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.
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.
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.
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.
Only 40% of R&D leaders who view software as a major disruptor feel prepared to make the necessary operational shifts.
Through different aircraft generations, from the A310 to the A350 XWB, complexity has increased with a factor of 100 to 1000.






Systems engineering is an approach that uses digital models, rather than traditional documents, as the primary way to design and manage complex systems. Instead of relying on separate documents and spreadsheets, systems engineering creates an integrated digital model that shows how all parts of a system work together. This approach has helped engineers better understand system relationships, catch problems early on and make changes more efficiently.
Systems engineering is significantly disconnected from the product development process, making it hard to verify critical changes happening at the domain level. A new, agile approach to systems engineering is therefore needed to drive a holistic, iterative development process across domain engineering that adds robustness and supports rapid innovation. An agile approach to systems engineering is very adaptive and can address system needs across multiple domains, all while accounting for manufacturing feasibility upfront.
Advanced machine engineering is shaping industry 4.0 by helping more businesses digitally transform. Technological tools that connect data, depict visualizations and deliver products faster are necessary for surviving in today’s competitive landscape.
A new, agile approach to systems engineering is a powerful enabler of digital transformation, providing organizations with a structured, visual approach to designing, developing and maintaining complex systems. Systems engineering breaks down silos, fosters cross-functional collaboration and supports data-driven decision-making: the pillars of a successful digital transformation. A new, agile approach to systems engineering helps companies become adaptable, empowering them to rapidly prototype, iterate and deploy new products and services.
Agile systems engineering may appear to be difficult to implement because the solutions involved have not been fully aligned to meet the need for continuous integration across multi-disciplinary teams, processes and tools. At the same time, achieving continuous integration isn’t the only consideration — the functionality and interoperability of the applications are also key.
In addition, shifting to an agile, iterative model-based mindset often requires a significant cultural shift as it necessitates cross-functional collaboration and alignment. Overcoming these challenges requires a well-planned, phased approach supported by strong leadership, change management and a commitment to building the necessary organizational capabilities.
Increasing regulations require companies to accelerate the digital transformation of their systems engineering processes. By leveraging digital continuity and iterative validation, companies are better equipped to handle complex product development. How? By simulating and optimizing systems before physical production, agile systems engineering processes can minimize the need for rework, lower material consumption and help produce products that are more energy-efficient and environmentally friendly from the start.
SysML v2 will help manufacturers rethink traditional approaches to systems engineering design. This new approach will establish alignment, integration and collaboration, along with an integrated digital thread, and simulations from the earliest design stages. Furthermore, it will make systems engineering an integral part of the product life cycle.
SysML v2 introduces:
As organizations increasingly recognize the strategic value of digitally transforming systems engineering, the synergy between SysML v2 and Teamcenter enables a seamless flow of data across the enterprise, further enhancing the collaborative and analytical power of SysML v2-based models.