Maximizing R&D Success with Practical Design of Experiments (DOE).
Make the most of every experiment. In this webinar, you’ll learn how to catalyze research and development via powerful statistical tools for design of experiment (DOE). Whether you’re a new or experienced experimenter, if you have a basic knowledge of statistics—such as p-values, r-squared and regression modeling—this webinar is for you. Tune in now.
In one hour, you’ll see a demonstration of multifactor DOE testing tools for process development that will accelerate your research and make it a success. Through a series of interactive case studies, you’ll learn how strategically deploying DOE enables you to rapidly screen factors down to a vital few, characterize their main effects and interactions and achieve optimal settings for peak process performance.
You’ll discover tried-and-true statistical methods, made easy by software, that will empower you to quickly converge on the “sweet” spot—factor settings that meet all product specifications at maximum yield and minimal cost. Learn about response surface methods, RSM, statistical methods and more as you focus on the practical aspects of DOE and how to apply them to get breakthrough results.
The Global Home of Chemical Engineers
At every stage of your career, AIChE Academy is the definitive resource engineers use to sharpen their professional skills. We offer up-to-date courses and webinars in chemical engineering, process and hydrogen safety, bioengineering, sustainability, professional development, and many more.
Engineering Consultant
Mark is an engineering consultant with Stat-Ease, Inc. Previously, he spearheaded an award-winning quality improvement program for an international specialty chemical manufacturer, generating millions of dollars in profit. He offers a diverse array of experience in process development, quality assurance and general management. Mark is the lead author of three books: DOE Simplified: Practical Tools for Effective Experimentation, 3rd Edition, RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, 2nd Edition, and Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures.
