Monthly Archives: March 2019

  • 2019 Analytics Solutions Conference: You Know You Want to Go!

    The upcoming 2019 Analytics Solutions Conference is your opportunity to discover how others are using statistical tools [design of experiments (DOE), multivariate analysis (MVA) and process analytical technology (PAT)] to dramatically impact the bottom line.

    And registration is open for the conference!

    Reason #1 to be there: Keynote Speaker Dr. Geoff Vining. Jump-start your education by learning about leading-edge methodology with Geoff’s talk on “Solving Complex Problems”.

    These days, organizations need solutions for increasingly complex problems that are critical to their operation. Statistical engineering is the discipline dedicated to the art and science of solving these complex problems. These problems almost always are unstructured and typically large, crossing several disciplines. Typically, the data associated with them come from a wide variety of sources and thus usually look like a “mess.” The key is how to provide enough definition, data analysis, and structure to create a reasonable path to a truly sustainable solution.

    Statistical engineering provides a structure to determine which statistical and analytic tools/methods are appropriate depending on the circumstances, and it outlines how to create sustainable solutions efficiently and effectively. Ultimately, it is the discipline that helps practitioners determine “the right tool for the right job at the right time, properly applied.”

    This talk introduces this new discipline at a high level. It then outlines the important roles that both DOE and data analytics play in the solution of complex problems. In the process it emphasizes the importance of strategy and understanding exactly what the tools can and cannot do.

    Reason #2 to be there: Cost. At $495 (with the early bird special rates, in place until April 15), this is a truly inexpensive conference. With the tremendous value to be had in technical content for all audiences entry-level to advanced, and the great price point, this is a no brainer.

    Need more reasons to attend? More keynote speakers, fun networking opportunities, and summer in Minnesota!

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    Links:
    Registration: https://www.statease.com/asc-2019/asc-2019-registration
    Speakers: https://www.statease.com/asc-2019/asc-2019-speakers
    General Info: https://www.statease.com/asc-2019

  • 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.

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    * DOE Simplified is a comprehensive introductory text on design of experiments
    RSM Simplified is a simple and straight forward approach to response surface methods

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