"In process development, you have to be fast, and if you use a DOE you can save more than 50% of your development time". - Christian Guhr
Design of Experiments (DOE) provides a data collection and analysis framework that can get more work done, with half the effort needed, to achieve product development tasks. The result is better work outcomes for scientists and engineers, increasing innovation capacity and reducing product development costs.
In this video, we speak to Christian Guhr, a Process Engineer at BIOTRONIK, about his experience of using data analysis, and specifically Design of Experiments, to accelerate product development.
You’ll see how DOE is being used in a variety of development contexts including product, formulation, and analytical method development to accelerate new product introduction.
- Understand the key concepts of Design of Experiments (DOE).
- How DOE is used to reduce time needed for product, formulation, and analytical method development.
- Uncover the resources available to get the skills and tools needed to use DOE yourself.
Process Engineer, Biotronik
Christian Guhr is a Process Engineer at multinational biomedical technology innovator BIOTRONIK, based in Berlin. He is a Chemical Engineer educated at TU Dresden, Germany. In his daily work he uses JMP for process control, cross-process data analysis, data mining and DoE.
Senior System Engineer, JMP Statistical Discovery
Hadley Myers works as JMP Senior Systems Engineer. Prior to joining JMP, he held roles at a Texas solar panel manufacturer as a process engineer, and at a Netherlands thermal equipment supplier where he helped customers develop their own processes for various applications. He has 15 years of combined research and manufacturing experience. He holds both a master’s degree and a PhD in electrical engineering from McGill University in Montréal, Canada.
Learning Manager, JMP Statistical Software
Phil Kay is a learning manager for JMP, a division of SAS. His job is to understand the science and engineering challenges and provide guidance on data analytic solutions for industrial organisations around the world.
Previously, he was a key scientist in the development of processes for the manufacture of colorants for digital printing at FujiFilm Imaging Colorants. Phil has a master’s degree in applied statistics with a dissertation on Design of Experiments. He also has a master’s and PhD in chemistry.
He is a Fellow of the Royal Statistical Society, a Chartered Chemist, and a member of the committee for the Process Chemistry and Technology Group with the Royal Society of Chemistry.
Systems Engineer, JMP Statistical Software
Stuart Little is a Systems Engineer at JMP, where he applies a background in the chemicals industry to helping provide solutions to a broad range of data and statistical problems. He has previously been Lead Research Scientist at Croda, a chemical products manufacturer. Stuart holds a Phd in Chemistry from the University of Sheffield.