Model-Based Systems Engineering
Implementing Model-Based Systems Engineering to Solve Current or Next-Generation Problems
Whether you are turning to Model-Based System Engineering (MBSE) to give you a collaborative engineering environment, greater requirements fidelity or to improve process integration, Vencore can provide the knowledge and experience to transition your organization from a document-centric and stove piped environment to a more cohesive, collaborative and integrated one. We work with clients to establish a framework for implementing a MBSE paradigm to leverage Systems Engineering (SE) principles and processes, as well as the tools that will enable the realization of this framework. Using a suite of tools and properly trained personnel, we are able to build the framework to enable greater capability of MBSE over time for our customers.
Vencore has experience in modeling anticipated performance of components, systems and threads through an evolving enterprise architecture, as well as integrating data and architectures from disparate sources to a centralized repository under configuration management control. We have built environments for customers where different tools can be evaluated for their ability to satisfy MBSE objectives, business analytics and modeling of internal processes.
Benefits of Model-Based Systems Engineering:
SOME KEY BENEFITS WHEN ADAPTING MBSE WITH A VIABLE FRAMEWORK
Confidence that functional requirements will meet all mission threads, operational or functional use –case(s), and scenario needs
- Ensure that architectural designs will meet cost, schedule and technical performance requirements or understand what it will take to satisfy those requirements
- Ensure subsystem designs dovetail into the customer’s desired to-be operational processes
- Decrease the overhead associated with physical documentation generation and maintenance
- Visualize effects of testing, budget drills and schedule changes and their effects on the ability to meet the overall desired capabilities
Detect Issues Early to Reduce Risks
Executable models are imperative in detection of issues at any stage in a lifecycle, acting as a digital twin of the physical system(s) that already exists or are intended. Our approach is to provide a well-built and executable framework the can aide in indicating potential gaps at the earliest lifecycle stages rather than later on in an acquisition lifecycle. This minimizes the cost of re-engineering while affecting your organization’s capabilities significantly more. Additionally, “what if” analysis and excursions can be done without the overhead of recreating system engineering artifacts or time consuming studies, allowing you to see the true impact of change in a more time effective, efficient manner. We offer enhanced ability to analyze changes and risks by conducting an optimize acquisition roadmap, as well as early verification of engineering data.
Consistent, Accurate and Reusable Data
With the implementation of a MBSE framework, our customers have access to the proper data to make informed analysis and decisions. With the ability to relate data as it traces from capabilities to functions to products and services, customers can trace a single requirement to multiple systems and organizations to define the impact of change. Through our experience, we have utilized a variety of modeling standards – UML, System Modeling Language (SysML), UPDM, and UAF – which offer flexibility to work with our customers’ current culture and inherent capabilities of models and tools to manage data and reduce EM overhead.
Accelerate Development Schedules
Our work provides a single system of record (SOR) and an integrated, configuration managed product and allows for a complete picture of testing progress linked to requirements to be generated and to aid in tracking. Linked artifacts are used to inform processes of change across the lifecycle to ensure related data can be updated in a timely manner. Our solution provides a library of artifacts that can be reused, either in whole or in part, to accelerate the planning and design of a new capability, as well as an understanding of what is required to satisfy that new capability.
Opportunities for Cost Reduction and Avoidance
A properly structured MBSE framework within a cohesive, collaborative environment allows for early validation of capabilities and architecture(s), verification of engineering data, as well as an ability to identify changes earlier and more efficiently during the system engineering lifecycle. This can reduce costly barriers and accelerate innovation. By minimizing complexities and risk, organizations have the opportunity to avoid unnecessary overhead and save time and money. The ability to adapt a common modeling language drives integration and interoperability through enhanced understanding and awareness.
Improved Collaboration and Oversight
With all data being stored centrally, we can provide real-time enterprise operational status within common dashboards, giving leadership and stakeholders’ insight into the health and status of the organization. They can then drill down into each project or process to realize the impact of their decisions and gain the “big picture” of how enterprise architecture and model-based system engineering can finally answer the questions of “How is my operation functioning today?” and “Where can I improve?”.