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How does Model-Based Systems Engineering (MBSE) simplify product complexity?

Using a standard language simplifies engineering complexities between mechanical, electrical, software, and other components.

thyssenkrupp Marine Systems and Lockheed Martin manage product complexity
Learn how these engineering-driven manufacturers solve difficult problems across domains to successfully design and build products using Model-Based Systems Engineering.
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Systems of Systems Approach for Product Development Case Study

Engineering-driven manufacturers solve difficult problems across domains to successfully design and build systems of systems using Model-Based Systems Engineering (MBSE). 

Gather insight from engineers at aerospace and defense company, Lockheed Martin and shipbuilder, ThyssenKrupp Marine Systems. Learn the benefits of No Magic as part of their MBSE implementations. 

Systems of Systems Approach for Product Development

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A Systems of Systems Approach for Product Development

Companies like aerospace and defense company Lockheed Martin and shipbuilder thyssenkrupp Marine Systems each use Model-Based Systems Engineering to manage and simplify product complexity in development. Read the implementation stories in a new white paper by journalist Tony Velocci.  The paper reveals the many benefits of MBSE including how a ‘systems of systems' approach simplifies engineering complexities between mechanical, electrical, software, and other components using a standard language. One standard language simplifies problem definition and agreement on a solution(s).

Unifying Systems Modeling Language

Using a modeling language that unifies multiple [software] languages is essential. The common language employed by No Magic* users, Systems Modeling Language, known as SysML, allows all project stakeholders to share systems information. By offering a more complete representation of systems, SysML helps reduce errors and ambiguities during systems development processes. (*No Magic was acquired by Dassault Systèmes in 2018)

“No Magic cuts through the complexity of sharing information among engineering teams from the start. As a result, the end product we want to build is likely to be better designed, with better outcomes and fewer surprises at later stages of the project. That saves time and money.” 

Piotr MALECKI
Systems Engineer, thyssenkrupp Marine Systems
MBSE Implementation Best Practices
Model-Based Systems Engineering consultants share the critical components for success in a company’s MBSE implementation journey.
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Key MBSE Implementation Considerations

Whether improving an existing practice or applying MBSE to a new program, the first step involves reviewing your current engineering environment to define gaps or known shortcomings. Interested in learning more? Read the SMS ThinkTank white paper, “Simplifying Model-Based Engineering - an Implementation Journey.”

CATIA Model-Based Systems Engineering Demonstration
Apply a systems thinking approach using Dassault Systèmes Cyber Systems solutions. Watch the 7 minute video.
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A Demonstration of MBSE in Action

The Dassault Systèmes portfolio of Cyber Systems solutions for MBSE simplifies the complexity of product development and managing the product over its lifecycle. Watch the video demonstration featuring the development of a new European automobile safety feature highlighting the 3DEXPERIENCE platform for MBSE and CATIA Magic.

For more demonstrations and information about the full portfolio, visit the CATIA trends page for Systems Engineering.

Shorter Product Development Cycles
The 3DEXPERIENCE platform for MBSE simplifies complexity and improves development time
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Shorter Product Development Cycles

On-Time Product Launches with Model-Based Systems Engineering

How do you improve your product development processes? Read this ebook for ways to improve complex systems development, "Model-Based Systems Engineering: the Key to On-Time Product Launches."

(Hint: Integration is not the answer.)

What if the entire team could collaborate using one 3D model as you develop your product?  Learn the benefits of using industry-leading engineering and simulation software with a platform approach. With this approach leading companies their products in a virtual environment to verify fit, form, and function to eliminate errors early in the development cycle.

Discover two case studies:

  • Bosch Car Multimedia
  • Industrial equipment manufacturer CLAAS
Shorter Product Development Cycles > Asset Image > Dassault Systèmes

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