大数据驱动下的供应商评价智能运营体系研究
Research on Intelligent Operation System for Supplier Evaluation Driven by Big Data

本文首先通过对国网公司对供应商评价相关业务现状进行梳理分析，设计供应商的大数据分析体系，以供应商相关数据以及物资相关数据为基础进行建模分析，实现从根本上减少供应商不良行为的出现概率，从招标采购、生产制造、物流供应、质量检测等环节控制供应商的相关风险，将物资管理风险中的供应商因素影响控制到最小，与此同时对物资全环节的供应商信息进行监控分析，进一步优化业务流程、产业结构，实现电力行业的良性发展。
This paper first designs a supplier’s big data analysis system by combing and analyzing the current situation of supplier evaluation related business of the State Grid Corporation of China. This article conducts modeling analysis based on supplier-related data and materials-related data to achieve a fundamental reduction in the probability of bad behavior of suppliers. Further, control the related risks of suppliers from the whole process of bidding and purchasing, manufacturing, logistics supply, quality inspection, etc., and minimize the influence of supplier factors in the risk of material management. At the same time, the supplier information of the whole link of materials is monitored and analyzed. Further, optimize business processes and industrial structure, and realize the healthy development of the power industry.