Design of Experiments for efficient testing.

DoE makes tests more meaningful, reduces unnecessary loops and connects testing with robust statistical evaluation.

Engineer setting up a technical test bench for a DoE programme

From factor space to a robust decision.

RelTest plans, supports and evaluates DoE studies around the technical question. Statistics and product understanding are combined so that experimental points lead to a usable engineering decision.

Question & factor space

What we work on

We clarify responses and evaluation criteria, identify relevant control and noise factors and define technically meaningful levels and design-space limits.

What you receive

A clearly documented experimental question with responses, factors, constraints and assumptions.

Design & execution

What we work on

We select an appropriate design, plan randomisation, replication and blocking, and align the experimental sequence, measurement system and data quality.

What you receive

An efficient, executable DoE plan with a clear design matrix and controlled workflow.

Analysis & model

What we work on

Effects and interactions are estimated, models are checked, and results are evaluated together with residuals, model fit and technical plausibility.

What you receive

A traceable response model showing which factors act on the response, how strongly and in which combinations.

Robust setting & transfer

What we work on

We optimise responses, assess sensitivities and noise factors and translate findings into parameter recommendations, further tests or engineering measures.

What you receive

Recommended settings with a robustness assessment, documented limits and a clear next step.

When DoE is especially effective

DoE creates the greatest value when test capacity is scarce and several influences need to be understood together.

Expensive or time-critical tests

Every run consumes samples, test-bench capacity and development time. A justified design focuses effort on highly informative experimental points.

Many possible influencing factors

Screening and suitable designs reveal which factors matter and where interactions make one-factor-at-a-time testing misleading.

Optimisation under variation

Products and processes must perform beyond the mean. DoE helps identify parameter regions that remain robust to manufacturing, environment and use.

Use DoE in the right way for the task.

This Solutions page brings together project support. Method foundations belong in Knowledge; structured capability building belongs to RelTest Education.

Strengthen your experimental programme methodically.

We clarify the technical question, available test framework and the DoE approach that can deliver the required evidence with reasonable effort.