Noesis
process automation
design exploration
optimization
robust design



Input and Output Variability
Input and Output Variability
Output Distribution
Output Distribution

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  Noesis
Robust Design

Designers today understand that their design parameters and input data are variable.  This means that the “optimal” design is also variable, with each product property characterized by a mean value and its variance.  Noesis ensures that even a “variable” product still meets its design specifications.

To ensure that the design satisfies quality criteria (such as “Design for Six Sigma”), Noesis software encompasses simulation techniques (e.g. Monte-Carlo simulation, FORM and SORM for prediction of reliability) to guarantee the robustness and reliability of the design.  All these techniques help engineers design better-quality products.

  • Design for Six Sigma
  • Allow for variability in product manufacturing and loading
  • Make your products more reliable
  • Reduce risk of product failure and associated warranty costs

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