Design of Experiments

Technically Speaking Toward a More Effective Disease Outbreak Alert System: A Symptoms Approach to BiosurveillanceSam Edgemon demonstrates how the use of more granular symptoms-level data combined with innovative statistical techniques has the potential to identify disease outbreaks faster while limiting false positives.
Statistically Speaking Fast-track innovation and process improvement with designed experimentsExperts from Mahle, Symrise and Allnex share why they use DOE
Technically Speaking Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
Technically Speaking Design of Experiments in Lean Product DevelopmentLearn how design of experiments (DOE) can serve as the engine to help you quickly generate the knowledge needed to deliver profitable value streams.
Statistically Speaking The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
Statistically Speaking Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
Statistically Speaking Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
Explorers Best practices for applying Design of Experiments with Quality by Design in the Pharmaceutical IndustryIn this seminar, you will learn how DOE can complement a QbD approach in the pharmaceutical industry for optimal benefit.
Explorers Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
Technically Speaking QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
Analytically Speaking W.L. Gore: Using Statistics as a Competitive AdvantageGlobal Head of Statistics Maria Lanzerath works with scientists and engineers to ensure that statistics is embedded throughout the manufacturing process.
Explorers Using Design of Experiments To Increase Predictability, Optimise Processes and Minimise Costs Learn how a data-driven design of experiments (DOE) approach can accelerate learning while reducing costs in research, development and manufacturing processes.
Analytically Speaking Innovation in the Chemical Industry With Statistics and DOEKevin White shares how his team at Eastman uses cutting-edge methods to improve products and inform decisions.
Explorers Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
Explorers Doug Montgomery: Optimizing Results With Data-Driven Experimental DesignYou will learn how to get the most from large and messy data, even with missing information and use modern screening approaches to find the right potential drivers of performance.
Analytically Speaking How Do You Build a Great Analytic Culture?Jon Weisz and Lou Valente of SAS on how to empower people to make data-driven decisions.
Analytically Speaking Prolific Author on Split-Plot and Optimal DOE Shares InsightsPeter Goos, a top contributor to the field of design of experiments, on his research and its applications.
Explorers Optimal Experimental Plan: DOE Experts Peter Goos and Bradley JonesJoin author and University of Leuven Professor Peter Goos and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs that can reduce the cost of experimentation, accommodate multiple types of factors, and lead to optimal factor settings even when the design space is constrained.
Explorers Make Your Experiments Count: DOE Expert Bradley JonesJoin author and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs.
Analytically Speaking What Every Engineering Manager Wants You to KnowProblem Solving for New Engineers author Melisa Buie talks about the critical concepts needed to solve problems.
Technically Speaking Model Selection for Designed ExperimentsSelect your best! Learn how ad hoc model reduction, stepwise regression and effect screening can be used to help you determine the best model for your designed experiment.
Technically Speaking Boosting Performance With Custom Designed ExperimentsStreamline your experimentation with a customized experimental design. Test only those factors that have the biggest impact on your processes. Find out how in this film development case study.
Analytically Speaking What Does It Take to Be a Successful Statistician?Experienced statistical consultant shares career experiences and ideas for expanding your statistical repertoire.
Analytically Speaking How to Add Structure to Your Decision MakingLos Alamos National Lab scientist shares research on objectively considering tradeoffs.
DOE Case StudiesProfessor Peter Goos presents explains why, when and how to use response surface design, screening design, definitive screening design and split plot design.
Analytically Speaking The Elements of Sophisticated Reliability AnalysisDavid Trindade of Bloom Energy makes big process improvements with reliability and DOE.
Technically Speaking Optimizing Your Process With Design of ExperimentsIn this study, a specialty chemicals supplier is struggling to manufacture enough pigment at the required specifications to meet customer demand. See how they implement a more efficient process.
Analytically Speaking Hear From Design of Experiments Thought LeadersDennis K.J. Lin and Bradley Jones are known for their considerable contributions to design of experiments.
Visualizing Response SurfacesExplore the benefits of interactive data visualization on response surface modeling with John Sall, creator of JMP.
Explorers Improving Your Processes With Design of ExperimentsExplore how to better define data collection plans using design of experiments, statistically model the patterns of variation and identify optimum operating conditions.
Explorers Using Design of Experiments to Increase Predictability, Optimise Processes and Minimise CostsLearn new data-driven strategies to better understand the underlying behavior of a system by identifying those factors that most affect desired outcomes.