Design of Experiments (DoE) & Statistical Engineering
Design of Experiments (DoE) & Statistical Engineering
Understanding Complex Relationships and Optimizing Development and Manufacturing Processes
In product development and manufacturing, multiple factors frequently influence product quality and process performance simultaneously.
Conventional experimentation approaches that change only one factor at a time may overlook important interactions and require unnecessary testing effort.
Design of Experiments (DoE) enables systematic, statistically sound investigation of multiple influencing factors and their interactions.
Avary Consulting supports companies in designing and analyzing appropriate experimental studies to identify critical process parameters, establish robust operating ranges, and strengthen technical decisions through reliable data.
Our services include:
- Development of statistical experimentation strategies
- Screening of critical influencing factors
- Design of full and fractional factorial experiments
- Analysis of interactions between process parameters
- Application of Response Surface Methodology, where appropriate
- Statistical analysis and interpretation of experimental results
- Support for process optimization and robustness studies
- Integration of statistical findings into development and validation strategies
In pharmaceutical applications, these methodologies can support science-based development approaches under ICH Q8(R2) Pharmaceutical Development and quality risk management principles under ICH Q9(R1).
Your Business Value: More efficient experimentation, deeper process understanding, and reliable evidence for technical and regulatory decision-making.