Convergent manufacturing combines multiple technologies including AI, robotics, IoT, and digital engineering into a flexible production system that can adapt to varying demands. This convergence of digital engineering and advanced manufacturing technologies will help strengthen U.S. industrial capabilities.
Adopting this integrated approach offers several advantages over traditional manufacturing methods, particularly in improving supply chain resilience. Unlike conventional models that rely on specialized suppliers for single functions, convergent manufacturing enables facilities to handle multiple products and processes, promoting greater adaptability and efficiency.
This manufacturing approach helps address current workforce challenges, enabling companies to optimize their operations with fewer resources while creating new job opportunities and developing essential skills among workers.
However, several obstacles to widespread adoption exist, including compatibility issues with legacy systems, scalability concerns, and substantial upfront capital requirements. Additionally, the industry faces challenges related to workforce training and resistance to new digital tools.
Despite these hurdles, embracing digital engineering and convergent manufacturing is essential for the U.S. industrial sector to maintain global competitiveness. The technology has already demonstrated success in various applications across automotive, aerospace, and defense sectors, showing potential for significant cost reductions and faster time-to-market for new products.