Despite decades of software development, simulation continues to mostly exist within organizational silos that are geographically-distributed and isolated, not just from each other but from all other enterprise engineering processes and platforms. Also, simulation processes are limited to a small number of experts, is highly manual and error-prone, and hence, do not meet the global competition-driven need for rapid innovation and quick time-to-market.
The primary emphasis of simulation point tools to accurately simulate more and more complex phenomena, while required, has had the unintended side effect of encouraging and often requiring siloed organizational structures. These silos isolate the simulation experts, their difficult-to-master point tools, and the related data, resulting in incorrect inputs, simulation models that only the experts can use and outputs not available to the enterprise in a timely manner. This combination of expert-driven point tools and organizational silos thwarts the need for multidisciplinary and multi-physics simulation automation and enterprise engineering data management – for simulation to be an effective enterprise tool, something fundamental needs to change.
The authors will present use cases in the aerospace & defense, automotive and heavy equipment industries to demonstrate how various global companies are achieving greater ROI from their simulation investments.