Well-designed experiments answer more questions with less time and material. Our experimental design consulting helps R&D and manufacturing teams plan studies that deliver clear, reliable results.
We apply factorial, response surface and screening designs tailored to textile and materials problems.
Common problems we're called in to solve
- Experiments change one factor at a time and miss interactions.
- Trials consume too much material and time.
- Results are inconclusive because of poor design.
- Too many factors to test all combinations.
Our approach
- 1Define objectives, factors and responses.
- 2Select an efficient experimental design.
- 3Support execution and data collection.
- 4Analyze results and recommend optimal settings.
Outcomes and benefits
- Fewer, more informative experiments.
- Understanding of factor interactions.
- Faster development and optimization.
Serving Pleasant Hill and the Bay Area
From Bay Area R&D labs to California production plants, we help teams run smarter experiments.
Frequently asked questions
What is design of experiments?
A structured method for planning experiments so that multiple factors and their interactions can be studied efficiently.
Can DOE be used in production?
Yes. It is a powerful tool for process optimization on production equipment.
How many trials will we need?
Far fewer than one-factor-at-a-time testing; the exact number depends on the factors and design chosen.