1 - Capabilities of a Digital Engineering System

Digital Engineering leverages digital tools, technologies, and methodologies to enhance complex systems' design, development, and lifecycle management. Integrating the disciplines of Systems Engineering and Data Science enables the seamless flow of information and collaboration across teams using Digital Twins, Simulation, Artificial Intelligence, and Machine Learning to model, analyze, and optimize systems before physical implementation, reducing costs, improving efficiency, and accelerating the development process while ensuring greater accuracy and adaptability to evolving requirements. Digital Engineering is the ability to develop, validate, use, curate, and maintain technically accurate digital systems and models of systems, subsystems, and their components at the appropriate level of fidelity, ensuring activities adequately simulate the environment in which a system will be deployed, resulting in:

Accelerated Development Cycles:

• Reducing time-to-market through faster design, prototyping, and testing.
• Rapid iterations and design improvements.
• Faster response to changing environment demands and evolving requirements.

Enhanced Product Quality and Innovation:

• Improving design quality through virtual testing and analysis.
• Early identification and mitigation of potential issues.
• Increasing product reliability and reduced risk of failure.
• Fostering a culture of innovation through rapid experimentation and exploration of new design concepts.

Reduced Costs:

• Minimizing physical prototyping and testing costs.
• Reduced rework and scrap rates.
• Improving manufacturing efficiency through optimized processes.
• Lowering maintenance costs through predictive maintenance and improved system reliability.

Improved Decision-Making for the Cost, Schedule, and Technical Performance of the System:

• Data-Driven decision-making based on real-time data and advanced analytics.
• Enhancing risk assessment and mitigation capabilities.
• Improving resource allocation and optimization.

Increased Innovation of the Solution Provided by the Resulting Capabilities:

• Enabling Organizations to develop more innovative and competitive solutions and services.
• Significant advantages in today's rapidly evolving technological landscape.
• Enabling Organizations to adapt more quickly to changing market demands and emerging technologies.

Enhanced Collaboration and Communication for Participants in Resulting Solutions:

• Improving communication and collaboration among stakeholders.
• Facilitated seamless information sharing and knowledge transfer.
• Breaking down of silos between different engineering disciplines.

Improved System Performance Delivering:

• Optimizing system design for improved performance, efficiency, and reliability
• Enhancing system safety and security.
• Improving operational efficiency and reduced downtime.

Increased Sustainability of Delivered Capabilities:

• Reducing environmental impact through optimized resource utilization and minimized waste.
• Enabling the development of more sustainable products and systems.