Design of Experiments

  • How To Save Costly Project Engineering Time With This Innovative Application of Response Surface Models (RSM)

    By Guest Author Nate Kaemingk

    Lead engineers are incredibly overworked and their time is disproportionately valuable compared to some more junior engineers. But when it comes to doing project cost estimations, we don't have much of a choice but to ask some of these high-value engineers for the estimates if we want a realistic level of accuracy. Plus, the unfortunate reality is that many project costs end up being too high to justify the screening business case Continue reading

  • Five Keys to Increase ROI for DOE On-Site Training

    By Shari Kraber

    A recent discussion with a client led to these questions—“How do we keep design of experiments (DOE) training “alive” so that long-term benefits can be seen? How do we ensure our employees will apply their new-found skills to positively impact the business?” In my 20+ years as a DOE consultant and trainer, I have seen many companies who invested in on-site training, only to have it die a quick death mere days Continue reading

  • Adding Intervals to Optimization Graphs

    Design-Expert® software provides powerful features to add confidence, prediction, or tolerance intervals to its graphical optimization plots. All users can benefit by seeing how this provides a more conservative ‘sweet spot’. However, this innovative enhancement is of particular value for those in the pharmaceutical industry who hope to satisfy the US FDA’s QbD (quality by design) requirements.

    Here are the definitions: Continue reading

  • Choosing the Best Design for Process Optimization

    Ever wonder what the difference is between the various response surface method (RSM) optimization design options? To help you choose the best design for your experiment, I’ve put together a list of things you should know about each of the three primary response surface designs—Central Composite, Box-Behnken, and Optimal.

    Central Composite Design (CCD)

  • Tips and Tricks for Navigating Design-Expert® Software

    We’ve designed Design-Expert® software to be flexible and user-friendly. For those of you who haven’t had a chance to fully explore its capabilities, here are some tips to help you navigate the software and find options that are useful for you:

    • The all-new Design Wizard asks you a series of questions, and then directs you to a starting design! You may want to modify things from here, but it’s a great starting Continue reading
  • Don’t Let R^2 Fool You

    By Pat Whitcomb

    Has a low R2 ever disappointed you during the analysis of your experimental results? Is this really the kiss of death? Is all lost? Let’s examine R2 as it relates to factorial design of experiments (DOE) and find out.

    R2 measures are calculated on the basis of the change in the response (Δy) relative to the total variation of the response (Δy + σ) Continue reading

  • DOE Simplified, 3rd Edition Now Available

    The third edition of DOE Simplified: Practical Tools for Effective Experimentation is now available. This comprehensive introductory text is geared towards readers with a minimal statistical background. In it, the authors take a fresh and lively approach to learning the fundamentals of experiment design and analysis. This edition includes a major revision of the software that accompanies the book (via trial download) and sets the stage for introducing experiment designs where the Continue reading

  • Check Out the Stats Made Easy Blog

    If you haven't discovered Mark Anderson's Stats Made Easy blog yet, you may enjoy checking it out.  Mark offers a wry look at all things statistical and/or scientific from an engineering perspective. You will find posts on topics as varied as nature, science, sports, politics, and DOE.  His latest post, Conqueror paper dominates in flight test, involves fun with paper airplanes.  Take a look and feel free to share your comments. One is never too old for paper airplanes! Continue reading

8 Item(s)

per page