Length: 2 Days
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Advanced MBSE – Managing Models and Modelers Training by Tonex

MBSE-SysML-Training

The Advanced MBSE Course offered by Tonex is a comprehensive and highly specialized program designed to equip participants with advanced skills and techniques in managing complex models and modelers in the context of Model-Based Systems Engineering (MBSE). This intensive training is tailored for professionals, engineers, project managers, and system architects seeking to take their MBSE expertise to the next level and effectively manage intricate modeling processes within their organizations.

Who Should Attend?

This course is ideal for professionals working in engineering, systems development, project management, and architecture roles. It caters to individuals seeking to enhance their MBSE skills and effectively manage complex modeling tasks and teams. Specific roles that can benefit from this course include:

  • Systems Engineers and Architects
  • Project Managers
  • Modeling Team Leads
  • Software Engineers and Developers
  • System Integration Specialists
  • Quality Assurance Professionals

Learning Objectives:

Throughout the Advanced MBSE Course, participants will gain an in-depth understanding of the principles, methodologies, and tools required to manage large-scale model-driven projects successfully. The course delves into the challenges faced by organizations dealing with multiple modelers, large modeling teams, and complex systems, and provides strategies to overcome these challenges effectively. The key objectives of the course include:

  • Participants will grasp advanced MBSE concepts, principles, and best practices, enabling them to streamline model development and maintenance processes.
  • Learn various model management strategies to optimize collaboration, version control, and data integration across the modeling lifecycle.
  • The course emphasizes fostering effective teamwork and collaboration among modelers, ensuring seamless integration of their contributions into the overall model.
  • Gain insights into quality assurance techniques and validation processes to ensure accuracy, consistency, and reliability of models.
  • The course covers configuration management strategies to handle diverse model versions and configurations while avoiding conflicts and inconsistencies.
  • Acquire techniques to manage and simplify complex models, making them more understandable and maintainable.
  • Learn potential risks and challenges associated with model management and equips participants with risk mitigation strategies.
  • Participants will be exposed to cutting-edge MBSE tools and software, empowering them to make informed decisions when selecting the most suitable tools for their projects.

Outlines:

Introduction to Advanced MBSE

  • Overview of Model-Based Systems Engineering (MBSE)
  • Benefits of Advanced MBSE Techniques
  • Challenges in Managing Models and Modelers
  • Course Objectives and Structure

Advanced MBSE Concepts and Principles

  • Review of MBSE Fundamentals
  • Model Development Best Practices
  • Model Documentation and Reusability
  • Handling Complexity in MBSE

Model Management Strategies

  • Collaborative Model Development
  • Data Integration and Interoperability

Managing Modelers and Modeling Teams

  • Team Organization and Roles
  • Effective Communication and Coordination
  • Dealing with Modeler Skill Gaps
  • Conflict Resolution in Model Development

Quality Assurance and Validation in MBSE

  • Ensuring Model Accuracy and Reliability
  • Validation Techniques for MBSE Models
  • Verification and Validation Processes
  • Metrics for Model Quality Assessment

Model Configuration Management

  • Configuration Management Strategies
  • Branching and Merging Models
  • Handling Model Variants and Configurations

Managing Complex Models

  • Techniques for Simplifying Complex Models
  • Model Abstraction and Decomposition
  • Model Modularization and Reusability

Risk Management in Model-Based Systems Engineering

  • Identifying Risks in Model Development
  • Mitigating Risks in MBSE Projects
  • Contingency Planning for Model Issues

Introduction to MBSE Tools and Software

  • Overview of Leading MBSE Tools
  • Selecting the Right Tools for Your Organization
  • Integrating MBSE Tools into Workflows

Practical Exercises and Case Studies

  • Hands-on Model Development Exercises
  • Case Studies on Real-world MBSE Projects
  • Group Discussions and Problem-solving Scenarios

Course Wrap-up and Summary

  • Key Takeaways from the Course
  • Q&A Session with Instructors
  • Feedback and Course Evaluation

 

 

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