How Design of Experiments Can Transform the Way We Innovate

Oct

14

10:30 – 12:00 CEST | 9:30 – 11:00 BST

Can you use structured experiments to solve intractable problems and create novel products?

Trying new things is foundational to innovation. If you work for an organization that is establishing new products or processes; or in an industry characterized by speed, precision or stiff competition; then you may have heard of design of experiments (DOE). With DOE, we actively manipulate factors according to a prespecified plan to gain useful, new understanding of relationships among the inputs and outputs. DOE allows us to make better use of existing data, solve problems we couldn’t solve before, improve our decision making and innovate. The methodology also leads us to new questions we should explore.

George Box once said, “Discovering the unexpected is more important than confirming the known.” And non-intuitive findings and efficiencies gained using DOE can give you a significant competitive advantage.

Join us for keynote talks and a panel discussion where we’ll simplify the term DOE, turning it from overwhelming to imperative. Our speakers passionately advocate for every engineer and scientist to adopt DOE as an essential tool for efficient, effective discovery of practical insights. Attend and you’ll learn the power of DOE to speed innovation; achieve faster, more predictable cycles; and save time. You’ll also hear real-world DOE case studies from prominent organizations that have a lot to share about their successes and challenges implementing a structured approach to experimentation.

Featured Keynotes

Julia O'Neill

Julia O'Neill

Distinguished Fellow, CMC Modeling & Statistics Lead, Moderna

Julia O’Neill has over 30 years of experience bridging statistics and chemical engineering in vaccines, biologics, pharmaceutical and chemical development and manufacturing. Her current areas of focus include statistical, validation and regulatory strategy support for a broad range of novel accelerated products, including multiple breakthrough designation and orphan drugs. She has a passion for applying statistical thinking to more rapidly establish the evidence needed to bring forward medicines addressing unmet medical needs. O'Neill has worked at Merck,  Rohm and Haas and various analytics consultancies.

Dame Sally Davies, Trinity College

Dame Sally Davies

Executive Chair, The Trinity Challenge

Dame Sally Davies is the Master of Trinity College, Cambridge, and formerly the Chief Medical Officer for England, and the Chief Medical Adviser to the UK Government from 2011 to 2019. In July 2020, she established The Trinity Challenge, a new, global health non-profit, which has brought 42 of the world's preeminent institutions together as a coalition to surface solutions that will help us identify, respond to, and recover from the next pandemic. She was a member of the WHO Executive Board from 2014 to 2016 and has led delegations to a range of WHO summits and forums since 2004. 

Panel Discussion

How can you help your organization remain agile and know when a concept will work – and when it won’t? The reality is, many of our processes are far too complex to rely on theory alone. Whenever there is more than one factor – that is, in almost all real-world situations – a design that changes just one factor at a time is inefficient. To properly uncover how factors jointly affect the response, you need to use DOE. Hear real-world examples during a panel discussion.

What will you learn?

When it comes to solving problems in industrial R&D and manufacturing, we need structured experimentation to gain fundamental knowledge of our systems, processes and products. And once processes are well-defined and predictable, your organization can deliver more confidently on a commercialization timeline. Without this knowledge in an ever-changing world, you run the risk of losing your competitive advantage, profits or business.

You'll gain a better understanding of:

 
  • Why (and when) effective organizations use DOE. 
  • Why DOE is more effective than one factor at a time (OFAT) experimentation. 
  • How to find the few factors that most affect the response of interest. 
  • The critical role of DOE when running a business with the lowest inventory. 
  • How to build smart designs more quickly and efficiently to save you time and effort and make better use of your resources.
  • Using DOE to make more time to focus on the science you love. 
  • Why more organizations don’t take advantage of DOE – and how to overcome these barriers. 
  • Tips for starting and leading initiatives to strategically try new things at your organization.

Meet the Panel

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