Blending Design of Experiments with Bayesian Optimization Techniques – Bob Launsby

When:  Apr 16, 2026 from 06:30 PM to 07:30 PM (ET)
Associated with  Buffalo Section

April 16th, 6:30 – 7:30 PM ET

Where: Virtual

Cost: Free

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Bayesian Optimization is an innovative tool within the realm of process optimization, offering a swift and potentially superior solution compared to other methods when applied correctly. To maximize its effectiveness, a structured approach is essential:

Bob Launsby is a long-time industry consultant and trainer in Design of Experiments (DOE) and Taguchi methods. He’s the president of Launsby Consulting, which teaches DOE, process validation, and applied machine learning to engineers. launsby.com

He’s authored/co-authored practical DOE texts used in manufacturing settings – e.g., Engineering Today’s Designed Experiments and related books on experimentation and process validation.

Launsby also develops DOE training tailored to plastics/injection molding and has presented in Lean Six Sigma circles, underscoring a very hands-on, shop-floor orientation.

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