Model a system for next generation tiltrotor aircraft

Model a system for next generation tiltrotor aircraft


Objective

The customer sought a partner to:

  1. 1. Model the functional and logical requirements for the mission package on the next-generation tiltrotor aircraft.
  2. 2. Integrate the current Systems Engineering-derived architecture into the system model, ensuring compliance with Department of Defense (DoD) requirements.
  3. 3. Complete these tasks promptly to meet an imminent project deadline.
Solution Provided
  1. 1. Conducted functional and logical mapping through flows, use cases, and diagrams across all systems, subsystems, and components.
  2. 2. Modeled functional and logical requirements for the aircraft mission and avionics package.
  3. 3. Integrated the Systems Engineering-derived architecture into the system model.
  4. 4. Generated use cases and behavioral flows.
  5. 5. Combined Systems Engineering domain expertise with Model-Based Systems Engineering (MBSE) methodologies to deliver all seven work packages on schedule, aligning meticulously with the customer's style guide and directives.
Key Features
  1. 1. Functional and logical decomposition
  2. 2. Behavioral flows, use cases, and activity diagrams
  3. 3. Functional/logical mapping through flows
  4. 4. Use cases and diagrams across all systems, subsystems, and components
  5. 5. Systems Engineering
  6. 6. MBSE
  7. 7. Systems Design
  8. 8. Requirements Modeling
  9. 9. Utilization of Cameo software
Value Provided
  1. 1. Enhanced feature maintainability by replacing discrete and disconnected infrastructure component designs with a reusable design framework.
  2. 2. Increased component extensibility by building customizations to identify and validate model changes and their downstream impacts.
  3. 3. Reduced artifact processing and review time by migrating from manual processes to scripted automations.
  4. 4. Delivered the project on budget and ahead of schedule while increasing the scope and exceeding the customer's expectations.
  5. 5. Achieved an 80% reduction in artifact review time.