随着人工智能技术的发展，智能算法在供应链优化中的应用日益广泛。从原材料采购到最终产品的交付，智能算法能够帮助企业实现成本的显著降低和效率的大幅提升。例如，通过规划求解算法，企业的生产计划时间可以从原先的2天缩短至2小时，同时实现供应链成本优化5%-10%。此外，多级库存算法能够帮助企业优化库存配置，降低成本并提升整体供应链效率。尽管目前尚不存在完美的算法能够解决所有供应链问题，但通过将不同算法的能力有机整合，企业能够构建一个智能化供应链管理系统，实现决策效率的提升和自我优化的供应链系统。在ArchSummit全球架构师峰会上，顺丰科技智慧供应链产品负责人苏冠通过实际案例展示了智能算法在供应链优化中的应用，并探讨了如何通过算法整合和应用提升供应链的整体表现。同时，InfoQ将于8月18-19日举办的AICon上海站，将聚焦大模型训练与推理、AI Agent、RAG技术、多模态等前沿议题，汇聚AI和大数据模型在各个领域的落地场景与最佳实践。
英语如下：
Title: “Smart Algorithms Empower Supply Chain: An Efficiency Revolution from Production Scheduling to Inventory Management”
Keywords: Algorithm Optimization, Supply Chain, Intelligent Management
Content:
As artificial intelligence technology advances, the application of smart algorithms in supply chain optimization is becoming increasingly widespread. From raw material procurement to the delivery of final products, smart algorithms can help businesses achieve significant cost reductions and substantial efficiency improvements. For instance, by using planning and solving algorithms, the production planning time for companies can be shortened from two days to two hours, while optimizing the cost of the supply chain by 5%-10%. Additionally, multi-level inventory algorithms can assist businesses in optimizing inventory allocation, reducing costs, and enhancing the overall efficiency of the supply chain. Although there is no perfect algorithm that can solve all supply chain issues at present, by organically integrating the capabilities of various algorithms, businesses can build an intelligent supply chain management system that enhances decision-making efficiency and self-optimizing supply chain systems. At the ArchSummit Global Architect Summit, Su Guan, the head of the smart supply chain products at Shunfeng Technology, demonstrated the application of smart algorithms in supply chain optimization through real-world cases and discussed how algorithm integration and application can improve the overall performance of the supply chain. Additionally, InfoQ’s AICon Shanghai, to be held on August 18-19, will focus on cutting-edge topics such as large model training and inference, AI Agents, RAG technology, multimodal, and more, bringing together the practical applications and best practices of AI and big data models across various industries.
【来源】https://mp.weixin.qq.com/s/OAsoaTDrNsGKuCc3zLjyvA
Views: 2