White Paper: Software
Reduce Simulation Runtimes with Digital Engineering
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Digital engineering enables teams to use the right technologies in time and in context with clear traceability. See how digital engineering extends beyond simulation, enabling transformation by integrating multiphysics simulation with workflows like model-based system engineering (MBSE), simulation process and data management (SPDM), and AI-based optimizations. Download the e-book and discover why digital engineering is critical to future-proofing your business.
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Overview
The white paper on digital engineering outlines its critical role in future-proofing businesses by leveraging advanced tools, models, and data to enhance engineering processes. It emphasizes the importance of accurate data for simulation-driven engineering, enabling teams to identify design flaws early, explore design options comprehensively, and reduce costs. By utilizing a centralized source of truth with clear traceability, organizations can support safety and cybersecurity initiatives effectively.
Digital engineering fosters collaboration across various engineering domains, allowing teams to share insights and iterate on designs in real time. This integrated approach helps manage the increasing complexity of products and systems while shortening time-to-market cycles. The paper highlights the necessity of connecting engineering data through automated workflows, which facilitates efficient and consistent analysis of systems.
Key benefits of digital engineering include improved engineering efficiency, reduced development costs, and enhanced innovation. The integration of simulation tools and Model-Based Systems Engineering (MBSE) is presented as a means to gain visibility into the entire design process, ultimately leading to competitive products. The paper also discusses the adoption of open ecosystem technologies, which help organizations adapt to new technological paradigms and accelerate transformation.
Additionally, the concept of hybrid digital twins is introduced, which combines data and physics for real-time monitoring and predictive maintenance, optimizing performance across various scenarios. The paper concludes by encouraging organizations to explore digital engineering solutions to align strategic leaders, decision-makers, and engineers, thereby driving innovation and human advancement across industries.
In summary, the white paper advocates for the strategic adoption of digital engineering as a means to navigate complexity, enhance collaboration, and maintain a competitive edge in a rapidly changing technological landscape.