Statistical Design of Experiments (DoE)
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Statistical Design of Experiments (DoE) is widely recognized as the key instrument for ensuring efficient experimentation in labs and technical centres, e.g. in the context of Quality by Design. It helps understand precisely how changes in process or materials impact efficiency and product quality.
Our training sessions will provide you essential knowledge about the DoE methodology. Through hands-on, PC-based exercises, you will learn to apply it effectively to real-world process optimization and product development problems, using software designed for simple and smart DoE application.
Design of Experiments with STAVEX (Part A)
DoE concept, workflow, factorial and optimization designs, multiple regression, factor screening, half-normal plot
Design of Experiments with STAVEX (Part B)
Multiple-response optimization, Design Space, D-optimal designs, design tuning, qualitative results, formulation problems
STAVEX for Experts
Screening and interactions, factor range changes, optimization over a time period, complex mixtures, implicit factor ranges
Robust Design and Taguchi Method
Quantity vs. quality, Design of Experiments, Taguchi approach with product arrays, modern approach
Any Questions about STAVEX or Design of Experiments (DoE)?
We are always at your disposal if you have any questions. Simply call us on +41 61 686 98 77 or use the Contact Form.