Design of Experiments Training
Systematic experimental design for robust processes and cost efficiency
Move beyond trial and error and replace intuition with statistical certainty. In this intensive training, you will learn how to decipher complex relationships in your production processes with minimal experimental effort. We provide you with the methodological competence to reliably identify influencing factors and precisely control interactions. Instead of adjusting parameters at random, you will develop a deep process understanding. This enables you to drastically shorten development times, reduce waste, and sustainably raise product quality to the required level.
The training is characterized
- Efficiency over chance. We demonstrate how to achieve maximum information gain with the fewest possible experiments, thereby saving valuable resources.
- Direct software application. Theory is immediately translated into practice. You will learn to apply modern statistical software like Minitab for planning and analyzing your experiments.
- Understandable statistics. We avoid unnecessary academic complexity and focus on the graphical and logical interpretation of data for daily operational use.
- Sustainable process optimization. Every module aims to design robust processes that are insensitive to disturbances and deliver consistently high quality.
Duration
9:00 - 17:00 (2 Days)
Cost
€1.950
Certificate
DoE Methodology Certificate
Prerequisites
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Nächste Schulungen
Online (Eng)
17-19. März 2026
Dortmund
19-21. Mai 2026
Agenda Overview
Our structured approach guides you through all relevant disciplines of statistical experimental design
- Introduction to Design of Experiments (DoE) and differentiation from trial-and-error methods
- Statistical fundamentals: Understanding dispersion, location parameters, and hypothesis tests with confidence
- Full Factorial Design: Recognizing main effects and interactions between parameters
- Fractional Factorial Design (Screening): Separating the critical few factors from the trivial many
- Planning, execution, and analysis of real experiments with computer support
- Interpretation of Regression Analysis, ANOVA, and Pareto charts for data-driven decisions
- Response Surface Methodology (RSM): Modeling complex non-linear relationships and precisely determining the optimal process window
- Power Analysis and Sample Size Planning: Calculating the economically optimal number of experiments for statistically secure conclusions
Scope of Services
- Comprehensive training materials and digital DoE guides
- Official qualification certificate upon successful completion
- Lunch and catering during breaks
- Practical case studies and simulations (e.g., Catapult experiment)
- Access to expert knowledge from real Six Sigma projects
- Concrete templates and checklists for your first own experimental design
Quality Guarantee & Certification
- Upon successful completion, you will receive a certificate from Stemann Consulting. This certifies your professional competence in the key areas of our training program. In this way, we make your development in the areas of data, insight, and impact visible.
