Design of Experiment (DOE) is a systematic method for planning experiments to create knowledge and understanding. The benefit of DOE is to gain knowledge and estimate the best operating conditions of a process or product. With DOE you generate new data about your process to gain the knowledge. The operating conditions can further be assessed with Quality by Design principles (QBD) which take uncertainties into account for predictions.
- Less experiments to maximize knowledge
- Minimize the risk of human errors using dedicated workflows
- Guidance towards the optimal settings to optimize outcome
- A validated product guarantees regulatory compliance
