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    王旭坪

    • 教授     博士生导师   硕士生导师
    • 主要任职:Deputy Dean,School of Business,Dalian University of Technology
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:系统工程研究所
    • 学科:管理科学与工程
    • 电子邮箱:wxp@dlut.edu.cn

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    A Scenario-Based Approach for Dynamically Allocating Relief Supplies in Unconventional Disasters

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    论文类型:会议论文

    发表时间:2012-01-01

    收录刊物:CPCI-S

    页面范围:216-223

    关键字:Unconventional disasters; Relief supplies; Dynamic allocation; Relative similarity measurement; Scenario-based optimization

    摘要:Emergency decision-makers should dynamically allocate relief supplies according to the changing situations of affected areas. We develop a relief supplies dynamical allocation approach for unconventional disasters. The relative similarity is defined to measure the relief supplies allocation scenarios of affected areas, which can dynamically estimate the allocation proportions of relief supplies for affected areas in a given time interval, and then a scenario-based dynamic allocation optimization model is developed which aims at minimizing the total transportation time of relief supplies on the condition that all the supplies are dynamically allocated to affected area in accord with their changing scenarios. With the changes of scenarios including updates of latest disaster information, dynamic changes of demands in affected areas and arrivals of new relief supplies, the developed dynamic allocation optimization approach can timely produce new allocation schemes in the whole process of emergency response. An example is illustrated to show the feasibility and effectiveness of the developed approach.