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Using Factory Optimization to Peel Eggs & Improve Everything (Multivariate Experimental Design)

Check out my sponsor Brilliant, free for 30 days (and get 20% off an annual premium subscription!) by using this link: https://brilliant.org/nighthawk In this video I explore a multivariate experimental method called orthogonal (Taguchi) arrays. Thanks to Guillotined Chemistry and Xoltri for their contributions that helped make this video happen. You'll find lots of useful info on their channels, especially in reference to making senko hanabi: https://www.youtube.com/@UCYPsdPVV7q7seVMtfxuMhfw https://www.youtube.com/@UCYZ_ZGYHxt_CXNom2wMRzUA Here is my own senko hanabi playlist: https://youtube.com/playlist?list=PL1a2HkcVbmAVW5LBBThCdHPD3BKDd03Tj&si=zWLKSyaI1ZLcOsRz Thank you so much to those of you who support this channel on Patreon! Your support really helps give me confidence to spend my time researching projects that are of value for more than just video views. Shoutout to my top patrons: Eugene Pakhomov, Peter Gordon, Evan Hughes, Teague Lasser, Matthias S., Michel Pastor, PabloXIII, Parker Jones, Simone Chiesi, Steve C, Yanko Yankulov, Walter Montalvo, Carl Katzenberger, Damián Arrillaga, Dan L, Edward Unthank, Gusbear, Jon Hartmann, Kejie YU, Kirk Werklund, Lisa L, Mark Roth, PabloXIII, Santiago Perez, Steve C, Thibaud Peverelli, Tristan Tonks, WilSkarlet, Yanko Yankulov https://www.patreon.com/NightHawkProjects Thanks everyone for watching!

Comments

James Lynch

Brilliant and practical explanation of full factorial exp design, and disciplined use of quantitative outputs - thank you! I work in a (very) similar role to your industrial process friends and plan to share this video as a primer for others who are new to the field/concept. Also, if you ever want to run this or similar experiments past some of the software we use to streamline our experimental design work, I'd be happy to share some time with you to do so.

Jonathan Hawley-Peters

This kind of knowledge is so valuable because often there are uncontrolled variables (like elevation from sea level) that affect a process and so re-establishing what appears to be “settled science” for recipes or manufacturing processes can actually make perfect sense. Especially when you get unexpected results by following directions meticulously.