Why is there a mass migration towards Model Based System Engineering?

As manufacturers look for innovative ways to reduce costs, increase quality and efficiency, the need to adopt digital models to support design and development is increasingly being felt. Digital models have been common in engineering since the late 1960s but model-based engineering is now taking center-stage as it goes beyond the use of disparate models.

Let's look at some of the ground realities of today's manufacturing to understand why there's a mass migration towards Model Based System Engineering (MBSE).



Today's manufacturers face new levels of complexity that makes product and design development even more challenging than ever before. Complex systems of mechanical components, electronics, and software are more often than not, operating in silos and the need of the hour is to get them to work together seamlessly. Having them digitized is turning out to be the most effective solution yet.

Model-based Systems Engineering forms a means to achieve integration between different functions and areas of the manufacturing process. It provides for mechanisms to drive engineering depth without increasing costs and the end output sees improved quality with lesser defects. But the largest advantage that MBSE gives manufacturers is that it helps in decision making. As more data gets integrated into one system, the model tends to act as a one-stop, data-rich environment that enables quick decision making and arms them with the ability to act on solid data points.

Here are some examples of how MBSE drives efficiency:

aerospace engineering design  Model-based Engineering moves the record of authority from documents to digital models including M-CAD, ECAD, SysML and UML to be managed in one single environment that can be accessed by multiple processes and subsystems.
aerospace engineering design  Engineering teams are able to readily understand design change impacts, communicate design intent and analyze the performance of a system design before it is built.
aerospace engineering design  Data-centric specifications enable automation and optimization, allowing engineers to focus on value-added tasks and ensure that the right approach is taken every single time.
aerospace engineering design  With integrated analytics, tied to a model-centric technical baseline, there is a better understanding of all the systems and subsystems involved.
aerospace engineering design  An integrated end-to-end modeling environment enables the manufacturer to understand all the items that could impact a design and determine resolutions before a bolt is lifted on the factory floor.

To successfully manage MBSE, manufacturers are in need of systems engineering practices and experts who can help them make the transition. They need partners that are able to handle all the needs of MBSE not only from the technology point but also from the change management standpoint. Having a partner that has a strong engineering and manufacturing DNA is a crucial part of a successful MBSE adoption and today, more and more manufacturers are realizing its importance.


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