Design of Experiments, Verification & Validation
Design of Experiments, Verification & Validation
Applying Statistical Methods Effectively in Development, Optimization, and Validation
Efficient product and process development requires appropriate experimental strategies, reliable data, and transparent statistical evaluations.
Our workshops provide practical training in the application of statistical methods to research and development, verification, validation, and process optimization.
Key Training Topics:
- Design of Experiments (DoE) and statistical experimental design
- Screening designs and factorial experiments
- Analysis of interactions and critical influencing factors
- Process optimization and definition of robust operating parameters
- Verification & Validation (V&V)
- Statistical sampling and sample size planning
- Risk-based testing strategies and acceptance criteria
- Interpretation and documentation of statistical results
The methodologies are linked to applicable product and quality requirements, including ISO 13485, ISO 14971, MDR, IVDR, and relevant FDA regulations, as appropriate.
Value for Your Organization: More meaningful test results, efficient development experiments, well-founded validation decisions, and better utilization of available resources.