Design of experiments (DOE) is a rigorous methodology that enables scientists and engineers to study the relationship between multiple input variables, or factors, on key output variables, or responses.

Copie de DOE Challenge - AEM (1200 × 627 px) (1)

Methodical experimentation has many applications for efficient and effective information gathering. To reveal or model relationships between an input, or factor, and an output, or response, the best approach is to deliberately change the former and see whether the latter changes, too. Actively manipulating factors according to a pre-specified design is the best way to gain useful, new understanding.However, 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 design of experiments (DOE). JMP experts have created a free online workshop about the topic. You will learn:

  • The fundamentals of DOE – gain a deeper understanding of how your product/system/process performs
  • How to build better, cheaper solutions – by exploiting the deeper knowledge gained you can determine how to achieve optimum performance, consistently and at a lower cost
  • How to reduce total experimental effort by 50% (often more) – by determining the best and minimal set of experimental combinations needed to address your questions upfront 

This complimentary online course will meet the needs of industrially-oriented engineers and scientists who want to learn how to extract valuable information from data. Why not give it a go

And get even more out of this workshop. For a hands-on learning experience, download a free trial of JMP to follow along with the presenter.