Length: 2 Days

Model-Based Systems Engineering and Simulation Training by Tonex

Model-Based Systems Engineering and Simulation Training by Tonex

Model-Based Systems Engineering and Simulation Training by Tonex helps engineering teams use model-centered methods to plan, analyze, verify, and manage complex systems across the full lifecycle. The course focuses on requirements traceability, behavior modeling, architecture views, interface definition, parametric analysis, mission workflows, and digital engineering practices. Participants learn how structured models improve design clarity, reduce late-stage rework, and support better technical decisions.

Cybersecurity is addressed as a core engineering concern within architecture, interfaces, requirements, and lifecycle controls. Participants examine how model-driven practices can expose security gaps earlier, strengthen cyber-resilient design, and support secure configuration control across connected engineering environments.

Learning Objectives

  • Understand how MBSE supports complex system planning and lifecycle decision-making
  • Build clear links between stakeholder needs, requirements, models, and verification evidence
  • Apply behavioral, parametric, mission, and interface modeling methods to engineering problems
  • Use digital thread concepts to connect design, analysis, verification, and change records
  • Improve cybersecurity awareness by identifying security-relevant requirements, interfaces, risks, and control points within system models
  • Develop governance practices for model quality, version control, review, and configuration management

Audience

  • Systems Engineers
  • MBSE Practitioners
  • Program Managers
  • System Architects
  • Digital Engineering Teams
  • Requirements Engineers
  • Verification and Validation Professionals
  • Cybersecurity Professionals
  • Technical Leads and Engineering Managers

Course Modules

Module 1: MBSE Foundations and Integration

  • MBSE role in system lifecycle planning
  • Model-centered engineering workflow concepts
  • Stakeholder needs and architecture alignment
  • Engineering views and viewpoint selection
  • Model purpose and scope definition
  • Common MBSE adoption challenges

Module 2: Requirements Traceability Methods

  • Requirement hierarchy and decomposition
  • Trace links across model elements
  • Verification planning from requirements
  • Requirement quality and consistency checks
  • Change impact analysis methods
  • Traceability reporting and review practices

Module 3: Behavioral Model Development

  • Functional behavior representation
  • State-based system behavior views
  • Activity and process flow modeling
  • Event-driven behavior coordination
  • Operational scenario structure
  • Behavior validation against requirements

Module 4: Parametric Trade Analysis

  • Parametric relationship definition
  • Performance measure selection
  • Constraint and variable management
  • Trade study planning methods
  • Sensitivity and margin assessment
  • Decision support using model data

Module 5: Mission Operations Modeling

  • Mission thread development methods
  • Operational sequence representation
  • User role and actor mapping
  • Scenario-driven system assessment
  • Mission risk and dependency review
  • Operational performance evidence capture

Module 6: Governance and Digital Thread

  • Model governance policy structure
  • Version and baseline control
  • Interface and architecture review
  • Digital thread data connections
  • Configuration audit readiness
  • Secure model management practices

Strengthen engineering decisions with Model-Based Systems Engineering and Simulation Training by Tonex and help your team build clearer, more traceable, and more secure system designs.

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