[1]周学鼎,郑星新.采用GERT算法的电力抢修车应急运输路径选择[J].华侨大学学报(自然科学版),2015,36(6):667-671.[doi:10.11830/ISSN.1000-5013.2015.06.0667]
　ZHOU Xueding,ZHENG Xingxin.Using GERT Algorithm for Emergency Transportation Path Selection of Electrical Repair Vehicle[J].Journal of Huaqiao University(Natural Science),2015,36(6):667-671.[doi:10.11830/ISSN.1000-5013.2015.06.0667]
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采用GERT算法的电力抢修车应急运输路径选择()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第36卷
期数:
2015年第6期
页码:
667-671
栏目:
出版日期:
2015-11-10

文章信息/Info

Title:
Using GERT Algorithm for Emergency Transportation Path Selection of Electrical Repair Vehicle
文章编号:
1000-5013(2015)06-0667-05
作者:
周学鼎;  郑星新
国家电网公司 福建古田供电有限公司, 福建 宁德 352200
Author(s):
ZHOU Xueding;  ZHENG Xingxin
Gutian Fujian Power Supply Company Limited, State Grid Corporation of China, Ningde 352200, China
关键词:
路径选择;  图形评审技术;  电力抢修车;  电力系统;  灾害
Keywords:
path selection;  graph evaluation and review technique;  electrical repair vehicle;  power system;  disaster
分类号:
TM732;TM743
DOI:
10.11830/ISSN.1000-5013.2015.06.0667
文献标志码:
A
摘要:
研究电力抢修车应急运输路径选择问题.根据图形评审技术(GERT)构建某突发灾害地区紧急转运配送过程的随机网络模型,对比电力抢修车到达不同灾区的成功配送概率、风险概率和紧急配送生命周期期望,从而得出模型的缺陷和改进方法.结果表明:该模型方法具有可行性和适用性.
Abstract:
In this paper, the research focus on the selection problem of electrical repair vehicle’s emergency transportation path. Based on the graph evaluation and review technique(GERT), the specific function for the probability of successful distribution, the probability of the risk and the expectations, and the variance of the emergency distribution life cycle are given, respectively. By developing a stochastic network model of a case study, this research compares the the probability of successful distribution, the probability of the risk and the expectations of the emergency distribution life cycle between the different disasters. The results show that the model is highly feasible and applicable.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-10-08
通信作者: 周学鼎(1970-),男,高级经济师,主要从事电网经营、规划、建设、电力服务管理的研究.E-mail:827137766@qq.com.
基金项目: 国家自然科学基金资助项目(41371205)
更新日期/Last Update: 2015-11-20