中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (6): 185-191.doi: 10.16265/j.cnki.issn1003-3033.2018.06.031

• 公共安全 • 上一篇    

多情景模式下应急资源精益配置模型与算法

冯, 春1 教授, 廖海燕**1, 田小强1, 张怡2 副教授   

  1. 1 西南交通大学 交通运输与物流学院,四川 成都 611756;
    2 西南交通大学 电气工程学院,四川 成都 611756
  • 收稿日期:2018-02-28 修回日期:2018-04-30 出版日期:2018-06-28 发布日期:2020-11-25
  • 通讯作者: **廖海燕(1990—),女,四川攀枝花人,博士研究生,研究方向为应急管理、智能优化算法。E-mail:liaohaiyan@my.swjtu.edu.cn。
  • 作者简介:冯春(1970—),男,四川巴中人,博士,教授,博士生导师,主要从事物流与供应链管理、人道物流、供应链扶贫等方面的研究。E-mail:ifengchun@swjtu.edu.cn。
  • 基金资助:
    国家社会科学基金资助 (12BGL053)。

Model and algorithm for lean principle based deploying emergency resources

FENG Chun1, LIAO Haiyan1, TIAN Xiaoqiang1, ZHANG Yi2   

  1. 1 School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China;
    2 School of Electrical Engineering,Southwest Jiaotong University,Chengdu Sichuan 611756,China
  • Received:2018-02-28 Revised:2018-04-30 Online:2018-06-28 Published:2020-11-25

摘要: 为提升综合救灾能力,利用情景建模法构建不同的灾害情景;在应急资源有限的约束条件下,以最大化应急救援社会价值为目标,并兼顾分配公平,建立应急资源精益配置模型,主要包括储备库选址与规模设置、不同灾害情景下的物资分配方案制定;利用改进差分进化算法求解模型,并通过数值案例对算法进行验证。结果表明:所建模型有助于实现有限应急资源的社会价值最大化,用改进的差分进化算法能够求得模型的最优解,为决策提供依据。

关键词: 应急资源配置, 精益原则, 公平性, 情景建模, 差分进化算法

Abstract: In order to improve the ability to cope with sudden natural disasters,and improve the efficiency of emergency response,scenario modeling method was used to construct different disaster scenarios,and a lean deploying model of emergency resources was built which was aimed at maximizing the social value of emergency rescue,considering distribution fairness and resources limitation.Main decisions included location and scale of facilities,allocation of emergency supplies in different scenarios.An improved differential evolution algorithm was worked out to solve the model and the algorithm was verified by a numerical example.The results show that the model can achieve the goal that maximizing social value of limited emergency resources,and the improved differential evolution algorithm can be used to obtain the optimal solution of the model and provide a basis for decision making.

Key words: emergency resources deployment, lean principle, fairness, scenario modeling, differential evolutionary algorithm

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