FAQ
How to handle hard-to-change factors
Original question from a statistican:
“I watched your webinar on Powerful DOE Tools to Catalyze Oil, Gas and Petrochemical R&D. One of your examples was a 5-factor design to maximize yield of a chemical reaction in a continuous stirred tank reactor (CSTR). But, what if factors such as temperature and atmosphere (nitrogen or air) cannot be easily randomized due to them being hard to change? Does Stat-Ease software support split plot factorial designs and/or response surface methods (RSM) for process optimization?”
Answer:
Yes, Stat-Ease software provides split-plot designs for factorials, RSMs (see screen shot below for CSTR case), mixture designs and combined designs (mixture and/or process and/or categorical inputs).
Although fully randomized designs provide maximum power for factorial effect and precision for RSM predictions, split plots often provide the only practical way for experimenters to deploy DOE. For a demonstration of these tools, see our recorded webinar on Split-Plot Pros and Cons: Dealing with a Hard-to-Change Factor.
(Learn more about design sizing via factorials and RSM by enrolling in Modern DOE for Process Optimization and/or the ESSENTIALS courses this summer.)
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WEBINARS
Free webinars — Sign up now to take advantage
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EVENTS
On July 27 I will present a talk on “Making the Most from Reliability Experiments via Multifactor Testing” to the 2023 Reliability, Maintenance & Managing Risk Conference (RMMR2023) in Minneapolis, Minnesota. I look forward to meeting with fellow members of the American Society of Quality (ASQ), in particular those from the Reliability and Risk Division—the sponsors.
Do you need a speaker on DOE for a learning session within your company or professional society at regional, national, or international levels? If so, please get back to me.
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WORKSHOPS
Sharpen up on DOE—Enroll before classes fill
To conserve on time (only 2 half-days) and budget, take advantage of our new ESSENTIALS workshops!
✓ Foundations of Factorial DOE for Breakthroughs
2 half-days online, $595
✓ Fractional Factorials for Process Development JUNE 21-22
2 half-days online, $595
✓ Response Surface Methods for Peak Performance
2 half-days online, $595
✓ Optimal Tools for Formulation Development
2 half-days online, $595
Later this fall, return to our longer deep dives:
Mixture Design for Optimal Formulations,
4 half-days online, $1095
Modern DOE for Process Optimization
5 half-days online, $1195
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BLOGS
StatsMadeEasy Blog
My wry look at all things statistical and/or scientific with an engineering perspective.
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“Any figure that looks interesting or different is usually wrong” and, furthermore, “the more unusual or interesting the data, the more likely they are to have been the result of an error of one kind or another.”
—Twyman's Law (for further details and variations see this LinkedIn post by data scientist Ronny Kohavi)
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Feel free to get back to me via [email protected] with further questions or comments: I would really appreciate hearing from you!
All the best,
Mark J. Anderson, PE, CQE, MBA
Engineering Consultant, Stat-Ease, Inc.
www.linkedin.com/in/markstat/
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