However, to generate effects, we set the ranges on our first experiment very aggressively—outside of what we would normally run. The defaults for augmentation put axial points outside of the original space, causing two of our factors to go out of bounds--solvent volumes lower than anything practical and catalyst levels going negative. How can we realistically proceed with our strategic series of experiments?”
Answer from Stat-Ease Consultant Shari Kraber:
“Start by augmenting to a standard central composite design. Then manually edit the axial levels that are out too far by bringing them in to the face of the cube (the -1 or +1 levels). This is a common practice to make the CCD fit within a defined space. If you need more guidance, send the data file.”
(Learn more about factorial designs, RSM and good strategy of experimentation by attending the three-day computer-intensive workshop on Modern DOE for Process Optimization. Click the title for a description of this class and registration details.)
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Congratulations to Leonard Lye, Professor Emeritus at Memorial University of Newfoundland, for publication of his e-book “Applications of DOE in Engineering and Science: A collection of 64 case studies”. You can freely download this outstanding array of success stories, as well as all of the data sets (both in Excel and Design-Expert formats) from www.statease.com/case-studies/applications-of-doe-in-engineering-and-science. |
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(Second notice) Marketing Manager Greg Campbell, accompanied by various Consultants, will exhibit Stat-Ease software at the Medical Design & Manufacturing (MD&M) Expo in Minneapolis on October 23-24. Please stop by to visit. Get your free expo pass, saving $200 on the conference, here.
Shari Kraber will speak at the Minnesota ASQ Conference on November 13 about “Designing ‘Risk-free’ Experiments to Achieve Success”, accompanied by Greg at the Stat-Ease exhibit. They look forward to seeing quality professionals from this upper Midwest region.
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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 at least 6 weeks prior to the date so your place can be assured—plus get a 10% “early-bird” discount.
Experiment Design Made Easy (EDME)
November 21-22, Sarajevo, Bosnia-Herzegovina
December 3–4, Minneapolis, MN, USA (nearly sold-out)
January 28-29, San Diego, CA, USA
Modern DOE for Process Optimization (MDOE)
December 3–5, Minneapolis, MN, USA (nearly sold-out)
January 28-30, San Diego, CA, USA
Mixture Design for Optimal Formulations (MIX)
October 22-23, Edison, NJ, USA
See this web page for complete schedule and site information on all Stat-Ease workshops open to the public. To enroll, click on the workshop of your choice or email our Lead Client Specialist Rachel Poleke at [email protected]. If spots remain available, bring along several colleagues and take advantage of quantity discounts in tuition. Or, consider bringing in an expert from Stat-Ease to teach a private class at your site.*
*Once you achieve a critical mass of about 6 students, it becomes very economical to sponsor an on-site workshop, which is most convenient and effective for your staff. For a quote, email [email protected].
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I hope you learned something from this issue. Address your general questions and comments to me at: [email protected].
PLEASE DO NOT SEND ME REQUESTS TO SUBSCRIBE OR UNSUBSCRIBE—
FOLLOW THE INSTRUCTIONS AT THE END OF THIS MESSAGE.
Sincerely,
Mark
Mark J. Anderson, PE, CQE
Principal, Stat-Ease, Inc.
"Make the most from every experiment!"
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“The only way to know how a complex system will behave — after you modify it — is to modify it and see how it behaves.”
- George Box
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Trademarks: Stat-Ease, Design-Expert and Statistics Made Easy are registered trademarks of Stat-Ease, Inc.
Acknowledgements to contributors:
- Students of Stat-Ease training and users of Stat-Ease software
- Stat-Ease consultants: Pat Whitcomb, Martin Bezener, and Shari Kraber
- Stat-Ease programmers: Hank Anderson, Joe Carriere, and Mike Brownson
- Stat-Ease business staff—Cathy Hickman, Greg Campbell, and Rachel Poleke—who provide such supreme support!
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