Six Sigma quality engineering is our corporate strategy. It enables us to substantially improve the quality, cut the product cost and development cycle.

In combination with solid CAD modeling and finite element analysis, Six Sigma methods allows us to rapidly and accurately acquire necessary data to design low cost, highly reliable products, greatly reducing research and development as well as delivery time. Small scale (often virtual) experiments allow us to reduce variability and find cost effective robust designs for large scale production.

We practice the Theory of Inventive Problem Solving (TRIZ), which allows us to break conventional thinking paradigms and find the most optimal solution for your problem. Very often this enables us to design our customers "out of the corner", and resolve difficult problems in existing products.

• Taguchi quality methods
• Robust engineering
• Variability reduction
• Design of experiments (DOE) for product and manufacturing
process  optimization
• Solid CAD modeling
• Finite element analysis (FEA) to solve structural (static and
dynamic) and thermal problems
• Geometric dimensioning and tolerancing (GDT) and tolerance
variation analysis
• Theory of inventive problem solving (TRIZ)