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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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    Assignment Optimization of Rescue Supplies under Unconventional Emergencies with Potential Demand

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    论文类型:期刊论文

    发表时间:2012-01-01

    发表刊物:ICIC Express Letters

    收录刊物:EI、Scopus

    卷号:6

    期号:1

    页面范围:295-300

    摘要:The uncertain demand from the devastated areas affected by unconventional emergencies is studied in the model building of emergency supplies' assignment planning. This study converts the uncertain demand caused by possible secondary or derivative disasters into the potential demand in the affected areas, thus making the uncertainty from the unconventional environment to be measurable demand to some extent through applying the probability programming. The degree of satisfaction and equity is introduced to measure the bounded rational behaviors of both the decision-maker and victims from the affected areas in the process of assigning emergency supplies. And a nonlinear mixed-integer model is formulated to solve the problem of the assignment planning in the context of multi-demand-point, multi-storage-depot with limited number of rescue supplies. This paper proposes an improved scatter search algorithm to solve the multi-objective model. Finally, a numerical case is provided to testify the proposed model. ? 2012 ISSN 1881-803X.