Summary of Key Findings
In August 2026, a research team focused on “AI + Advanced Manufacturing Industry Applications” visited Noahtek Electric in Shanghai (a subsidiary of Chint Group). Through on-site inspections of the intelligent factory and closed-door discussions, they gained insights into how AI enhances manufacturing processes by reducing costs and increasing efficiency. The team also analyzed common challenges faced by the industry in implementing AI in advanced manufacturing. As a result, both parties reached a consensus to collaborate with innovative technology companies to address these issues, providing valuable references for the upgrade of intelligent manufacturing in Shanghai.
Detailed Explanation
1. Noahtek’s AI Transformation: From Manual Production to Intelligent Factories
Noahtek is a high-end electrical brand under Chint Group, specializing in smart electrical products and new energy solutions, with operations in over 40 countries worldwide. It took more than a decade to transition from manual production to intelligent manufacturing, and in 2021, it established an integrated intelligent factory that earned recognition as a “National Smart Demonstration Factory” and a “Green Factory.”
Today, AI is utilized throughout the entire production process, including research and development, manufacturing, quality control, warehousing, and supply chain management. For example, digital simulation technology is used to test production lines in advance, reducing the need for physical trials and errors. Machine vision combined with AI algorithms enables more accurate and faster quality inspections, leading to a 45% increase in production efficiency, a halving of the R&D cycle time, and significant cost savings.
2. Chint Group’s AI Infrastructure: A Unified Computing Platform
Chint Group began systematically deploying AI in late 2024 and completed the construction of a centralized computing platform by 2025, which provides the necessary computational resources for all its business units, including Noahtek. This platform uses open-source models and cloud services, ensuring security and flexibility. It has enabled Noahtek to apply AI not only in production and R&D but also in areas such as supply chain management and new energy development, even leading to innovative business models (such as more intelligent customer service and product customization).
3. Three Major Barriers to the Adoption of AI in Advanced Manufacturing
During the discussions, companies highlighted common industry challenges:
- Insufficient and Insecure Computing Power: Building dedicated computing centers is costly and cumbersome, while using public clouds (like Alibaba Cloud or Tencent Cloud) raises concerns about the security of sensitive industrial data.
- Weak Data Foundations: The level of digitization varies across factories, with many historical data sets being missing or fragmented, hindering the training of AI models.
- Tailored Solutions for Specific Industries: The manufacturing industry is highly specialized, making it difficult to apply general AI models (like ChatGPT). Instead, custom models are required, but there is a shortage of professionals with expertise in both manufacturing and AI.
4. The Value of the Research: A Practical Guide for Shanghai’s Intelligent Manufacturing
This research was a crucial part of the “AI + Advanced Manufacturing Industry Applications” project. By observing the implementation at Noahtek and discussing industry trends, the team provided a comprehensive reference for the standardized and scaled-up development of intelligent manufacturing in Shanghai. This outcome serves as a replicable template for other companies and government agencies.
5. Future Cooperation: Joint Efforts to Overcome Challenges
Following the research, the team agreed to collaborate with Chint and Noahtek to share insights on specific AI applications and work together with innovative technology firms in related fields to address key issues such as computing power, data management, and talent development. This collaboration aims to promote the high-quality development of AI in Shanghai’s advanced manufacturing industry.
Overall, this analysis showcases successful cases while highlighting real challenges faced by the industry, offering a clear path forward for the practical application of AI in advanced manufacturing.