Six Sigma

Design of ExperimentsDOE

A statistical method for efficiently testing multiple factors at once to find which inputs drive an output and how they interact.

Design of Experiments (DOE) is a structured approach to experimentation that varies several input factors simultaneously according to a planned matrix, rather than changing one factor at a time. This reveals not just main effects but also interactions, with far fewer runs.

DOE is the most powerful tool in the DMAIC Analyze/Improve phases for optimizing process settings and building robust designs.

Go Deeper
Design of Experiments guide→
Related Terms
Six Sigma
A data-driven methodology for reducing variation and defects to no more than 3.4 per million opportunities.
DMAIC
The five-phase data-driven improvement cycle at the heart of Six Sigma for improving existing processes.
SPC
Using control charts to monitor a process and distinguish normal variation from special-cause signals requiring action.
Process Capability
Indices (Cp, Cpk) that compare the spread and centering of a process to its specification limits.

Put Design of Experiments into practice

SymplProcess turns these concepts into working models, calculators, and templates your whole team can use — no spreadsheets required.

Open the App → Try the Process Modeler
← Browse all glossary terms