摘要
Abstract
The traditional supply chain management model,especially in material procurement,warehousing and parts management,is often difficult to adapt to the fast-changing market environment,resulting in inventory backlogs,untimely supply of materials,waste of storage space and other problems,which further affects the overall operational efficiency and competitiveness of enterprises.This paper proposes a supply chain management method and optimization measures based on big data,aiming at solving the pain points of manufacturing enterprises in the areas of parts management,warehousing management,and information transfer.The introduction of big data technology makes warehousing management and material scheduling more intelligent and refined,which can effectively improve the overall efficiency of production and supply chain,reduce costs,and enhance the adaptability of enterprises in the complex market environment.关键词
大数据技术/供应链管理/优化策略Key words
big data technology/supply chain management/optimization strategy分类
信息技术与安全科学
