嘉宾揭晓｜上汽大通谢宏伟：AI如何赋能汽车柔性制造升级？
Amid the wave of personalised customisation, how should automakers build data-driven smart factories?
Multiple authorities including the MIIT have issued the Implementation Plan for Digital Transformation of the Automotive Industry. It explicitly encourages car manufacturers to deploy flexible and reconfigurable production lines and expand AI applications in manufacturing scenarios such as quality control, equipment maintenance and intelligent production scheduling. As vehicle configurations for consumers keep diversifying, multi-variety, small-batch orders are becoming commonplace. Traditional rigid production lines struggle to keep pace with fast-evolving market demands. Many enterprises also face practical challenges during digitalisation, including data silos, barriers to AI deployment and imbalanced return on investment.
How to build the digital infrastructure step by step? How to identify viable paths for integrating AI into vehicle manufacturing? These practical insights will be shared at the forum of Hongqiao International Science and Technology Week 2026.
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Hongqiao International Science and Technology Week 2026 will take place at the National Exhibition and Convention Center (Shanghai) from November 20 to 22. As one of its six thematic session tracks, the Smart Industry Stage brings together industry practitioners in intelligent manufacturing, industrial digitalisation and AI. Keynotes and panel discussions will be held to explore cutting-edge technology deployment and innovation trends.
The track covers intelligent manufacturing, industrial digital transformation, AI adoption and industrial chain collaboration, creating a platform for dialogue and partnership among manufacturers, technology vendors and industry stakeholders.
At this session, XIE Hongwei, Head of Intelligent Manufacturing at SAIC MAXUS, SAIC Motor, will deliver the keynote speech From Digital Rollout to Data-Driven Operations: Integrating Flexible Automotive Manufacturing with Next-Generation AI. Drawing on factory transformation experience at SAIC MAXUS, he will share implementation pathways for automakers building data-driven plants, real-world AI manufacturing use cases and actionable strategies for smart factory development.
Keynote From Digital Rollout to Data-Driven Operations: Integrating Flexible Automotive Manufacturing with Next-Generation AI
Demand for multi-variety, small-batch customised vehicles is surging, posing major challenges to traditional manufacturing models. This talk, rooted in SAIC MAXUS’s in-field implementation, outlines the evolution journey for automakers from basic digitalisation to fully data-driven factories. It outlines key considerations for retrofitting flexible production lines and building end-to-end data platforms, with a focus on engineered deployment cases of next-gen AI for production quality prediction, equipment maintenance, production scheduling optimisation and other manufacturing scenarios. It examines pain points, technical limits and implementation strategies when combining AI and flexible manufacturing, shares practical know-how on data governance and organisational collaboration, and explores future-oriented smart factory blueprints, offering replicable real-world references for the digital and intelligent transformation of the automotive sector.
Speech Date: November 20, 2026 Stage: Smart Industry
Speaker Bio
Xie Hongwei SAIC Motor Head of Intelligent Manufacturing, SAIC MAXUS
Xie Hongwei has over ten years of experience in automotive digitalisation and intelligent manufacturing. He focuses on digital transformation for vehicle assembly plants, data platform development and the implementation of flexible manufacturing systems. He is proficient in automotive quality frameworks including IATF16949 and VDA. His professional credentials include Certified Information Systems Project Manager, Senior Supply Chain Manager, Six Sigma Black Belt and VDA 6.3 Third-Party Auditor. He also serves as an industry mentor for universities and a member of the National Logistics Standardisation Technical Committee.
He leads the development of an end-to-end data-driven system for automotive manufacturing. His team delivers flexible production line retrofits and industrial AI deployments, interconnecting data pipelines across R&D, production and supply chains. These initiatives help automakers cut costs, improve efficiency and enable fast customised production. He has long researched the engineering application of next-generation AI in vehicle manufacturing. He has shared practical insights on automotive digital transformation at numerous industry summits, and works to identify viable pathways for deep integration between AI and flexible automotive manufacturing.
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Hongqiao Tech Week
⏰ Nov 20–22, 2026
📍 National Exhibition and Convention Center (Shanghai)）
