Optimize and improve product engineering with model-based design

The increasingly complex world of systems design and engineering is a challenge that is not going away any time soon, especially with the rise of electric and autonomous vehicles. Product modeling in all disciplines, including mechanical, electrical and electronics, and software, is necessary to reach ever-increasing profitability and production goals while facing head-on regulatory, safety, and security challenges. In this webinar, Siemens' Senior Vice President of Integrated Electrical Systems, Martin O'Brien, along with Design Domain Director, Nigel Hughes, and Product Manager, Jan Richter, discuss how a comprehensive digital twin of both product design and manufacturing can optimize and improve the final output.

Transformative shift to digital product design

Competition and market demand favor companies ready to innovate digitally and create products in an agile manner with great competence in delivering software functions. These top companies must build virtual vehicles to replace the physical assessment of their products. They must also run thousands of simulations to understand whether vehicles with increasing autonomy can survive on the road and in the air. Discover in this webinar how correctly executing a comprehensive digital twin enhances design reuse, provides a better understanding of inter-dependencies, and allows hands-off between domains streamlined with traceability across the flow supporting product certification.

Manage lifecycle of model-based E/E design

The electrical and electronic (E/E) system is a high-impact area where significant innovation is rife. Optimization improves performance, safety, and reliability while reducing weight and system costs. E/E systems development can be divided into three main areas— systems, software, and electrical. This webinar will diminish the boundaries at all levels that hold innovation in check while offering an E/E solution that generatively synthesizes the architecture allowing for rapid re-spins to optimize proposals for downstream value-added implementation.

Implement a comprehensive digital twin for product design and manufacturing

Digital twins of both product design and manufacturing are created ahead of the collection of real-life production feedback used to mirror and optimize both and improve the reality. Information gathered in usage, such as during vehicle performance in operation, also brings that data back upstream to bear on product design and manufacture optimization.

In this webinar, discover how to implement a complete digital twin to:

• Drive engineering productivity and innovation; enable ‘complexity’
• Find data more efficiently to improve design reuse, quality, and reliability
• Gain visibility into cross-domain dependencies to make better products
• Streamline the handoff from design to engineering and manufacturing
• Delivery traceability between domains to aid certification