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Design experiments to be robust to input variation

Date: Thursday, 17 November 2022
Time: 11:00–12:00 CET | 10:00–11:00 GMT
Location: Online (Zoom)
Registration: Free

There are many benefits from making your products, processes, and measurement systems robust to variation in the inputs – whether they be process settings, material properties, or technician/operator instructions. These beneficial outcomes include greater consistency of the product, higher product quality, lower ongoing costs, and greater flexibility to adapt as material or process inputs need to change.

Join JMP for a one-hour Time to Innovate webinar on 17 November to learn more.

About the event:

During the event, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.

You’ll also hear a case study and a discussion with industry leaders who will discuss the barriers to adoption, how to overcome them, and how to implement the methods.  

Presenter: Victor Guiller, Scientific Expertise Engineer, L’Oréal 

Victor is passionate about data science and chemistry and has been working in research for close to 10 years at companies including FUCHS and L’Oréal. His goal is to combine domain expertise, design of experiments and data analysis to help laboratories leverage their historical data, plan efficiently their next experiments, make better decisions and unravel some of the mysteries of chemistry.