Mellow Tools ProcessStat DOE Experiment plan
First time use · DOE Follow ↗Existing tools ↗
Is this your first time planning an experiment?

Follow along with the paper helicopter example from entering conditions to creating an experiment table for 11 times.

DOE Start of first practice →
DESIGN OF EXPERIMENTS

Do the necessary experiments, as much as you need.

Enter factors and ranges and create an experiment plan tailored to the effect you want to know.

Design Selection Guide ↗
1

What should we change?

Factor = Condition to changeIt is. Example: temperature 180 to 220°C, time 30 to 60 seconds. Enter a range of numbers that you can actually change. Example values ​​are for practice purposes only.

codefactor nameunitlower limitupper limitDelete
3

Check your selected plan

Generate design

If you select the recommendation above, the design will be applied. Expand below to choose for yourself.

Choose a design · Full factorial / Fractional factorial / PB / Orthogonal array / CCD / Box–Behnken
Center point, repetition, block, execution order

Repetition means performing the entire experiment anew under the same conditions. Distinguish from re-measurement of the same sample.

Experimental design

Experiment point placement

Projects to two selected axes. Multiple experiments at the same location are indicated by circle size and number.

What can we explore with this design?

“Separable” means that the effects can be computationally separated. The actual difference and good conditions should be confirmed after experimentation.

What are main effects, interactions, and curvature?

Main effect: The extent to which the results change when one temperature is changed.
Interaction: A phenomenon in which the effect of temperature varies depending on time conditions.
Curvature: The tendency for outcomes to be better or worse at intermediate conditions than at either extreme.

Easy examples and design explanations →
Effect overlap, creation formula, actual execution range confirmation

Proceed in order of execution

Each row is one run. Run the experiment at the given settings and record the measured result in Y. Once responses are recorded, the “Result analysis” below shows the effects, ANOVA and recommended settings right away.