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2022 Online DOE Summit
Register now for the 2022 Online DOE Summit!
We're excited to host the upcoming 2022 Online DOE Summit, the premier conference on practical applications of industrial design of experiments (DOE). This year, we have 13 speakers giving talks on a variety of industry-based DOE practices and case studies. Join us on October 4-6 for these enlightening presentations, and learn how you can use DOE to make breakthrough improvements in your processes and products.
Some highlights this year:
- Stat-Ease President Martin Bezener will discuss when, how, and why to use mixture designs
- Geneticist Randall Niedz will showcase five examples of how DOE can be used in horticulture, plant breeding, and genetic applications
- Researchers JoAnn Coleman (pharma) and Jay Davies (military) will discuss implementation and applications of DOE within their business units
Registration for our Summit is absolutely FREE! These talks are given as webinars, and will all be recorded for posterity on our YouTube channel, Statistics Made Easy by Stat-Ease. Technical professionals from around the globe are invited to attend the live in-person sessions via GotoWebinar, or plan to watch the on-demand recordings after the conference.
Here's a quick collection of links to our Summit pages & information:
We look forward each year to bringing expert DOE professionals to our Online DOE Summit so our software users can learn tips, tricks, and strategies from one another. This conference is open to anyone who wants to attend, so please share this event with anyone you think might be interested.
See you in October!
Design of Experiments (DOE): The Secret Weapon in Medical Device Design
“Multifactor testing via design of experiments (DOE) is the secret weapon for medical-device developers,” says Stat-Ease Principal Mark Anderson, lead author of the DOE and RSM Simplified series*. “They tend to keep their success to themselves to keep their competitive edge, but one story, that we can share, documents how a multinational manufacturer doubled their production rate while halving the variation of critical-to-quality performance. That’s powerful stuff!”
The case study that Mark is referring to can be found here: RSM for Med Devices.
Stat-Ease has guided many manufacturers in the medical device industry in the streamlining of their products and processes. Now, we have put that experience together into one place, the Designed Experiments for Medical Devices workshop.
In this one-of-a-kind workshop, learn how to optimize your medical device or process. Our DOE experts will show you how to use Design-Expert® software to help you save money or time while ensuring the quality of your product. We welcome scientists, engineers, and technical professionals working in this field, as well as organizations and institutions that devote most of their efforts to research, development, technology transfer, or commercialization of medical devices. Throughout this course you will get hands-on experience while using cases that come directly from this industry.
During a fast-paced two days, explore the use of fractional factorial designs for the screening and characterization of products or processes. Also see how to achieve top performance via response surface designs and multiple response optimization. Practice applying all these DOE tools while working through cases involving medical device design, pacemaker lead stress testing, and typical processes that may be used in the testing or production of these devices such as seal strength, soldering, dimensional analysis, and more.
For dates, location, cost, and more information about this workshop, visit: www.statease.com/training/workshops/class-demd-adin.html
About Stat-Ease and DOE
Based in Minneapolis, Stat-Ease has been a leading provider of design of experiments (DOE) software, training, and consulting since its founding in 1982. Using these powerful statistical tools, industrial experimenters can greatly accelerate the pace of process and product development, manufacturing troubleshooting and overall quality improvement. Via its multifactor testing methods, DOE quickly leads users to the elusive sweet spot where all requirements are met at minimal cost. The key to DOE is that by varying many factors, not just one, simultaneously, it enables breakthrough discoveries of previously unknown synergisms.
* DOE Simplified is a comprehensive introductory text on design of experiments
RSM Simplified is a simple and straight forward approach to response surface methods