中国电力 ›› 2017, Vol. 50 ›› Issue (6): 69-74.DOI: 10.11930/j.issn.1004-9649.2017.06.069.06

• 电网 • 上一篇    下一篇

电网供应链大数据应用规划方法研究

商皓1, 雷明2, 马海超2, 刘俊杰1, 周若馨2   

  1. 1. 国家电网公司,北京 100031;
    2. 北京大学 光华管理学院,北京 100871
  • 收稿日期:2016-10-30 出版日期:2017-06-20 发布日期:2017-07-12
  • 作者简介:商皓(1972-),男,江苏常州人,工程师,从事供应链管理工作。E-mail: hao-shang@sgcc.com.cn
  • 基金资助:
    国家电网公司管理咨询资助项目(0711-15OTL02511025)

Study on Planning Approach for Big Data Applications in Power Grid Supply Chain

SHANG Hao1, LEI Ming2, MA Haichao2, LIU Junjie1, ZHOU Ruoxin2   

  1. 1. State Grid Corporation of China, Beijing 100031, China;
    2. Guanghua School of Management, Peking University, Beijing 100871, China
  • Received:2016-10-30 Online:2017-06-20 Published:2017-07-12
  • Supported by:
    ; This work is supported by the Management Consulting Project of SGCC (No. 0711-15OTL02511025).

摘要: 通过数据梳理诊断、业务需求调查、业务流程分析,分别在企业战略层面、管理层面、执行层面上设计出一系列大数据应用方案。在蓝图静态化分析的基础上,甄选典型业务场景,进行动态化的大数据应用场景分析。运用定性评估方法,从应用价值和数据可行性2个维度,将应用方案划分为4个优先级别。同时运用层次分析法对方案进行定量评价排序。基于定性评估和定量评价分析的结果,最终确立电网企业供应链大数据应用的阶段性规划,并确定所有大数据应用方案的优先级别和落实实施顺序。

关键词: 电网, 供应链, 大数据, 管理, 规划

Abstract: In this paper a planning approach for big data applications is studied in the grid supply chain. Through data cleaning, data diagnosing, business requirement survey and business process analysis, a series of big data applications are designed on the strategy level, management level and operation level respectively. Then based on the static analysis of the blueprint, typical business scenarios are selected to present dynamic analysis. By using qualitative assessment methods, all applications are divided into four priority levels in the aspects of practical value and data feasibility. Meanwhile, we utilize the analytic hierarchy process to perform quantitative evaluation. Based on both qualitative and quantitative evaluation results, phases of the plan and the sequence of implementation are established for big data applications.

Key words: power grid, supply chain, big data, management, plan

中图分类号: