What is Digital Engineering?
Digital Engineering is an approach to developing complex systems using machine-readable models, automated analysis, and reproducible workflows instead of document-centric engineering.
The problem
Many engineering workflows still depend on Word documents, spreadsheets, and disconnected diagrams. These formats are difficult to analyze, validate, version, and reuse.
The shift
Digital Engineering introduces structured models as the central engineering artifact. This makes it possible to automate checks, connect tools, improve collaboration, and enable more robust development workflows.
What it enables
- machine-readable architectures
- automated validation
- artifact generation
- simulation and analysis
- traceability across engineering data
- AI assistance grounded in structured models
MBSE, MBD, and the bigger picture
Teams often combine MBSE (model-based systems engineering) with domain-specific model-based practices. Digital Engineering does not replace discipline expertise — it makes critical relationships, requirements, and interfaces explicit and computable so automation and governance can scale with system complexity.
Digital thread and digital twin initiatives also benefit when the underlying engineering data is structured: fewer manual reconciliations, clearer change impact, and a better foundation for monitoring and simulation.
Common pitfalls
- Treating diagrams as the model instead of maintaining analyzable underlying data.
- Tool lock-in without portable, text-based representations.
- Underestimating versioning, review, and CI for models — the same rigor as for software.
Why Elan8
Elan8 focuses on practical tooling that helps make this transition real for engineering teams working on complex systems — including Spec42 for SysML v2 / KerML in VS Code. Explore the Learn section for SysML v2 and curated resources, or jump to Products.
FAQ
What is Digital Engineering compared to MBSE? ▼
Model-based systems engineering (MBSE) is a set of practices centered on models as primary artifacts. Digital Engineering is the broader shift toward digital, connected, automatable engineering processes — often using MBSE models as the authoritative technical data. In practice, strong MBSE is a major part of Digital Engineering for complex systems.
What about model-based design (MBD)? ▼
MBD often refers to model-based development of controls and embedded software (e.g. simulation, code generation). Digital Engineering spans the full system lifecycle and multiple domains; MBSE and MBD can coexist — the key is making critical information machine-readable and traceable, not trapped in documents.
What are digital thread and digital twin? ▼
A digital thread is a connected flow of data across the lifecycle so design, manufacturing, and operations stay aligned. A digital twin couples a model with a real asset or process for monitoring and prediction. Both depend on structured data and clear interfaces — the same direction as model-centric engineering.
Where does SysML v2 fit? ▼
SysML v2 is a standard language for systems models — requirements, architecture, behavior, and more — in a textual, tool-friendly form. It is one way teams make system intent machine-readable. See our overview of SysML v2 and curated resources in the Learn section.
What does Elan8 build? ▼
Elan8 focuses on practical tools for structured system models and engineering workflows — for example Spec42 for SysML v2 / KerML editing in VS Code. See Products for details.