Price: $3,999.90

Length: 4 Days
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MBSE Training Crash Course

Model based systems engineering (MBSE), implemented using languages like SysML, is a methodology that has gained a foothold over the past 10-15 years and continues to be refined and improved today.

Through the formalized application of modeling, MBSE allows the development of a system model to support the development process. The model enables a visualization of the process complexity and thus an identification of the essential complexity drivers. This knowledge is mandatory for the coordinated initiation of countermeasures.

Over the past decade, manufacturers have sought innovative ways to reduce costs and increase quality and efficiency as well as needing to adopt digital models to support design and development.

The MBSE approach has been the perfect fit.

A model-based systems engineering (MBSE) approach allows organizations to design before they build – allowing stakeholders to visualize, simulate and fine-tune product specifications with a greater degree of precision far earlier in the product life-cycle — ideally, before project resources have been committed and project schedules established.

Industries that stand to benefit from the MBSE approach can be conveniently grouped into these sectors:

  • Transportation and mobility
  • Aerospace and defense
  • Industrial equipment
  • Energy and utilities
  • Architecture and construction
  • Life sciences
  • High-tech
  • Marine and offshore
  • Financial and business services
  • Consumer goods and retail
  • Natural resources
  • Consumer packaged goods and retail

One of the most significant advantages of model based testing is that it optimizes the software testing time and cost. To further make test execution more efficient, the automated validation tools access the shortest possible path from the start point to the endpoint. Automated test case generation and execution makes the overall testing solution more efficient and less error-prone.

Another advantage of model based testing is that it generates a minimal number of test cases to validate a given functional or data flow to ensure that the system under test works flawlessly and never does anything undesirable. The minimum number of test cases further result in cost optimization for testing.

However, there is a steep learning curve for testers, which is why training programs such as those offered by Tonex are helpful. Testers need to understand the MBT concept as well as learn about modeling and coding.

MBSE Training Crash Course by Tonex

MBSE Training Crash Course covers all the principals, theories, and techniques associated with Model-based Systems Engineering (MBSE).

MBSE Training Crash Course

Model-based systems engineering (MBSE) is the formal use of modeling to provide system requirements, design, analysis, and verification and validation activities. Such activities initiate in the conceptual design stage and continue throughout development and later life cycle phases.

A model often provides various perspectives to serve different purposes.

MBSE Goals

  • Improved communications
  • With stakeholders
  • Within the engineering project teams
  • Across spoken language barriers
  • Improved quality
  • Early identification of requirements issues
  • Enhanced system design integrity
  • Improved specification of allocated requirements to hardware and software
  • Fewer errors during integration and testing
  • More rigorous requirements traceability
  • Consistent documentation
  • Increased productivity
  • Improved impact analysis of requirements changes
  • Improved interaction across a multi discipline team
  • Reuse of existing models to support design and technology evolution
  • Auto-generation of documentation
  • Reduced risk
  • Improved cost estimates
  • Early, and on-going, requirements validation and design verification

MBSE Techniques and Tools

  • Structured analysis and design
  • Data flow diagramming
  • State transition diagramming
  • Behavioral modeling
  • Entity relationship modeling
  • Finite element modeling
  • Environment virtualization
  • Computer Aided Design (CAD)
  • Analytical modeling
  • Process modeling

System Model

  • Requirements
  • Behavior
  • Structure
  • Properties
  • Interconnections

Audience

MBSE training crash course is a 4-day training designed for:

  • Product manager
  • Project director
  • R and D manager
  • Engineering manager
  • Systems engineer
  • Capability developer
  • Business analyst
  • Systems analyst
  • System architect
  • Enterprise architect
  • Software systems engineer
  • Software engineer
  • Design engineer
  • Hardware engineer
  • Project engineer
  • LSA specialist
  • Industrial engineer

Training Objectives

Upon completion of MBSE training crash course, the attendees are able to:

  • Comprehend the general principals of systems engineering
  • Discuss the main characteristic of a system
  • Understand the overall process factors, and their relationships, which together establish the bases of systems engineering
  • Relate the roles of developer as supplier, developer as creator and developer as acquirer, and to position their own roles, and those of their customers (internal and external) and suppliers (internal and external) within this framework
  • Perform the fundamentals of some of the more important techniques of system requirements analysis, development of physical solution, development of logical solution, evaluation of solution alternatives (trade-off studies) and design iteration
  • Discuss the principles and major techniques of engineering management in a systems project context
  • Demonstrate the fundamental skills to adjust the use of the systems engineering concepts and methods to different application scenarios
  • Explain the concepts and rational behind MBSE, and how it compares to traditional SE
  • Describe overall benefits of MBSE
  • Explain the application of MBSE in the industry
  • Comprehend SysML and that how it supports MBSE
  • Explain how MBSE methods are used to specify and design systems
  • Explain how an organization can transition to MBSE?

