Multidisciplinary Analysis and Optimization

Training  "Multidisciplinary Analysis and Optimization"

At the 2 days training course, the basics and methods will be communicated for multidisciplinary analysis and optimization with the software OptiY®. Concurrently, the course contains also practical exercises for challenges  of CAD/CAE-engineers in the industry.

Course Content

1. Workflow-Management and Process-Integration

  • Define of Design Parameters, Objective Functions and Constraints
  • Data-Import and Export
  • Integration of extern CAE-Solver und CAD-Program
  • Distributed Computing in Network
  • Scripting with Visual Basic.NET

2. Methods of Nonlinear Optimization

  • Grid-Search
  • Hooke-Jeeves
  • Evolutionary Algorithms
  • Adaptive Response Surface
  • Multi-Objective Optimization

3. Design of Experiment (DOE)

  • Factorial Design (Full Factorial, Center Composite)
  • Sampling Methods (Monte Carlo, Latin Hypercube, Sobol)
  • Moment Methods (First und Second Order)
  • User Design

4. Global and Nonlinear Sensitivity Analysis

  • Meta-Model
  • Stochastic Variances
  • Sobol Index (Main- and Total-Effect)
  • Parameter-Interactions

5. Reliability and Robustness Evaluation

  • Random Variables
  • Distribution Fitting
  • Robustness
  • Failure Probability
  • Six Sigma Design

6. Robust Design und Tolerance-Cost Optimization

  • Taguchi Quality Loss Function
  • Tolerance-Cost Model
  • Variance-Based Optimization
  • Reliability-Based Optimization
  • Tolerance-Cost Optimization

7. Meta-Modeling

  • Adaptive Design
  • Meta- or Surrogate Model
  • Export of Meta-Model for System-Simulation

8. Data-Mining

  • Data-Import
  • Regression
  • Sensitivity Analysis
  • Stochastic Analysis
  • Optimization
  • Export of Surrogate Model




Dr. The-Quan Pham



2 Days from 9.00 to 17.00



Würzburg, Germany



800,- Euro (excluding VAT)



40% for University Members

20% for Registration with multiple Persons


Date: available on request