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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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    大规模灾害中基于FCMwNC的医疗物资联合运送优化

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    论文类型:期刊论文

    发表时间:2022-06-29

    发表刊物:系统工程理论与实践

    期号:10

    页面范围:2675-2686

    ISSN号:1000-6788

    摘要:Due to the long distances between supply nodes and demand nodes or the cut off of the key roads to affected areas, it is difficult or impossible to quickly transport medical supplies to affected areas only by vehicles, so we focus on the intermodal transportation of medical supplies by helicopters and vehicles. To overcome the shortages of the common fuzzy c-means (FCM) for selecting emergency distribution points (EDCs) and partitioning medical aid points (MAPs), we consider the constraints of the number of MAPs in each partition to develop an improved FCM approach with number constraints (FCMwNC) for selecting EDCs and partitioning MAPs; then, we consider the helicopter flight time, the transit time at EDCs and the vehicle travel time to build an intermodal transportation optimization model of medical supplies, which could produce the intermodal transportation routes. According to numerical experiments, we observed the following findings: 1) The developed FCMwNC method could overcome the imbalance of the number of MAPs in the FCM partitioning, which thus effectively shortens the biggest waiting time among MAPs; 2) As the increase of the number of selected EDCs, the total intermodal transportation time, average waiting time and biggest waiting time have decreasing trends; 3) As the increase of the transit efficiency, the total intermodal transportation time, average waiting time and biggest waiting time would be shortened with smaller ranges. ©, 2015, Systems Engineering Society of China. All right reserved.

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