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Optimal experiment designs that combine mixture, process and categorical inputs

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This presentation provides practical aspects for combining mixture, process and categorical variables into one optimal experiment-design. It covers an innovative way to minimize runs via a specialized “KCV” model (named for the inventors: Kowalski, Cornell and Vining). Furthermore, the talk details options for structuring combined designs into a split plot, which makes them far more do-able. All of these design tools come together in a case study on making chocolate chip cookies with delightful texture and taste. Watch this recorded webinar to expand your horizons for deploying design of experiments (DOE) to simultaneously optimize product and process improvement. View the slides here: https://cdn.statease.com/media/public/documents/Optimal_combined_DOE.pdf More on KCV designs: https://www.youtube.com/watch?v=L0cftjjhbZg Streamlining combined designs: https://www.youtube.com/watch?v=Ya6FRQyhaMg See KCV designs in action designing alcoholic beverages: https://www.youtube.com/watch?v=rr1s4LMeKSM Subscribe to our newsletters to be notified about upcoming webinars: https://www.statease.com/publications/signup Stat-Ease, Inc. www.statease.com Facebook: https://www.facebook.com/StatEaseInc/ Instagram: https://www.instagram.com/stateaseinc LinkedIn: https://www.linkedin.com/company/stat-ease-inc

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