Digital engineering refers broadly to the practice of using 3D modeling tools for functions from design to testing, modernizing, and maintaining systems. It’s an umbrella term that encompasses model-based systems engineering (MBSE), modeling and simulation, and computer-assisted design.
Applying digital engineering in an open-architecture system with unified data and advanced analytics, stakeholders can generate insights to accelerate decision-making. Digital modeling offers transformational capabilities such as:
- Seamless data integration. MBSE and related disciplines unify diverse data streams into one model to provide a single source of truth. With all decisions recorded in one place, digital tools can instantly reflect changes across all aspects of the system.
- A consistent technical baseline. As the authoritative source of data, the model generates documentation and other engineering artifacts that allow technical teams to move forward with a trustworthy reference source. In addition to eliminating errors, digital engineering removes the need to check for consistency between models and documents—just as one would not need to check a digital and printed copy of the same document.
- An agile, testable ecosystem. Digital architectures create unified ecosystems which can be pivoted and filtered for different scenarios, serving a spectrum of stakeholders. For example, a model’s data can inform the team that’s designing a new system as well as the logistics experts who will maintain it. Moreover, engineers can link and integrate different tools to create a digital twin environment. Tests applied to the digital replica will generate rapid results without risking damage to the virtual twin’s physical counterpart.