Innovation and collaborative, synchronized program management for new programs
As OEMs shift design responsibility to partners and lower-tier suppliers, they must be able to effectively use data generated by these partners as the basis for risk and hazard analysis. This ensures reliability of the highly complex cyber-physical systems used by the next generation of transportation systems. By enabling integrated “Design for Support”, our solution increases system reliability while decreasing the maintenance and logistics footprint—contributing directly to the bottom line.
As OEMs shift design responsibility to partners and lower-tier suppliers, they must be able to effectively use data generated by these partners as the basis for risk and hazard analysis. This ensures reliability of the highly complex cyber-physical systems used by the next generation of transportation systems. By enabling integrated “Design for Support”, our solution increases system reliability while decreasing the maintenance and logistics footprint—contributing directly to the bottom line.
The complex cyber-physical systems developed for automotive and transportation combine software, electrical-electronics, and mechanical components. These exponentially complex systems make it difficult to identify and manage potential risks and hazards.
OEMs need to manage risk and hazards from hundreds of cyber-physical systems on a vehicle, across organizational domains (chassis, body, powertrain, etc.), each with high cross-dependencies and multiple failure-modes. In addition, OEMs and major suppliers are shifting design responsibility to partners and lower-tier suppliers while they focus on systems engineering and integration. OEMs must be able to effectively use design and failure data generated by partners and suppliers as the basis for analyzing overall product reliability and diagnostic capabilities.
Our solution simplifies this complex process by automatically generating and mapping dependencies from product architectures and structures (maintained through PLM). This enables engineers to “design their products for support” rather than relying on experiences of support engineers and field feedback. The result is increased system reliability and decreased maintenance and logistics footprint, with predicable cost of ownership.
Explore the key areas of this solution.
Capture product architecture data with the product lifecycle, enabling you to have complete visibility into design decisions and connect all domains in the product lifecycle (software, electronics, mechanics, etc.)
By providing a common source of BOM information across your organization that is flexible and scalable, you can meet and exceed the market demand for more innovative and varied product offerings.
Bring together all the MCAD data in a single PDM environment to improve engineering productivity to find and edit parts and assemblies created in other tools and automate engineering change, validation and approval processes.
Allocate requirements to various downstream functions, features and product architectures while generating the reports, documentation and dashboards to manage the process. Create, view and edit requirements in MS Office.
Address system complexity and integration from early design phases.