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电力大数据:2018,21(9):-
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基于大数据的电网设备供应链溯源管理评价研究
郭伟,冯曙明,汪伦,王大淼
(国网江苏省电力有限公司,江苏电力信息技术有限公司,国网江苏省电力有限公司,国网江苏省电力有限公司)
Research on Traceability Management Evaluation of Power Grid Equipment Supply Chain Based on Big Data
GuoWei,Feng Shuming,Wang Lun and wangdamiao
(State Grid Jiangsu electric power co,LTD,Jiangsu electric power information technology co,LTD,State Grid Jiangsu electric power co,LTD,State Grid Jiangsu electric power co,LTD)
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投稿时间:2018-06-25    修订日期:2018-07-23
中文摘要: 为了加强电网设备质量源头治理,解决设备质量可追溯性问题,实现贯穿设备全寿命周期的全程质量管控。本文从大数据理念出发,首先建立了基于大数据的电网设备供应链溯源管理评价框架模型,指明了电网设备供应链溯源管理评价的技术路线,其次设计采用网络爬虫技术对散落的海量数据进行爬取和处理,从而提取电力设备供应商的信息,然后构建了包含5个一级指标、8个二级指标和两个维度的三级指标的电力物资供应商评价指标体系,分析了指标间的相互关系,最后对如何合理配指标权重进行了探索,对主观赋权法、客观赋权法和模糊综合评价三种权重确定方法进行了对比分析,从而搭建了具有追溯性的电网设备供应链溯源管理评价模型,为电网企业进行供应商的评价优化提供借鉴。
Abstract:In order to strengthen the source control of power grid equipment quality, solve the problem of equipment quality traceability, and achieve the whole quality control throughout the whole life cycle of equipment. Starting from the idea of big data, this paper first sets up a framework model for the evaluation of supply chain traceability management of power grid equipment based on big data, and points out the technical route of the traceability management evaluation of the supply chain of power grid equipment. Secondly, the network crawler technology is used to crawl and process the scattered mass data so as to extract information from power equipment suppliers, the evaluation index system of power supplies supplier is constructed with 5 first grade index, 8 two level index and two dimension index, and the relationship between the indexes is analyzed. Finally, how to reasonably match the index weight is explored, The three weight determination methods such as the subjective right method, objective empowerment method and fuzzy comprehensive evaluation are compared and analyzed, thus the traceability management evaluation model of power grid equipment supply chain is built, which can provide reference for the supplier evaluation and optimization of the power grid enterprises.
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