Course Outline

Overview

  • What is a system
  • Systems thinking
  • Applying systems thinking to systems design
  • What is systems engineering?
  • Multidisciplinary technique
  • Problem classes
  • The design space: three systems
  • The design space: boundaries
  • The process
  • Domains
  • Communication

The System Life Cycle and Solution Development

  • The solution domain: key concepts, relationships, information types and work products, MBSE
  • OCD/CONOPS/OSD/ADD issues
  • Architectural frameworks
  • Impact of problem definition and stakeholder satisfaction
  • Systems of systems engineering
  • Waterfall, incremental, evolutionary and spiral developments
  • Agile, lean and concurrent/simultaneous engineering

Systems Engineering Processes: Principles, Concepts and Components

  • System concepts
  • SE process principles & components
  • Requirements assessment
  • Development of physical solution description
  • Development of logical solution description MBSE
  • Effectiveness evaluation and decision
  • System elements – specification writing
  • System integration
  • Verification and validation
  • Engineering management

Requirements Analysis

  • What are requirements?
  • Various types of requirements, and how they relate to analysis, specification & design
  • Requirements quality qualities
  • Requirements languages: operational, formal
  • Requirements analysis (RA) – how to do it
  • MBSE in the problem domain
  • Requirements quality measures
  • Lean concepts in functional analysis for the product-oriented enterprise
  • ERA analysis, rest-of scenario analysis, out-of-range analysis, other constraints search, stakeholder value analysis
  • The Operational Concept Description (OCD)/CONUSE
  • Managing RA
  • Requirements analysis and management software tools

Development of the System Physical Solution Description (Synthesis)

  • Technology and innovation in solution development
  • Configuration items
  • Standards for selecting configuration items

Development of the System Logical Solution (MBSE in Design)

  • Rational representation classification
  • Functional analysis in design
  • Architecture process
  • Implementation risks
  • SysML, LML and other systems modeling languages
  • n-squared charts, behavior modeling, and other functional notations
  • Assessment and design software tools

What is A Model?

  • Components of a model
  • Characteristics of a model
  • Language: the systems model is language-based language of behavior
  • Managing complexity with language
  • Structure: the model expresses system relationships
  • Argument: the model is used to “prove” the concept of the design
  • Presentation: the model must be “viewable”

Model-Based Systems Engineering

  • Requirements for a systems engineering processes
  • MBSE model and system definition language developing layer 1 of our solution
  • Proceeding with layer 2
  • Architecture design at layer n
  • Verification and validation

MBSE Definitions & Advantages

  • International council on systems engineering (incose) definition & advantages
  • Model-Based Systems Engineering (MBSE) definition
  • Advantage to using MBSE
  • Sysml forum mbse definition & advantage
  • SysML forum MBSE definition
  • SysML forum MBSE advantage

INCOSE Systems Engineering Vision 2020

  • Vision 2020 integrating framework
  • Systems engineering vision
  • Role of MBSE within systems engineering vision 2020

MBSE Methodologies

  • INCOSE Object-Oriented Systems Engineering Method (OOSEM)
  • IBM rational telelogic harmony-se
  • IBM rational unified process for systems engineering (RUP-SE)
  • JPL State Analysis (Sa)
  • VITECH MBSE methodology
  • Dori Object-Process Methodology (OPM)
  • Weilkiens Systems Modeling Process (SYSMOD)
  • Fernandez ISE & Process Pipelines in OO Architectures (ISE&PPOOA)

MBSE Modeling Language Standards

  • SysML
  • UML

MBSE Software Tools

  • MBSE tools and relevance of other “de-facto” MBSE visual modeling standards
  • SAE Architecture Analysis and Designing Language (AADL)
  • Vitech Core
  • MagicDraw
  • Phoenix integration
  • IBM® RATIONAL® RHAPSODY®
  • Eclipse
  • ISIGHT & the SIMULIA execution engine

Lean Engineering

  • Lean Implementation Develops From TPS
  • Differences From TPS
  • Lean goals and strategy
  • Steps to achieve lean systems
  • How Can Lean Connect With MBSE

Hands-On activities

  • Labs
  • Individual/small group activities
  • Hands-on workshops

TONEX MBSE Hands-On Workshop Sample

  • Defining the problem
  • Studying the system and its components
  • Figuring out the relationship between the components and the entire system
  • Discussing the characteristics of the system
  • Modeling the system

MBSE Training Crash Course

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