Live Webinar

Making Sense of DOE Results When One or More Responses are a Continuous Measurement Stream

Date: 04 November 2021
Time: 10:30 GMT | 11:30 CET
Location: On-Line
Registration: Free

Do you have the golden curve optimization problem – where one or more of your process outputs varies over time within a batch or process? Are you aiming to achieve an ideal profile for your output? In such situations you might derive summaries like time to minimum or maximum value and optimise the process for a summary outcome. But are you worried you might be missing something in your time course data – or that you may be achieving a suboptimal solution?

By attending this webinar, you will:

  • Gain a deeper understanding of processes involving time varying outputs.
  • See how to utilize this deeper understanding to achieve better outcomes from time varying outputs and achieve a “golden curve.”
  • Save time and define more effective solutions to the golden curve problem.


Phil Kay

Phil Kay, PhD, is Learning Manager for the JMP Global Technical Enablement Team. 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. 

Register now to attend online

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