NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020!

CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including:
-What is the future for engineering analysis and simulation?
-Where will it lead us in the next decade?
-How can designers and engineers realize its full potential?
What are the business, technological, and human enablers that will take past successful developments to new levels in the next ten years?

Resource Abstract

Establishing sound systems engineering practices is essential in our modern fast-paced market environment, especially model-based approaches, and have become the means how businesses try to address many of their engineering challenges. Modern systems engineering thinking doesn’t stop at the doorstep of an organization or company. Especially in our modern, connected and interactive world, products begin another life once they get into service. They become part of an “Experience Ecosystem”. The Digital Twin plays a vital role in such an ecosystem.

There are key elements that need to be considered on the part of the digital transformation journey towards enabling leadership in such “Experience-driven” ecosystems. A major capability that needs to be enabled to achieve such leadership is “cognitive” behavior and “continuous” engineering throughout the engineering process, lifecycle and the product/system in service. Some supplemental capabilities towards achieving this level include:

• IoT (Internet of Things) enablement

• Digital Twin capability

• Deep learning

• Predictive analytics

• Scalable communication and compute infrastructure

In this presentation we will discuss and define the capability “Digital Twin” as key with its various maturity levels and how it is linked and interacting with the other mentioned supplemental capabilities. The maturity levels will be related to the CMMI (Capability Maturity Model Integration) scale. Detailed explanation of supplemental elements, like deep learning, predictive analytics, Internet of Thing (IoT) and Industrial Internet of Things (IIoT) will be given as well as their links to the other elements of the digital twin maturity model. Those include infrastructure elements, like computing HPC and edge computing for instance) as well as communicating connectivity, like 5G. In addition, the topic of real-time capability will be discussed.

We will explain how its maturity is impacting the business maturity from a digital transformation perspective and how this, in turn, is defining the competitive position for businesses.