"I attended the DoE training. Very great knowledge, especially practical. The training is focused on practice, great atmosphere. I did not sleep during the training for the first time. I highly recommend it."


Kamil Szulc

Assistant Process Manager w LG CHEM WROCŁAW ENERGY

Szkolenie Minitab

"The workshop conducted by Tomek focused on building competence, not just theoretical knowledge.

The subject of Six Sigma was presented in a clear and readable way. Additionally there was a great atmosphere during the classes. I recommend!


Piotr Przyszczypkowski

Project Management

Szkolenie DOE Design of Experiment

"If you would like to learn what Six Sigma is and how to apply it in practice then come to Tomek. His professionalism, vast knowledge and ability to convey knowledge will make statistics fabulously easy even for a humanist."


Andrzej Piekarski

Inżynier produkcji

Szkolenie DOE Design of Experiment

Sample recommendations (more on my LinkedIn profile)


What is the program?

  • Proven tools only
  • Use of "why - what - how" sequences throughout the course and each individual topic
  • Frequent use of examples and "case studies"
  • Lots of team exercises (~30% of class time)
  • Lots of repetition and integration of tools
  • Minimal use of PowerPoint presentations
  • Integration of software within each topic rather than teaching it separately
  • Discussion sessions with the trainer
  • Max. 15 participants

No prerequisites.

What are the requirements?

Who is DOE training for?

This course is designed for people with different functions in the organization - operational, quality, logistics, financial, production, engineering.

What is the DOE training model?

Design of Experiments, DOE Training 

Session 1  (2 days)

Session 2 (2 days)

  • Introduction to variation
  • Process Mapping
  • Components of Variation Study:
    • Sampling without manipulation
    • Sampling trees
    • Graphical analysis
  • Measurement System Analysis
  • Introduction to Experimentation
  • Comparison of experimentation methods (OFAT, Trial & Error and DOE)
  • DOE - what it is and what it is used for
  • Full factorial design construction
  • Planning an experiment - choosing factors and their levels
  • Fractional factorial design construction
  • Analysis of results and conclusions