基于大数据分析的电网物资供应链风险识别与监控研究  

Risk Identification and Monitoring Research of Power Grid Material Supply Chain Based on Big Data Analysis

作　　者：王骊 胡晓哲 

机构地区：[1]国网浙江省电力有限公司物资分公司,浙江 杭州

出　　处：《现代管理》2023年第5期634-641,共8页Modern Management

摘　　要：近年来随着电网物资供应链生态环境的复杂程度不断加深,面临的供应链风险不确定性增加。本文通过对电力企业现有供应链风险管理资源的梳理,基于大数据分析,对电网物资供应链风险分析进行模型搭建,对电力企业在风险分析领域大数据挖掘与应用进行补充,期望通过本文研究对进一步提升电网物资供应链大数据风险分析提供借鉴参考。In recent years, with the increasing complexity of the ecological environment of the power grid material supply chain, the uncertainty of supply chain risks has increased. This paper sorts out the existing supply chain risk management resources of power companies, based on big data analysis, builds a model for the risk analysis of power grid material supply chains, and supplements the big data mining and application of power companies in the field of risk analysis. It is expected that through this research, it can provide a reference for further improving the big data risk analysis of the power grid material supply chain.

关 键 词：供应链 风险识别 风险监测 大数据分析 

分 类 号：F27[经济管理—企业管理]