Length: 2 Days
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MBSE and Digital Engineering Workshop

MBSE (Model Based Systems Engineering) and digital engineering are intrinsically complimentary.

MBSE environments help bridge the gaps for today’s geographically distributed teams, letting them explore designs and make discoveries together. In other words, the integrated approach makes them 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.

Although MBSE is often associated with product and system modelling, it is also applicable to the modelling of IT and process architectures. INCOSE refers to model-based systems engineering as the formalized application of digital modelling.

MBSE and digital engineering have become essential in an ever-expanding number of organizations, both in the private sector and Department of Defense.

This is due in large part because today’s products are growing in complexity and driving change in how they are defined, designed and manufactured. Product competitiveness requires an ever-increasing amount of electronics and software to satisfy the demand for more features, safety and connectivity.

Achieving this new level of functionality necessitates better requirements, analysis, architecture optimization and continuous verification.

Bottom line: MSBE is a key enabler of effective digital engineering.

As vendors have discovered, developing tools that can enable effective digital engineering is not enough. Tools without effective MBSE can result in a power that goes unharnessed. MBSE implementations not only connect tools within the DE environment, but they also connect a broad set of stakeholders.

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.

By using specific MBSE tools, organizations can start by modelling and analyzing the status quo of their existing product and process architecture and model approaches to their transformation before laying hands on the productive environment.

Both, product and process models can be simulated and validated before committing to the implementation of the digital transformation projects.

MBSE historically focused on expressing and recording requirements, design, analysis, and verification information. As modeling technology matures, it provides even more value by accelerating learning (e.g., simulation) and provides better insights into the physical world as in digital twins.

Both are important to evolve live systems and enable Enterprise Solution Delivery.

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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