Here is part 1 of this 3-part series:
And here is part 2:
Finally, here is part 3:
You can learn more from the DOE module of the free online Statistical Thinking for Industrial Problem Solving course. Enroll here.
In this series I talk about:
- Why you should use Design of Experiments, why you need to experiment to understand your processes, the problems with traditional one-factor-at-a-time (OFAT) trial and error.
- The explosion of possibilities in multi-factor space, the power of being able to test all the possible combinations of factors for a process or system with many factors.
- The history of corn yields and DoE methods, how you can efficiently and effectively understand your processes to get products to market faster.
Data examples that were used for the JMP demos are attached.
Part 2 and 3 Experiments for simple and complex systems.jrn
