电力物资供应商履约风险预警评价模型及研究  

An Early Warning Evaluation Model and Research on the Performance Risk of Electric Power Material Suppliers

作　　者：钟富力 钟上升 韦沣乘 李仕涛 莫洲 梁思欣 ZHAONG Fuli;ZHONG Shangsheng;WEI Fengcheng;LI Shitao;MO Zhou;LIANG Sixin(Guangxi Power Grid Materials Co.,Ltd.,Nanning 530001,China;Guangxi Power Grid Co.,Ltd.,Nanning 530001,China;Sichuang Zhihui(Guangzhou)Technology Co.,Ltd.,Guangzhou 510600,China)

机构地区：[1]广西电网物资有限责任公司,广西南宁530001 [2]广西电网有限责任公司,广西南宁530001 [3]思创智汇(广州)科技有限公司,广东广州510600

出　　处：《微型电脑应用》2023年第1期80-83,共4页Microcomputer Applications

摘　　要：针对电力物资供应链中存在的风险,提出了电力物资供应商履约风险预警评价模型,设计了电力物资供应商履约风险模型,采用ERP系统,利用WBS-RBS风险识别技术,实现对电力物资供应商履约风险的识别,然后利用层次分析法,对识别出的风险进行等级分析;利用风险评估LECC方法,对履约风险进行评估。还研究了基于ACO-SVM算法的电力物资供应商履约风险预警,对风险进行分级定级。实验表明,本研究系统对电力物资供应商履约风险预警的预警效果高达92%。Aiming at the risks in the power material supply chain, this paper proposes an early warning evaluation model for the performance risk of power material suppliers, and designs a performance risk model for power material suppliers. The ERP system is used and the WBS-RBS risk identification technology is used to realize the supply of power materials. The contract performance risk is identified, and then the analytic hierarchy process is used to analyze the level of the identified risk;the risk assessment LECC method is used to evaluate the performance risk. It also studied the early warning of the performance risk of power material suppliers based on the ACO-SVM algorithm, and classified the risks. Experiments show that the early warning effect of this research system on the performance risk early warning of power material suppliers is as high as 92%.

关 键 词：电力物资 履约风险预警 ACO-SVM算法 风险评估 

分 类 号：F402[经济管理—产业经济]