Intelligent manufacturing is no longer a fake fabrication of gimmicks.

In the near future, BYD and Siemens are set to leverage advanced intelligent management strategies to elevate their manufacturing capabilities and establish a smart factory aligned with Industry 4.0 standards. Interestingly, Sany Heavy Industry, one of the first engineering machinery companies selected for China's 46 smart manufacturing pilot projects, has already completed its transformation into a smart factory and now serves as a model for China’s broader industrial modernization efforts. Intelligent manufacturing is no longer just a buzzword—it's becoming a reality that reshapes the entire production landscape. As traditional manufacturing faces stagnation, the push toward "intelligent" solutions has gained momentum. The emergence of concepts like "Industry 4.0," "Industrial Internet," and "Made in China 2025" has provided a clearer roadmap for this transformation, turning theoretical ideas into tangible progress. At its core, intelligent manufacturing is rooted in artificial intelligence. It encompasses both intelligent technologies and systems capable of self-learning, adapting, and making decisions based on real-time data. These systems continuously refine their knowledge base, collect environmental and internal information, and perform analysis to optimize performance and decision-making. Typically, intelligent manufacturing is structured across four key layers: application (solutions), execution (smart equipment), network (data collection and analysis), and perception (production data gathering). This interconnected framework spans various industries, including system integrators, smart devices, industrial databases, cloud computing, software platforms, and intelligent products. The ultimate goal is to create a flexible, data-driven production chain that seamlessly integrates with AI, big data, and cloud computing, revitalizing traditional manufacturing with new energy and innovation. With the rise of intelligent manufacturing, it has become a strategic focus for both developed and developing nations. While each country approaches the challenge differently, the shared objective is clear: to build an intelligent, efficient, and competitive manufacturing ecosystem. Germany emphasizes Cyber-Physical Systems (CPS) to drive automation, the U.S. focuses on breaking technological barriers through the Industrial Internet, and China aims to accelerate the integration of IT and manufacturing under "Made in China 2025." The growth of smart manufacturing is accelerating. At the 2023 China International Industrial Fair in Shanghai, KUKA introduced its next-generation KRAGILUS robots and integrated applications, enabling remote access and analytics via KUKAConnect. This allows users to monitor and improve productivity, quality, and flexibility through big data and cloud computing. As a global leader in industrial robotics, KUKA continues to shape the future of smart factories. China has also made significant strides in supporting smart manufacturing through policies such as the "Standardization and Quality Improvement Plan for the Equipment Manufacturing Industry." Advocating the "artisan spirit," these initiatives aim to enhance efficiency and quality while providing a strong institutional foundation for the industry’s evolution. For traditional manufacturers, smart systems, equipment, and products have become key areas of focus. Companies like CRRC are leading the way in rail transportation, integrating automation and digital systems to streamline production. In workshops, electric buses move through spray and assembly lines without human intervention, showcasing the power of smart technology. Robotic companies such as Shenyang Xinsong and Xinshida are competing in the smart equipment sector, while American firms like the US group have entered the market after acquiring German manufacturer KUKA. These moves reflect a growing global race to dominate the intelligent manufacturing space. Smart products like sensors, machine vision, and 3D printing are essential components of this transformation. Shenyang Xinsong, for instance, has developed advanced controllers that integrate sensor data and real-time processing, offering high performance and adaptability for industrial robots. As China continues to strengthen its manufacturing capabilities and learning agility, it is well-positioned to lead the global shift toward intelligent manufacturing. With a complete industrial system and increasing technical expertise, the country is playing a pivotal role in shaping the future of smart production.

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