从车间到供应链，谁在让工业大模型真正落地？【502线上同行】

Core Viewpoint - The article emphasizes that industrial large models are becoming a key driving force for digitalization in the manufacturing industry, transitioning from algorithm innovation to scenario creation [6]. Group 1: Industrial Applications - The article highlights the most advanced industrial intelligence practices, showcasing real-world experiences from "lighthouse factories" and embodied intelligent robots, covering the entire application chain from workshop scheduling to supply chain collaboration [8]. - It discusses the application of AI in manufacturing, focusing on the return on investment (ROI) and ecological collaboration, bringing together perspectives from technology experts, industry leaders, and investment capital [9]. Group 2: Event Agenda - The agenda includes a theme sharing session where experts will discuss how embodied intelligent robots can evolve from specialized to general-purpose through large models, focusing on human-machine collaboration and smart assembly line practices [11]. - Another session will feature Midea Group sharing its experiences in AI scheduling, inventory forecasting, and supplier collaboration, illustrating how large models can achieve a closed-loop supply chain from single-point optimization [12]. - A roundtable discussion will address the critical points and future of large models in manufacturing, including how to transition models from laboratories to workshops and how to quantify ROI [14][15]. Group 3: Key Insights and Participants - The event aims to provide insights into the landing routes and future evolution of industrial large models over the next five years, offering real case studies from production workshops to supply chains [16]. - Participants include executives from manufacturing companies, AI technology firms, industrial software and automation solution providers, and investment institution researchers, indicating a diverse audience focused on industrial AI [17].