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MBSE and Digital Engineering Workshop

Model-based systems engineering (MBSE) is a subset of digital engineering.

MBSE supports the systems engineering activities of requirements, architecture, design, verification, and validation.

The increased adoption of digital-modeling environments during the past few years has led to increased adoption of MBSE.

In fact, NASA has noted this trend by reporting that MBSE has been increasingly embraced by both industry and government as a means to keep track of system complexity.

Understanding the challenges of developing effective MBSE models and integrating tools properly in digital engineering  environments allows systems engineers to deal effectively with the complexity of today’s systems.

For the DoD, digital engineering opens up many digital transformation capabilities, such as seamless data integration.

MBSE and related disciplines unify diverse data streams into one model to provide a single source of truth. With all decisions recorded in one place, digital tools can instantly reflect changes across all aspects of the system.

Digital engineering also benefits the DoD’s weapon systems. The DoD’s digital engineers use an MBSE approach to enable a continuous cycle of building, testing and deployment, which helps move along faster development.

INCOSE refers to Model Based Systems Engineering (MBSE) as the formalized application of digital modelling to support system requirement, system architecture, design, analysis, verification and validation, process planning and service.

With the modelling and verification capabilities of MBSE it is possible to model both your idea of a future product architecture and the related engineering processes and workflows.

Analysts claim that model-based systems engineering (MBSE) environments help bridge the gaps for today’s geographically distributed teams, letting them explore designs and make discoveries together.

This integrated MBSE approach makes teams more agile in responding to evolving demands.

Digital tools capture and preserve vital knowledge. That knowledge library counteracts workforce transitions, shortens development cycle times of future similar and related systems in a repeatable manner.

With organizations experiencing a digital transformation, it is a good idea to figure out the future process and product architecture before committing to implementation.

Model-based systems engineering can help.


As MBSE functionalities develop, more capabilities are expected, causing more expectations that requires more development in the technology. In parallel, digitalization (digital transformation) of product development, especially waterfall type of product development creates extra demand on MBSE and MBSE related technologies by the MBSE adopters.

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

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