The aerospace and defense industry are undergoing amazing transformation with innovation in urban air mobility, zero emission aircraft, autonomous operations, hypersonics, new space startups and new approaches to defense programs. As companies seek to increase the performance, efficiency and sustainability of their products, they are adopting more electrical and electronic systems, and software enabled solutions. But this innovation comes with new challenges. Companies are under increasing pressure to improve their program execution as they seek to design, develop, and certify new products faster, ramp up their production rates while improving quality and providing world-class product support for their customers. They must accelerate new product development while mitigating the risks of innovative systems, and they need to ensure the safety of these complex products while addressing certification concerns of regulatory agencies.
As complexity of products and programs continue to increase, an enterprise solution for model-based systems engineering (MBSE) using a comprehensive digital thread is critical to optimizing product architecture. Companies then use requirements and the product architecture to drive design, test, certification, production, and product support processes to improve program execution across the product lifecycle. In this session, Dale Tutt, VP of Industry Strategy at Siemens Digital Industries Software will discuss how aerospace and defense companies must transform development processes and embrace digital technologies to compete in this dynamic and crowded marketplace. Dale will cover how a modern MBSE approach is critical for engineering teams to capture product development as a system-of-systems, including electronics, software, networks, electrical, and mechanical domains.
With such a perspective, aerospace manufacturers will drive innovation at the rapid pace demanded by the market today. These companies will enable their engineers to design and refine models of various aircraft systems while optimizing details across the product lifecycle. They will have transparency and traceability of all design decisions and verification results back to the original requirements, which will assist improved program management and impact analysis of changes. Finally, organizations throughout the supply chain will be able to connect these models together into a robust and comprehensive digital twin to help companies fly their products before they build it to minimize changes in test and verification.