模糊条件下应急物资配送选址-多模式运输问题

doi:10.16265/j.cnki.issn1003-3033.2017.07.030

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (7): 169-174.doi: 10.16265/j.cnki.issn1003-3033.2017.07.030

• 公共安全 • 上一篇

模糊条件下应急物资配送选址-多模式运输问题

宋英华^1,2,3 教授, 王莉芳^1,2,3, 杜丽敬^1,2,3 讲师, 方丹辉^**1,2,3 副教授, 王喆^1,2,3 讲师

1 武汉理工大学中国应急管理研究中心,湖北武汉 430070;
2 安全预警与应急联动技术湖北省协同创新中心,湖北武汉 430070;
3 武汉理工大学管理学院,湖北武汉 430070

收稿日期:2017-03-25 修回日期:2017-05-30 发布日期:2020-11-26
通讯作者: ^**方丹辉(1976—),女,湖北荆门人,博士,副教授,主要从事信息系统、安全情报等方面的研究。E-mail:2871926@qq.com。
作者简介:宋英华 (1962—),男,湖北武汉人,博士,教授,主要从事科研管理、应急管理、项目管理等方面的研究。E-mail:song6688c@163.com。
基金资助:
国家重点研发计划课题(2016YFC0802509); 国家社会科学基金青年项目资助(16CTQ022);湖北省自然科学基金资助(2016CFB467)。

Location-multimodal transportation problem for relief distribution in emergency logistics under fuzzy conditions

SONG Yinghua^1,2,3, WANG Lifang^1,2,3, DU Lijing^1,2,3, FANG Danhui^1,2,3, WANG Zhe^1,2,3

1 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;
2 Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan Hubei 430070, China;
3 School of Management, Wuhan University of Technology, Wuhan Hubei 430070, China

Received:2017-03-25 Revised:2017-05-30 Published:2020-11-26

摘要/Abstract

摘要： 为提高应急物资配送效率,充分利用现有交通工具,满足多主体的不同应急需求,基于应急物资的供需特点和受灾点物资需求紧迫程度的差异性,建立模糊条件下,多模式、多阶段、多目标的应急物资分配选址和多模式运输的集成优化模型。探究模糊模型和多目标的转化问题,给出去模糊化的策略和具体算法。并以湖北省2016年7月洪涝灾害为实例,验证模型和算法的有效性。结果表明:引入需求紧迫程度的优化模型,可用来依据受灾点的需求优先级来合理安排应急物资的调配工作;决策者可通过对运输时间、应急成本和需求满足率等3个目标的动态赋权,实现应急设施的动态选址和应急物资的优化调度。

关键词: 选址分配, 多目标优化, 多模式运输, 模糊需求, 需求紧迫程度

Abstract: In order to improve efficiency of emergency supplies distribution, make full use of existing vehicles and meet different requirements of multi-agents, based on the characteristics of supply and demand of emergency materials and relative urgency in relief demand, a multi-modal, multi-period and multi-objective integrated optimization model was built for emergency material location-multimodal transportation under fuzzy condition. The defuzzification strategies and specific algorithm were given to transform fuzzy model and "multi-objective". And then through an empirical analysis of Hubei Province flood disaster in July 2016 the model and algorithm were verified. The results show that the model that introduces the demand urgency can be used to allocate emergency supplies according to priority of relief demand, and dynamically select site and allocate emergency supplies to meet different decision maker's preference for the three objectives.

Key words: location-allocation, multi-objective optimization, multimodal transportation, fuzzy demand, urgency of relief demand

中图分类号:

宋英华, 王莉芳, 杜丽敬, 方丹辉, 王喆. 模糊条件下应急物资配送选址-多模式运输问题[J]. 中国安全科学学报, 2017, 27(7): 169-174.

SONG Yinghua, WANG Lifang, DU Lijing, FANG Danhui, WANG Zhe. Location-multimodal transportation problem for relief distribution in emergency logistics under fuzzy conditions[J]. China Safety Science Journal, 2017, 27(7): 169-174.

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模糊条件下应急物资配送选址-多模式运输问题

Location-multimodal transportation problem for relief distribution in emergency logistics under fuzzy conditions

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