{"id":89062,"global_id":"www.sixsigmaclub.de\/en\/?id=89062","global_id_lineage":["www.sixsigmaclub.de\/en\/?id=89062"],"author":"16","status":"publish","date":"2025-05-27 17:22:20","date_utc":"2025-05-27 15:22:20","modified":"2025-06-05 07:33:38","modified_utc":"2025-06-05 05:33:38","url":"https:\/\/www.sixsigmaclub.de\/en\/event\/workshop-experimental-design-design-of-experiments-doe\/","rest_url":"https:\/\/www.sixsigmaclub.de\/en\/wp-json\/tribe\/events\/v1\/events\/89062","title":"Workshop: Experimental Design & Design of Experiments (DoE)","description":"

Participants develop a firm understanding of the structure, implementation and evaluation of test plans. They will be able to recognize typical pitfalls, optimize experiments and effectively support teams in their practical implementation. <\/p>\n

Core content of this module:<\/strong><\/p>\n

\u27a1 Basics of full and partial factor experimental designs – structure, analysis and interpretation (refresher).
\n\u27a1 Understanding and dealing with alias structures to correctly interpret interactions.
\n\u27a1 Experimental design with discriminatory power analysis to control the effort in a targeted manner.
\n\u27a1 Use center points in a targeted manner to check non-linearities and reproducibility.
\n\u27a1 Effect area and extended DoE methods such as RSM, D-optimal or definitive screening designs.
\n\u27a1 Select and apply special DoE forms such as mixture and Taguchi experimental designs.
\n\u27a1 Strategies for failed experiments and incomplete data – robust planning and flexible adaptation.
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\nDates (ONLINE)<\/strong><\/p>\n

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