Knowledge is a key factor to get success in every field. Knowledge gives rise to the possibility to be innovative, competitive and to meet required business needs. However knowledge acquisition can be sometimes complicated, time consuming and expensive. It can be but it doesn’t have to. In order to succeed we need to learn how to acquire necessary knowledge. Learning skills are one of the fundamentals of current processes and product improvements as well as the designing of new ones which aim to be more robust, perfect and fit exactly with new requirements.

Design of Experiments allows the easy optimizing of the knowledge gathering process with the minimum cost incurred. This training demonstrates an effective way to plan, conduct and analyse experiments as well as how to practically utilize knowledge gathered during experimentation. The training is designed in such a way that even people without a statistical background are able to practically utilize collected knowledge.

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Upcoming Six Sigma trainings

Design of Experiments
Class 01/2020
27-29 VII 2020
2 700 pln

To take part in an open training, you should complete the application form and send it to us: For those, who will send their application 30 days prior to the workshop,we offer a discount of 10%!

Training Price includes

  • Ability to consult with a trainer during the training and after the workshops
  • The training conducted by certified Six Sigma Master Black Belt
  • Training completion certificate
  • A set of training materials
  • Additional training materials based on the individual needs of the trainee
  • Username and password for the Client Zone allowing use of many additional materials
  • Coffee breaks and lunch

Expected Training Results

After this training participants will be skilled in:

  • Experiment planning (how to select factors and their levels for a particular experimentation strategy)
  • Evaluating if a Measurement System is precise enough for experimentation needs
  • Conducting experiments
  • Analysing experiments (Practical, Graphical and Quantitative), and drawing practical conclusions
  • Performing all analysis using Minitab software
  • Process Engineers
  • Quality Engineers
  • Technologists
  • Leaders
  • Managers

Training Plan


Introduction to Variation (basic concepts and statistics) lecture
Introduction to Experimentation lecture
Comparison of experimentation methods (OFAT, ALLFAT, Trial & Error i DOE) and answer why deeper knowledge about DoE is needed? lecture
Practical examples of experimentation conducted by instructors, discussion how experiments were conducted and what were the results case study
Experiment planning: Measurement System Evaluation, factor and level selection, what do we need to measure during experiments and what elements should be taken into consideration before the experiment will start lecture + case study


Measurement System Evaluation for continuous data lecture + Minitab + case study
Measurement System Evaluation for visual control lecture + case study
Full Factorial Design: construction and analysis (Practical, Graphical and Quantitative), pros and cons. When to apply full factorial design? lecture + Minitab + case study


Fractional Factorial Design: construction and analysis, risk and benefits from fractional experimentation, what experimentation strategy to take? lecture + case study + Minitab
Analysis and conclusion drawing: what influence that conclusions taken from experiment are valid in practice? How to know that solution which we found is optimal and will drive us to required results? lecture + practical exercise
Practical exercises ? participants plan, conduct, and analyse a series of experiments which give them opportunity to practice and evaluate how to use gathered knowledge in real day-to-day work practical exercise