Master the V-Model with Aras
Manufacturers today have to develop products differently than they have in the past, as product complexity increases. Design teams need to take a systems-level approach to product development, collaborate early and often, and create a Digital Thread for traceability across the enterprise. A natural place to start is using PLM to connect disciplines and share data across the enterprise.
The Evolution of Systems Engineering
Product complexity has grown exponentially in the last few decades and shows no sign of slowing down. In this short video, Pawel Chadzynski, Sr. Director of Product Management at Aras, examines how this has impacted the evolution of Systems Engineering.
- System level product design (functional blocks, model based)
- System-based requirements management
- Management of multi-disciplinary deliverables for hardware and software development and maintenance
- Systems-based management of the evolving configuration of products and variants through the complete lifecycle
- Multi-disciplinary modular technical documentation
PLM Platform and System Models: Aras MBSE Capabilities and MagicDraw Integration
A PLM platform must manage all aspects of a product lifecycle—including System Models. Watch this presentation to learn about the considerable benefits of integrating the Aras PLM Platform with System Models and the key steps you should take.
- Supports the rapid development of complex systems-based products
- Provides a complete environment for multi-disciplinary collaboration
- Provides schedule visibility and enforces best-practice ways of working to simplify management
PLM and PDM capabilities are powered by Aras Applications which are available on either an Open or Subscription basis.
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Coordinate your requirements, system models and physical product definition better than you have in the past with this proof of concept integration providing you with an open, secure and sustainable architecture for better visibility, collaboration and traceability of your product through the system level.
There’s no denying it: developing smart, connected products is one of the top priorities of today’s executives. A wave of new technologies, ranging from the Internet of Things (IoT) to Artificial Intelligence (AI), has opened up a world of innovative features for modern products. Modern executives are busy analyzing how their companies can capitalize on the movement through differentiation or new business models.
This white paper examines how the complimentary approaches of Product Lifecycle Management (PLM) and Model-based Systems Engineering (MBSE) can facilitate the integration of engineering processes, tools, and data to improve productivity, quality, shorten cycle time, and reduce risk in the development process.