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MBSE is a model-based systems engineering approach that uses models to represent, analyze and design both simple and complex systems.

The MBSE practice, although still little-known in some industries, is currently revolutionizing the way we design and develop systems and products of all sizes. Imagine a world in which every element of a system is connected, where errors are detected well in advance of the process and collaboration between teams is streamlined. That's the promise of MBSE!

‍But what exactly is MBSE, and how can it help you optimize your projects?

‍Get ready to go behind the scenes with Matthieu SAUVAGE of this engineering approach, which could well become an indispensable and valuable new ally in your projects.

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What is Model-based Systems Engineering (MBSE)?

MBSE is like a treasure map that guides you through the complexity of a project or product. Instead of navigating blindly, you have a clear and precise overview of your destination.

Model-Based Systems Engineering is based on three main ideas:

Modeling:

At the heart of MBSE, modeling is the art of representing a system in the form of diagrams and models. It is a complete digital model of the system. Every element of the system is represented, and the relationships between them are explicitly defined.

The holistic approach:

Model-Based Systems Engineering considers the whole system, not just its individual components. It's a bit like looking at a living organism: each organ has a specific function, but it's the interaction between all the organs that enables the body to function.

Collaboration:

MBSE fosters close collaboration between all the different teams involved in the project. By sharing a common vision of the system, teams can work more efficiently and reduce the risk of misunderstandings.

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The benefits of Model-Based Systems Engineering, and why implement it?

The benefits are far-reaching and varied:

Improve collaboration:

Using a common language and shared models enables teams to communicate better and avoid misunderstandings. Imagine a symphony orchestra: thanks to the score, all the musicians know which note to play at the right moment.

Reduce risk:

The simplified, yet comprehensive vision of the system enables potential problems to be identified at an early stage. It's like anticipating obstacles and slowdowns on the road before setting off on a journey.

Measure and accelerate product maturity:

By ensuring that all the elements of the system are coherent and work together, MBSE helps guarantee product maturity. It's like building a house on a solid foundation.

Optimize costs:

By avoiding backtracking and reducing errors, MBSE ensures substantial savings. It's like investing in a tool to save time and money.

Accelerate development:

By efficiently planning and coordinating activities, Model-Based Systems Engineering reduces development times. It's the GPS that helps you reach your goals faster.

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The tools of Model-Based Systems Engineering  

Now that we've laid the foundations of MBSE, let's turn our attention to the tools used to implement this approach. Think of MBSE as a universal language for talking about complex systems. The tools, on the other hand, are the dictionaries and grammars that help us translate our ideas into concrete models.    

The main MBSE modeling languages:    

The SysML modeling language:   

SysML is the most widely used system modeling language today. It offers great flexibility for representing all aspects of a system, from structure to behavior to requirements. It's like a Swiss army knife for systems engineers.    

The UML Unified Modeling Language:

Originally designed for software modeling, UML can also be used to represent larger systems. It is particularly well suited to modeling the software aspects of a system.

Other MBSE languages:

There are other modeling languages, such as AADL (Architecture Analysis & Design Language) or Modelica, which are more specialized in certain fields.

MBSE modeling software:

Open-source tools:

Tools such as Cameo Systems Modeler, Papyrus or Capella offer full SysML modeling functionality and are often used in open-source or budget projects.

Commercial tools:

Software such as Rhapsody, Enterprise Architect or MagicDraw offer advanced functionality and integration with other enterprise tools.  

Choosing the right tools :

The choice of tool depends on several factors:

• System complexity: For a simple system, an open-source tool may suffice. For a complex system, a commercial tool with advanced features may be more appropriate.  
• Company needs: The tool must integrate easily into the existing environment and meet the company's specific requirements.   
• Budget: Commercial tools are generally pricier than open-source tools.

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How do you choose the right tool for a MBSE project?

It's a bit like picking a car: you have to consider your needs, your budget and your personal preferences. By evaluating the different tools available, you can find the one that best suits your project.

Our experts can help you make the appropriate choices and train you in the use of these tools.

To find out more, contact us here.

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Model-Based Systems Engineering (MBSE) is much more than just an approach; it's a revolution in systems design and management. By providing a clear overview, facilitating collaboration and reducing risk, MBSE is an essential ally for modern companies.

Adopting MBSE means investing in a structured, efficient approach to improving quality, optimizing costs and accelerating development times.

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To learn more about System Engineering, here is our latest T&S Tech Conference presented by Matthieu SAUVAGE that goes much deeper into this engineering practice:

In our next article, we'll look at how to implement MBSE in your company. You'll discover the key steps, best practices and pitfalls to avoid and integrate this methodological approach successfully.

Get ready to transform the way you work and take full advantage of the benefits of MBSE.

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