Optimize Your Complex Multidisciplinary System
Multidisciplinary Design Optimization helps teams
design the best version of their product.
Precise Design Optimization
Integrate and optimize coupled disciplines simultaneously to enhance the design of complex systems. Accelerate optimization using surrogates or incorporate uncertainty into the model to boost confidence in the results.
Manage Interdependencies
Eliminate design biases towards any subsystem and let the data reveal the truth. Conduct Multi-Objective Optimizations to make data-driven decisions on trade studies.
Seamless Integration with MBSE
Incorporate Multidisciplinary Design Optimization into your systems engineering workflow as a standard procedure. Stay agile and responsive to changing customer needs, allowing for iterative modifications and swift optimization of designs.
Did You Know Optimization Can Improve Your Design Metrics By 80%?
A remarkable example* of large-scale Multidisciplinary Design Optimization involved a small satellite, successfully optimizing over 25,000 design variables and 2.2 million state variables. This process resulted in an 80% improvement in the objective total data downloaded.
* John T. Hwang, Dae Young Lee, James W. Cutler, and Joaquim R. R. A. Martins. Large-Scale Multidisciplinary Optimization of a Small Satellites Design and Operation. Journal of Spacecraft and Rockets, 2014. doi:10.2514/1.A32751
Synchronised Collaboration Between System Teams Enables Coordinated Efforts and Optimized Outcomes
Instead of passing locally optimized parameters to the next system team, the design is now optimized globally during each iteration. This approach ensures that all subsystems’ performances are properly balanced to achieve the true optimum.
Transform Your Workflow With the Powerful Integration of MDO and MBSE
Incorporating Multidisciplinary Design Optimization into your MBSE methodology seamlessly integrates the systems engineering aspects with the design workflow. Automate requirements management, analyses, tests and more following each iteration of design optimization. Leverage data analytics and BI tools to maximise product-market fit.