Design of Experiments for Non-Statisticians

The solution of many Pharma and Biotech problems include the collection, analysis, interpretation and presentation of data. The use of design of experiments in the form of two-level factorial and fractional-factorial designs increases the probability of finding an acceptable solution to the problem. One reason DOE is not used more is the perception that sophisticated statistical methods are required to effectively use DOE. This webinar shows that this perception is without basis and shows how to do DOE with minimal calculations.

You will Learn How to :

• Get started in using DOE to solve problems
• Utilize the foundations and principles of DOE
• Design, analyze, interpret and present the results of factorial experiments
• Simultaneously experiment with quantitative and qualitative variables
• Develop cause and effect relationships and the associated prediction models

Areas Covered in the Session :

• Basics of data-based problem solving
• Why DOE works
• What’s wrong with one-factor-at-a-time strategy
• Factorial experiment designs for 2, 3, 4, 5 and more factors
• Screening experiments using fractional-factorial and Plackett-Burman designs
• Roadmap for the analysis of factorial experiments
• Calculation and graphical display of factor effects
• Tips, Traps and Tools of the problem solver

Who Should Attend:

• R&D Departments
• Manufacturing Departments
• Quality Assurance Departments
• Quality Control Departments
• Regularly Affairs Departments
• Financial Analysts
• Scientists
• Engineers
• Everyone who collects, analyzes and presents data to solve problems and make improvements

Course Director: DR. RONALD D. SNEE

Ronald D. Snee, PhD, is Founder and President of Snee Associates, LLC. He provides guidance to senior executives in their pursuit of improved business performance using Lean Six Sigma, Quality by Design (QbD), and other data-based improvement approaches that produce bottom line results. He has played a leadership role in 32 major improvement initiatives for firms such as Novartis, Human Genome Sciences, and Kraft Foods. Ron also serves as Adjunct Professor in the Temple University School of Pharmacy and Rutgers University Pharmaceutical Engineering Program. Prior to entering the consulting field he worked at DuPont for 24 years in a variety of assignments including pharmaceuticals. He received his BA from Washington and Jefferson College and MS and PhD degrees from Rutgers University. Ron in an Honorary Member of the American Society for Quality and has been awarded the ASQ’s Shewhart, Grant and Distinguished Service Medals. Other awards and honors include the American Statistical Association’s Deming Lecture, W. J. Dixon Statistical Consulting Excellence and Gerald J. Hahn Quality and Productivity Achievement Awards. He is a frequent speaker and has published six books and more than 300 papers in the fields of performance improvement, quality, management, and statistics. He is a past recipient of the Institute of Validation’s Speaker of the Year Award.