The increasing number of systems and intersections with software renders traditional MBSE methods obsolete. An agile approach to systems engineering provides an iterative, adaptive process across various engineering domains while generating continuous connectivity and visibility into manufacturing feasibility up front. The complexity of today’s software-driven products demand that we rethink systems engineering.
The Siemens-IBM partnership provides users with an open ecosystem across both companies’ portfolios. Engineers can connect and collaborate across Teamcenter, Polarion, Capital, Rhapsody and other adjacent software solutions. Through the Siemens-IBM partnership, users gain seamless solutions for systems engineering paired with software development — two facets vital to driving innovation.
It’s time to rethink systems engineering: By aligning with strategic business objectives, you can manage business viability, reducing risk earlier. An agile approach emphasizes data-driven decision-making, concept feasibility, iterative design and continuous integration optimization.
Begin systems engineering efforts with strategic business intent. Align product definition and program planning to synchronize system designs with targeted use, business viability and cost-effective manufacturability.
Develop systems in the context of the whole product. Integrate system, product and program definitions; system processes and data models at the earliest stage. Leverage next-level connectivity and traceability. Continually improve development with seamless, multi-domain interoperability.
Accelerate innovation through iterative validation and agile, real-time collaboration across all disciplines, domains and stakeholders, including suppliers. Make real-time updates and engagements possible by leveraging digital continuity and access control.
Utilize continuous simulation early and often to validate systems assumptions and cross-domain feasibility — in the context of your product’s impact. Use data to optimize cross-domain systems performance and continuously manage complexity to identify and mitigate risks sooner.
For today’s smart, software-defined products, systems engineering must expand beyond simple modeling and system isolation. It must be agile, holistic and transparent. Early visibility into each stage of the product lifecycle is vital to collaboration.
Only 40% of R&D leaders who view software as a major disruptor feel prepared to make the necessary operational shifts. (McKinsey & Co.)
Through different aircraft generations, from the A310 to the A350 XWB, complexity has increased with a factor of 100 to 1000. (Airbus)
From aerospace to automotive, the Siemens Xcelerator portfolio offers cross-industry solutions. Our advanced systems engineering capabilities include high interoperability enabled by SysML v2, generative AI and agile methodologies. Learn more by exploring each section below.
Airbus uses MBSE to develop the next-generation A350 XWB, an innovative airplane that meets future market needs: efficiency, comfort and environmental envelope.
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