Digital Engineering with MBSE/SysML Workshop by Tonex
This hands-on workshop provides a deep dive into Digital Engineering using Model-Based Systems Engineering (MBSE) with SysML. Designed for professionals in systems engineering, this course integrates the latest industry practices and standards. Participants will learn to apply SysML to complex systems, mastering techniques that enhance collaboration, reduce design risks, and improve project outcomes. Through interactive modules and practical exercises, learners will gain the skills to model, simulate, and optimize engineering systems efficiently.
Learning Objectives:
- Understand Digital Engineering principles and their role in modern systems engineering.
- Apply Model-Based Systems Engineering (MBSE) concepts effectively.
- Use SysML for designing, analyzing, and managing system requirements.
- Develop models for complex systems, ensuring accurate representation of components.
- Optimize systems using digital simulations and model analysis.
- Enhance cross-functional collaboration through shared models and digital standards.
Target Audience:
- Systems Engineers
- Project Managers
- Systems Architects
- Design Engineers
- Product Managers
- Technical Professionals in Digital Engineering
Course Modules:
Module 1: Introduction to Digital Engineering and MBSE
- Overview of Digital Engineering fundamentals
- Introduction to Model-Based Systems Engineering (MBSE)
- SysML as a modeling language for MBSE
- Benefits and challenges of Digital Engineering and MBSE
- Industry applications and case studies
- Understanding digital threads and digital twins
Module 2: Fundamentals of SysML for MBSE
- SysML syntax and semantics
- Using SysML diagrams for system modeling
- Structural vs. behavioral modeling in SysML
- Defining system requirements with SysML
- Model organization and best practices
- Practical SysML tool introductions
Module 3: Requirement Analysis and Management with SysML
- Capturing system requirements in SysML
- Requirements traceability techniques
- Decomposing and prioritizing requirements
- Validating requirements against stakeholder needs
- Linking requirements to system models
- Managing changes in requirements
Module 4: System Architecture Modeling
- Defining system structure and components
- System architecture and decomposition strategies
- Using Block Definition Diagrams (BDD) and Internal Block Diagrams (IBD)
- Modeling interfaces and interactions
- Ensuring consistency across architectural views
- Architecture model validation and verification
Module 5: Behavior Modeling and Simulation
- Creating Activity, Sequence, and State Machine diagrams
- Capturing system behavior and workflows
- Modeling and simulating system scenarios
- Analyzing system performance with simulations
- Testing and validating behavioral models
- Optimization techniques for behavioral models
Module 6: Model Verification, Validation, and Integration
- Verifying models against system requirements
- Techniques for model validation and quality assurance
- Integrating models across the system lifecycle
- Documentation and reporting using SysML models
- Managing model versions and configurations
- Leveraging digital twins for continuous validation
Advance your skills in Digital Engineering with this comprehensive workshop. Empower your career with MBSE and SysML expertise. Enroll today to transform your approach to systems design and optimization!