- easily create an automated engineering workflow, using Optimus to encapsulate MapleSim's advanced modeling and simulation capabilities. In doing so, Optimus automatically recognizes all design parameters and system response variables available in MapleSim.
- build and validate meta-models that confidently model system response in all design regions of interest, enabling a truly multiobjective optimization within tight time constraints.
- perform a sensitivity analysis on the model, to quickly eliminate the design parameters that have limited impact on system response.
- select the best out of the good, applying decision filters to all Pareto-optimal solutions identified by the multiobjective optimization process.
Using a concrete example of a skip lifting system used in a Dual-Truck Mobile Sizer (DTMS) machine, we will show how Optimus, id8 decide & MapleSim enable engineering teams to decide on the best design, saving days of computations.