Journal of Computer Applications ›› 2012, Vol. 32 ›› Issue (09): 2534-2537.DOI: 10.3724/SP.J.1087.2012.02534

• Artificial intelligence • Previous Articles     Next Articles

Facility location in emergency relief with uncertain demand and logistics network

TAO Sha1,HU Zhi-hua1,2*   

  1. 1.Logistics Research Center,Shanghai Maritime University,Shanghai 201306,China;
    2.School of Economics and Management,Tongji University,Shanghai 200092,China
  • Received:2012-03-26 Revised:2012-05-17 Online:2012-09-01 Published:2012-09-01
  • Contact: Zhi-Hua HU

需求与物流网络不确定下的应急救援选址问题

陶莎1,胡志华1,2*   

  1. 1.上海海事大学 物流研究中心,上海 201306;
    2.同济大学 经济与管理学院,上海 200092
  • 通讯作者: 胡志华
  • 作者简介:陶莎(1989-),女,安徽芜湖人,硕士研究生,主要研究方向:物流运作优化; 胡志华(1977-),男,湖南长沙人,副教授,博士,主要研究方向:港航与物流管理、社会科学计算实验、计算智能。
  • 基金资助:

    国家自然科学基金资助项目(71101088);国家社会科学基金资助项目(11&ZD169);教育部博士点基金资助项目(20113121120002);教育部人文社科项目(10YJC630087);中国博士后科学基金资助项目(2011M500077);上海市自然科学基金资助项目(10ZR1413200);上海市教委科研创新项目(10YZ115)

Abstract: With regard to the uncertain demand and logistics network in emergency relief, the problem of locating emergency distribution centers was studied to cope with uncertain demand and logistics network. The stochastic programming models based on set covering model were built to minimize the cost. Two different approaches, expected-value model and stochastic simulation were employed to solve uncertainty of the model. By samples and simulation study, the optimal solution of locating emergency distribution centers was obtained. It is found that stochastic simulation is a superior approach compared with expected-value model.

Key words: emergency logistics, emergency management, logistics network, uncertainty, location problem

摘要: 针对应急物流中需求与物流网络的不确定性特征,对应急救援中应急需求和物流网络均不确定条件下的应急配送中心选址问题进行研究,以成本最小化为目标,建立基于集合覆盖的应急救援设施选址的随机规划模型,采用期望值法和随机模拟两种方法处理数学模型中的不确定性。通过算例与仿真研究,获得应急救援下的配送中心选址最优方案。结果表明,相对于传统的期望值方法处理随机参数,随机模拟方法具有较明显优势。

关键词: 应急物流, 应急管理, 物流网络, 不确定性, 选址问题

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