optiSLang

optiSLang is a commercial software tool for design optimization, uncertainty quantification, and robust design. Developed by Dynardo GmbH, it provides a workflow-based environment to perform parameter studies, build surrogate models, and quantify the impact of parameter uncertainties on simulation outcomes. The tool is widely used in engineering to improve performance, reliability, and cost efficiency across domains such as automotive, aerospace, and energy.

Core capabilities include design of experiments and sampling strategies to cover the input space; metamodeling techniques including Kriging, polynomial chaos expansions, response surface methods, radial basis functions, and surrogate neural networks; global optimization algorithms for continuous, discrete, or mixed-variable problems; sensitivity analysis using variance-based methods (Sobol indices) and correlation measures; uncertainty propagation and reliability analysis using Monte Carlo sampling, Latin hypercube sampling, FORM/SORM; and robust design optimization and reliability-based design optimization to balance performance with risk and variability. The software supports adaptive sampling and error estimation to improve surrogate accuracy during optimization.

optiSLang integrates with major CAE tools and simulation workflows, enabling direct coupling with finite element, CFD, and system-level models. It can be operated through scripting interfaces and graphical workbenches, supporting interoperability with Matlab/Simulink and other platforms.

In practice, optiSLang is used to reduce experimental campaigns, accelerate product development, and document design choices with quantitative uncertainty assessments.