基于BI的现代智慧供应链可视化系统设计研究

Research on Design of Modern Intelligent Supply Chain Visualization System Based on BI

摘要: 为应对传统电力物资供应链管理模式存在的“信息孤岛”、业务响应滞后及过度依赖人工经验等痛点，本文基于商业智能(BI)技术，设计并研究了一套现代智慧供应链可视化系统，并重点提出了由数据采集层、数据处理层和业务服务层构成的系统总体架构，详细论述数据治理流程。核心贡献在于设计了电商异常选购、虚假出入库、应招未招三大风险监测模型，通过多维度规则实现对供应链关键环节的自动化、智能化监督。应用效果表明，该系统能显著提升风险识别效率、增强业务合规性并为管理决策提供有力支持，为同类企业的供应链数字化转型提供了可借鉴的路径。

Abstract: To address the pain points in traditional electric power material supply chain management—such as “information silos”, delayed operational responses, and excessive reliance on manual experience—this paper designs and develops a modern intelligent supply chain visualization system based on Business Intelligence (BI) technology. The study emphasizes a three-tier system architecture, comprising the data acquisition layer, data processing layer, and business service layer, and elaborates on the data governance process. The core contribution lies in the design of three risk monitoring models: abnormal e-commerce procurement, false inbound/outbound operations, and avoidance of mandatory bidding. By implementing multi-dimensional rules, these models enable automated and intelligent supervision of critical supply chain links. Application results demonstrate that the system significantly enhances risk identification efficiency, strengthens operational compliance, and provides robust support for management decision-making, offering a valuable reference for the digital transformation of supply chains in similar enterprises.