Model-Based Approach to Systems Engineering (MBSE)

Learn about ‘A model-based approach to Systems Engineering, an approach to systems engineering which uses models to deal with complexity and improve communication with stakeholders. Discover how adopting a model-based approach can improve your systems engineering. A complete overview of MBSE and how it can be used in your business.

Description

Programme

Introduction to Model-Based Systems Engineering

This introductory module establishes the need for MBSE, introduces the MBSE Mantra of People, Process & Tools, gives an overview of MBSE in One Slide and discusses the evolution of MBSE in your organisation.

Modelling

An essential and obvious enabler for MBSE is, of course, modelling. In this module we discuss the what, where, when & how of modelling.

The structural and behavioural aspects of any model are discussed through two of the SysML diagrams which are covered in some detail. On overview of the remaining diagrams is given, with a focus on the relationships between the various diagrams rather than attempting to teach all of the syntax of the language (as this is an MBSE course and not a SysML course). By focusing on the use of modelling and consistency, we will demonstrate how to build up a true, consistent collection of views that make up a model, rather than just a collection of pictures.

MBSE Concepts - the MBSE Ontology

A key part of any systems engineering endeavour is for all of your teams to share a common language. This is a great idea in principle, but the practice is somewhat more difficult to attain. When considering common language, it is essential that we think about both the spoken language and the domain-specific language. In real life we cannot assume that adopting a common spoken language, such as English will result in efficient communication as we need also consider the domain specific language, perhaps based on: the discipline (for example: electrical, mechanical, software, etc.), the industry (for example: automotive, aerospace, IT, etc.) or, indeed, the organisation. In this course we introduce the Systems Modelling Language (SysML) as the spoken language and the use of an ontology (defined using SysML) to capture the domain-specific language.

This MBSE ontology captures all of the key concepts associated with MBSE, defines them and, very importantly, defines the relationships between the concepts. This MBSE ontology, derived from over 40 different best-practice models including standards, guidelines and techniques, is built up during this part of the course.

MBSE Topics

During this module a number of the concepts introduced in the previous MBSE Concepts module are discussed in more detail. The topics covered are:

  • Systems and Interfaces
  • Structures and Decomposition
  • Processes and Life Cycles
  • Frameworks

Implementing MBSE

This section of the course addresses the question of how to implement MBSE into your business. This will cover how to sell MBSE to different stakeholders within the business, as people in different roles will see different benefits of MBSE. This is an essential part of making the business case for MBSE.

Once the business case has been made, it is then possible to look at the three crucial enablers for MBSE which are people, process and tools. By ‘people’ here, we mean competent people with the right skills for their role. By ‘process’ we mean the underlying MBSE approach, including ontologies, frameworks and their associated process descriptions. By ‘tools’ here we mean the use of modelling tools, how to assess and select tools and to ensure that your approach drives the tool and not the other way around.

Alignment with UK-SPEC competence

A1, B: Apply appropriate theoretical and practical methods to the analysis and solution of engineering problems.

Similar events

This three-day course provides a comprehensive introduction to the MATLAB® technical computing environment. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modelling, and programming are explored throughout the course.

More Information

After an introduction revisiting the key concepts of MBSE, this two-day course provides an introduction to architecture frameworks (AFs) and enabling patterns, giving delegates a model-based toolkit, the Framework for Architecture Frameworks (FAF), which can be used to aid in the definition of an AF or pattern. I

More Information

Python is an object oriented rapid development language deployed in many scenarios in the modern world. This Python Programming 1 course is designed to give delegates the knowledge to develop and maintain Python scripts using the current version (V3) of Python.

More Information

This course is an introduction to Python and its main data analysis libraries, Pandas and Matplotlib for delegates with some understanding of programming concepts. It is a two-part course, the first is an introduction to Python programming, the second introduces Python's data analysis tools. For the programming environment we use JupyterLab on the Anaconda platform. Anaconda is one of the most, if not the most, popular Data Science platforms.

More Information