Planner

Define the DOE structure

Screening logic: 2^k full or 2^(k-p) fractional with replication for power

Use one factor per line in the format: `Factor, Low, High`. This planner is optimized for 2-level screening designs.

Planning notes

Full factorial designs preserve interaction resolution best, but fractional designs become more practical as factor count grows.

Replication improves power and helps separate real factor effects from background noise.

Randomization helps protect the study against time-order bias, warm-up drift, and shift effects.

Factors

Factor summary

Factor Low High Priority

Run Matrix

Randomized 2-level design

Instructions

How to use this app

Enter each factor with a low and high level. Then choose the response goal, expected effect size, confidence target, and the maximum number of runs the operation can realistically support.

The planner recommends either a full factorial or a screening fractional factorial, suggests how many replications are needed to hit the power target, and generates a randomized 2-level run matrix that can be executed directly.

This is a planning tool for quick DOE setup. Before launch, confirm measurement-system adequacy, blocking strategy, safety constraints, and any factor interactions that are too important to alias in a fractional design.