Supporting MDO through dynamic workflow (re)generation

The use of advancements in computing technology has enabled designers to perform more thorough and more detailed design studies. Multidisciplinary Design Optimization (MDO) architectures provide users with guidelines on how to structure their MDO problem, including the linking of disciplines and how to perform the optimization. However, complex...

Strategic Conformal Automation for Air Traffic Control: A Machine Learning Approach

Acceptance of automation has been a bottleneck for successful introduction of automation in Air Traffic Control. Strategic conformal automation has been proven to increase automation acceptance, by creating a better match between automation and operator decision-making. In this paper strategic conformal automation for Air Traffic Control is...

A New Methodology for the Development of Simulation Workflows: Moving Beyond MOKA

One of the main challenges in Multi-disciplinary Design Optimisation (MDO) is the interoperability of heterogeneous simulation tools. Some researches have reported that, due to these interoperability issues, only around 20% of the product development time is spent on analyses and creative design tasks. Clearly, there is a lot to gain, when it...