Prism

Design of Experiments training

Effective DoE Implementation
D201 - 2 days on-site / 4 online sessions

Available for online delivery!

Practical approaches to designing your own experiments. Understand how to locate the few key parameters from the trivial many, identify optimal feasible operating regions and choose the best designs. Our most popular workshop!

Topics covered

Sessions 1 - 2 / Day 1:
  • Introduction to Design of Experiments
  • Full Factorial designs
  • Evidence-based decision-making
  • Fractional Factorials and Blocking
Sessions 3 - 4 / Day 2:
  • Augmenting a design for de-aliasing
  • Augmenting a design for optimisation
  • DoE as a Sequential Strategy and alignment with 6Sigma/ QbD initiatives
  • Scoping & Screening designs: investigate & identify key process parameters
  • Optimisation & Robustness designs: develop an optimal, robust & capable process

Software Tools Used

We regularly run this course using the following software packages, but please just contact us if you'd like to discuss using your current in-house tool instead:

We also use our own suite of interactive training tools in this workshop, including our simulation tool, ProSim.

Who should attend?

  • New DoE Practitioners. Improving DoE Practitioners.
  • Those wishing to understand how to efficiently apply the software tool (DX, JMP, etc.).

Recommended Preparation

None.

Please also see the following workshops:

Upcoming public deliveries of this workshop...

To view our full public training programme, please click here.


Date Workshop Software Venue Price
21, 23, 28 & 30 June 2022 Effective DoE Implementation Design-Expert® Online £995 Reserve now
4, 6, 11 & 13 October 2022 Effective DoE Implementation JMP® software Online £995 Reserve now
All prices exclude VAT. The fee includes a PDF copy of the workshop notes, and refreshments are also included for in-person workshops. Payment is required to secure reservation. Substitution of delegate names is allowed. Please review our cancellation policy prior to booking.