Webinars (General DOE)


Presented by: Martin Bezener on May 15, 2024
Category: General DOE

DOE is often presented as a “one shot” approach. It may be more efficient to divide the experiment into smaller pieces, thus expending resources in a more adaptive manner. This sequential approach becomes especially suitable when beginning with very little information about the process, for example, when scaling up a new product. It allows for better definition of the design space, adaption to unexpected results, estimation of variability, reduction in waste, and validation of the results.

Presented by: Mark Anderson on April 17, 2024
Category: General DOE

Learn how multicomponent and multifactor design-of-experiment (DOE) tools empower experimenters to quickly converge on the quality by design (QbD) “sweet” spot—ingredient and factor settings that meet all specifications at minimal cost. All examples come directly from pharmaceutical industries.

Presented by: Mark Anderson on Jan. 10, 2024
Category: General DOE

By way of example, this presentation lays out a strategy for design of experiments (DOE) that provides maximum efficiency and effectiveness for development of a robust process. It provides a sure path for converging on the ‘sweet spot’—the most desirable combination of process parameters and product attributes. Whether you are new or experienced at doing DOE, this talk is for you (and your organization's bottom line!).

Presented by: Martin Bezener on June 14, 2023
Category: General DOE

This webinar details incredibly useful assessments provided by Stat-Ease software for evaluation of any set of input data, whether existing (unplanned) or from a ‘proper’ design of experiments (DOE). Learn how to watch for issues that degrade the information that you hope to extract and strengthen your ability to assess your data quality!

Presented by: Shari Kraber on April 12, 2023
Category: General DOE

Gleaned from 30 years of running and analyzing designed experiments, these are the things that ultimately lead to great learning opportunities from DOE’s, versus dismal failures with wasted time and effort. Novices to experimentation will benefit from this insightful presentation!