The training aims to learn the most effective method for finding optimal process settings and solving quality problems using Design of Experiment.
Join a group of participants from different companies and discover industry best practices.
Currently no scheduled dates.
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Contact us to discuss the possibility of delivering this topic as an open training.
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CONTENT:
• Experimental methods
• When to use experiment planning
• How to create an experiment plan
• Traditional problem-solving vs. DoE
EXERCISES:
Participants will learn the benefits of experiment planning and the steps to take before starting
They will also discover the differences between traditional and DoE approaches
CONTENT:
FRD Tree
Geo plot
Main effect and Interaction plot
Contour plot
Normal plot
Pareto
Process and product maps
Model
Mind map
EXERCISES:
Basic tools for experiment planning help visualize the design process and result analysis in a simple way
Participants will learn the order of use, how to interpret results, and which supporting tools to use for planning and selecting the best factors for analysis
CONTENT:
• Verifying catapult functionality
• Planning, executing, and analyzing experiments (Fractional Factorial)
• Drawing conclusions from the experiment
• Using the resulting model
• Analysis in MiniTab
EXERCISES:
Exercises to understand the tool
Step-by-step practice of each stage in experiment planning
CONTENT:
• Repeatability and reproducibility
• Randomization
• Why and how to block disturbances
• Basic blocking in MiniTab
EXERCISES:
Participants will learn why and how disturbances affect experiments and how to avoid them
CONTENT:
• Steps of planning and performing an experiment using examples
EXERCISES:
Based on a simple example, go through the design, execution, and analysis process
• The training is conducted based on real company examples – process analysis
• The training group should not exceed 15 participants
• Session duration, breaks, and start/end times can be adjusted to group needs
Each participant will receive a certificate of completion after the training
Those responsible for leading the planning of experiments (DOE).






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PROQUAL Management Institute
B. T. Greber Spółka Jawna