October 28, 2014 in Böblingen (Germany)

Systematic design variations with HPC and optiSLang inside ANSYS Workbench

October 29-30, 2014 in Munich (Germany)

Basics in reliability analysis and probabilistics and their practical application

November 3-5, 2014 in Dresden (Germany)

Sensitivity analysis, optimization and calibration using optiSLang and SimulationX

November 4, 2014 in Hannover

Parametric simulation - from inspiration to optimal design

November 4-5, 2014 in Weimar (Germany)

Solutions for structural safety and reliability topics in engineering practice

November 10, 2014 in Weimar

State-of-the-art numerical simulation with optiSLang and multiPlas coupled with the Finite-Element-Programs ANSYS and LS-DYNA.

November 14, 2014 in Freiberg

Conference for Rock Mechanics

November 18-19, 2014 in Baden-Baden

Conference for simulation and testing in automotive development


Specialist articles/press archives RDO Journal Weimar Optimization and Stochastic...

For a realistic safety and reliability analysis, for the proper assessment of material behavior,...

The 4th India Optimization & Stochastic Days were held in Bangalore from September 18-19,...



October 27-29, 2014 in Vienna
November 3-5, 2014 in Weimar (WOST 2014)

November 6, 2014 in Weimar (WOST 2014)

November 6, 2014 (WOST 2014)

November 13, 2014 in Wels (Austria)

November 20-21, 2014 in Weimar

November 25-26, 2014 in Grafing

November 26, 2014, Weimar

Premium software for multidisciplinary optimization, sensitivity analysis,

Robust Design Optimization (RDO) in virtual product development

What would be your benefit if you knew to what extent your product development comes close to a reliable economic optimum? How robust is your design in reality?

Conducting a sensitivity analysis, multidisciplinary optimization, robustness evaluation and reliability analysis with optiSLang enables you to:

  • Quantify risks
  • Identify optimization potential
  • Improve product performance
  • Secure resource-efficiency
  • Save time to market

optiSLang automatically identifies the relevant input and output parameters and quantifies the forecast quality with the help of  the Coefficient of Prognosis ( CoP) and the Metamodel of Optimal Prognosis (MOP). A predictable prognosis quality is the key to an efficient optimization. Thus, a "no run too much" philosophy can be implemented to minimize solver calls. 

Process Integration

Simulation processes from different solvers (ANSYS, MATLAB, Excel, Python ...) or pre and post processors can be adapted via a graphic editors and ASCII files making them accessable for parametric sensitivity analysis, optimization or stochastic analysis.

General Features

Compact overview sensitivity analysis
  • comprehensive systems
  • minimal effort for set up
  • easy process integration
  • state-of-the-art algorithms
  • targeted, individual definitions of performance limits
  • fast parameterization
  • easy definition of constraints and objectives

Current version 4.1.3

Compact overview workflow
  • Best-Practise-Management
  • Graphical workflow, drag & drop functionality
  • Wizard based generation of process chains
  • Excel, Matlab, ANSYS and Python integrated as solver node
  • Result Extraction from ADAMS, Abaqus, ANSYS result files via ETK nodes
  • optiSLang v4 supports the .pro file import


optiSLang inside ANSYS Workbench

Software on Demand

optiSLang is also available as software on demand in Germany, Austria and Switzerland. This service provides fast and economical access to the latest software version for a customized billing of use. For further information, please contact our support.


optiSLang is sold worldwide. A list of our distributors can be found here.

Your contact person

Dr.-Ing. Johannes Will

Fon: +49 (0) 3643 9008-30
Fax: +49 (0) 3643 9008-39