MBSE and Digital Engineering Workshop
MBSE and Digital Engineering Workshop is a 2-day course that that covers Model-based systems engineering, Digital Engineering practices and tools, as well as methods like DODAF, UAF, UPDM, SysML, and more.
In the digital engineering era, Model-Based Systems Engineering (MBSE) provides increased efficiency.
MBSE also provides numerous other advantages over traditional systems engineering approaches, including improved communication, enhanced collaboration, and better overall system quality.
This all takes place with use of models that are especially compatible with a digital engineering approach. By using models to represent the system, engineers can quickly and easily identify potential issues and areas for improvement. This prevents delays and cost overruns. It also ensures that the system is created quickly and efficiently.
Engineers themselves praise MBSE and advocate it because of the way it promotes better communication and collaboration.
MBSE enables multiple stakeholders to work on the same model, which promotes collaboration and reduces the risk of miscommunication. This is important in large, complex systems. There can be many teams working on different parts of the system.
Teams can collaborate more efficiently with a shared model. This ensures their work is in sync with other teams. This helps reduce errors and inconsistent data. It also ensures the system is developed in an efficient and coordinated way.
One especially huge benefit is how MBSE enables multiple stakeholders to work on the same model, which promotes collaboration and reduces the risk of miscommunication.
This is particularly important in large, complex systems because there can be many teams working on different parts of the system.
Teams can collaborate more efficiently with a shared model. This ensures their work is in sync with other teams. This helps reduce errors and inconsistent data. It also ensures the system is developed in an efficient and coordinated way.
MBSE technical approaches are commonly applied to a wide range of industries with complex systems, such as aerospace, defense, rail, automotive, manufacturing.
NASA has been heavily invested in MBSE, especially in conjunction with its strategy bridge for future space-related projects.
MBSE is widely regarded as the future of engineering design and management.
MBSE, gives engineering teams the ability to control and manage the vast amount of data generated by the modern design and development processes. It’s effective, and like all sophisticated, software-driven engineering systems, must be implemented correctly for best results.
Model-based systems engineering and its value to industry are very important topics to understand for any industry working with complex products. That might be integrating consumer demand and market requirements with the more traditional development processes, but it can also be communicating relevant technical information between engineering domains in increasingly interconnected products.
The variability of what it means is why it is so important to look at different industry perspectives, even if an industry already has a grasp on the MBSE methodology – to uncover a process that might work from somewhere else.
Model-based Enterprise Market size is poised to cross $250 billion by the end of 2035, growing at a CAGR of 24.17% during the forecast period, i.e., 2023 – 2035. In the year 2022, the industry size of model-based enterprise was around $19 billion.
MBSE and Digital Engineering Workshop Course by Tonex
MBSE and Digital Engineering Workshop is a 2-day training workshop that covers Model-based systems engineering (MBSE), Digital Engineering practices and tools, as well as methods like DODAF, UAF, UPDM, SysML, and more. MBSE and Digital Engineering workshop will help the participants and lead to greater efficiency and improved quality of all the acquisition activities.
Department of Defense (DoD) Digital Engineering Strategy covers five goals to streamline the DoD acquisition process through the creation of a digital thread enabling the conception, design, and development of complex weapon systems including creation of computer readable models to represent all aspects of the system and to support all the activities for the design, development, manufacture, and operation of the system throughout its lifecycle.
Models would have to be based on shared data schemata so that in effect a digital thread integrates all the diverse stakeholders involved in the acquisition of new weapon systems.
Participants will learn about Model-based systems engineering (MBSE) and digital engineering supporting acquisitions and systems engineering activities of concepts, requirements, architecture, design, integration, verification, and validation.
Workshop Topics Include:
Foundations of Systems Engineering (SE)
- SE and Management
- Applications of Systems Engineering
- Enabling Systems Engineering
Introduction to Digital Engineering
- Formalize the development, integration
and use of models - Enterprise and program decision making
- Technological innovation to improve the engineering practice
- Culture and workforce to support digital engineering
- Lifecycle SE Transformation with Digital Engineering
- Model-Based Systems Engineering (MBSE)
- Overview of Systems Modeling Language (SysML)
- SysML Diagrams
- Transitioning Systems Engineering to a Model-based Discipline
- SE Implementation and Digital Engineering Case Studies and Examples
Overview of Enterprise Architecture Frameworks
- Department of Defense Architecture Framework (DoDAF)
- Quick Overview of MoDAF, NAF and FEAF
- UPDM, UAF, and SysML
- Overview of Operational Activity Diagrams and BPMN Notation
- Introduction to UPDM
- Introduction to MBSE and SysML
- Integration of DoDAF, UPDM and SysML
- Working with DoDAF, UAF and SysML
Unified Architecture Framework (UAF) and System Integration
- Architectures and models for a broad range of complex systems: hardware, software, data, personnel, and facility elements
- Consistent architectures and modeling for system-of-systems (SoS) down to lower levels of design and implementation;
- Analysis, specification, design, and verification of complex systems
- Cybersecurity analysis, specification, and mitigation of security risks from a system/infrastructure perspective
Models, Simulations, and Digital Engineering
- Integrated Digital Systems Engineering Process
- Systems Engineering Methodology
Digital engineering and the advanced computerization of systems engineering practices. - Digital engineering to create complex, latticed systems of products, services, and capabilities
- Tools to digitally generate, curate, share, extract, and work with computable data and information
- Digital engineering modeling and simulation
- Models, Simulations, and Digital Engineering
in Systems Engineering with MBSE and SysML - Modeling and Simulation (M&S) for Systems Engineering
- Preparing for Digital Engineering Modeling and Simulation (M&S)
- Activities to Advance Digital Engineering
- Stove-piped models and data sources
- Acquisition Considerations and Digital Engineering Ecosystem
Workshop Activities: Working with UAF Models and SysML Diagrams
- Activity Diagram (act)
- Block Definition Diagram (bdd)
- Connectivity (Cn)
- Constrains (Ct)
- Information (If)
- Interaction Scenarios (Is)
- Internal Block Diagram (ibd)
- Parameters (Pm)
- Parametric Diagram (par)
- Processes (Pr)
- Requirement Diagram (req)
- Requirements (Req)
- Sequence Diagram (sd)
- State Machine Diagram (stm)
- States (St)
- Structure (Sr)
- Summary & Overview (Sm-Ov)
- Taxonomy (Tx)
MBSE and Digital Engineering Workshop