Invention:
This innovation introduces a novel methodology for Digital Engineering wherein data is aggregated rather than propagated and provided to a human engineering manager for decision making purposes. Unlike the current paradigm, this approach aims to consolidate information without automatically disseminating it across models, providing a more effective means of handling interconnected models from heterogeneous disciplines. This process enables a more robust and flexible system without automatically imposing consistency that enhances the overall effectiveness of Digital Engineering.
Background:
Digital Engineering involves the integration of models from diverse disciplines, a process that traditionally relies on automatically propagating data across these models to ensure consistency. However, this approach is insufficient, particularly in the context of systems engineering and engineering management. Current solutions involve the automatic spread of data across models, assuming that this ensures consistency. However, this approach may lead to issues such as oversimplification, loss of context, and lack of adaptability to the intricacies of systems engineering. The innovation addresses the limitations of current Digital Engineering technologies, offering a more flexible and adaptable solution that aligns with the complexities inherent in systems engineering and engineering management.
Applications:
- Digital Engineering
- Engineering management
- Data management
Advantages:
- Enhanced flexibility
- Adaptability
- Reduced cost of updating databases
- Reduced cost of updating models
