Group 1 - The core viewpoint of the articles highlights the collaboration between Shandong Mobile Weihai Branch and Tianli Power Technology Co., Ltd. to implement AI large model technology for optimizing production scheduling and digital supply chain management, achieving over 80% accuracy in production scheduling and a 12-fold increase in efficiency [1][5][7] Group 2 - Tianli Power Technology Co., Ltd. faces management challenges due to a discrete production model, processing an average of 5,000 orders monthly and managing over 10,000 types of materials. The company has identified three major pain points: delayed order responses, passive equipment maintenance, and difficulties in quality traceability [3][5] - The project team has developed an "AI + APS + SCM" intelligent management system that integrates supply chain and production scheduling, reducing manual scheduling time from 6 hours to 30 minutes and decreasing defect rates by 20% [5][7] Group 3 - The introduction of a predictive maintenance mechanism enhances the robustness of production lines, allowing for proactive intervention before equipment failures occur, resulting in a 17% increase in equipment utilization and a 10% reduction in energy consumption per unit of output [7] - The Shandong Mobile Weihai Branch aims to continue enhancing digital transformation capabilities across various industries, contributing to the digitalization of the Weihai region and fostering high-quality development [7]
山东移动威海分公司:AI大模型赋能制造业跑出转型“加速度”
Qi Lu Wan Bao Wang·2025-04-30 10:50