While current simulation algorithms are growing ever more powerful, better management of simulation data and processes within the product development process is vital, so that it can scale to more teams in powerful, cross-disciplinary ways, reducing bottlenecks and increasing the ability to react quicker.
The ever-expanding use cases for simulation, such as quality of additive manufacturing, simulation of Digital Twins, and simulation for autonomous driving scenarios, increase the demand for robust and intelligent simulation automation that is consistent, repeatable and traceable.
Join us to learn more about Simulation Management and Automation with upcoming Process Engine
Reduce design time by capturing your simulation best practices in an executable form
Enforce simulation best practices across the (global) organization
Achieve consistency and accuracy in simulations results
Increase accessibility to simulation and analysis and results