Engineering Better Processes with Design of Experiments
- Type: Live Webinar
See how engineers and scientists in the chemical and process industries find better solutions to problems with a powerful data analytics tool called Design of Experiments. Through industry case studies you will hear how companies improve yields and reduce cycle times through better process understanding with efficient experiments. You will also learn how you can help to accelerate innovation and speed products to market.
Phil Kay, PhD, is a Systems Engineer for JMP, a business unit of SAS. He is interested in empowering people to drive improvements in the efficiency and effectiveness of business processes through the use of statistical tools, in particular, the application of design of experiments methodology to R&D.
Previously, Kay worked for Fujifilm Imaging Colorants, where he was a key scientist in the development of numerous processes for the manufacture of colorants for digital printing. Kay began his career as a development chemist, later becoming a data scientist as his interest in the...Read more
|AIChE Graduate Student Members||Free|
|AIChE Undergraduate Student Members||Free|