Senior Systems Engineer Phil Kay introduces Process Understanding as reason #2 in his series of talks titled Why DOE? A self-professed lover of Design of Experiments, Phil’s series attempts to explain the science behind DOE and help demystify the most common terms and concepts that can sometimes derail a new practitioner’s efforts. In this episode, Phil reviews the ground he covered in part one of the series, dives deeper the experimental efforts he introduced in episode one, before concluding with an in-depth discussion of how to use the data from DOE to better understand our process so we can learn from any setting within our possibility space – not just the ones that we’ve actually tested.
See my blog post here.
And the related JMP Public reports.