Operational Design of Experiments

Operational process understanding is the foundation for ensuring high quality and yield. The most efficient method to obtain process understanding is through designed experiments.

Join our course to find out how to perform both screening and response surface Design of Experiments (DoE). Furthermore, we will cover model reduction and the interpretation of DoE results.

You will also learn how to establish relationships between critical quality attributes (CQA) and critical process indicators (CPI). Understanding this relationship is a prerequisite for product design, process optimization and process control.

The course consists of a practical screening and response surface DoE exercise. After the exercises, you will learn to analyze and validate the obtained data.


This course will cover:

  • Definitive screening DoE
  • Finding critical factors in definitive screening DoE
  • Reusing definitive screening DoE as model DoE
  • Response surface model DoE
  • Modeling RSM DoE


Basic Statistics, Data Quality and Statistical Modelling course or similar prior knowledge


The software used in this course is JMP from SAS and the instructors will demonstrate all the exercises in JMP. If you are currently not a JMP user, we recommend you install JMP on your computer before participating in the course. A free 30-day trial can be found on the JMP homepage. If you need assistance in installing JMP or have any questions, please do not hesitate to reach out to academy@nne.com.

If you are using another statistical tool, we can arrange a course using your preferred tool. Contact us to hear more about this possibility.


Venue: NNE's headquarters, Bredevej 2, 2830, Virum, Denmark

Price: DKK 5,000 + VAT (includes course materials, refreshments and lunch)

Language of instruction: The course will be held in English unless all participants speak and understand Danish

Cancellation disclaimer: We reserve the right to cancel the course due to instructor illness or low participant numbers. If this is the case, we will inform you in good time and offer a full refund where applicable.

Duration: 1 day (08:30-16:30)

Course dates:

  • 27 March 2023 and 9 November 2023

Deadline for sign-up:

10 days before the course starts

Sign up for the course