震后恢复期物资配送中的多周期选址—联运问题

交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (4): 230-238.

震后恢复期物资配送中的多周期选址—联运问题

郑斌^*1，马祖军²

1.西南交通大学峨眉校区, 四川峨眉山614202； 2.西南交通大学经济管理学院物流与应急管理研究所, 成都610031

收稿日期:2013-10-10 修回日期:2014-02-15 出版日期:2014-08-25 发布日期:2014-09-16
作者简介:郑斌(1983-), 女, 河北深州市人, 讲师.
基金资助:
国家自然科学基金项目(70771094,90924012)；教育部新世纪优秀人才支持计划资助项目(NCET-10-0706)；四川省哲学社会科学研究规划项目(SC11B049)；中央高校基本科研业务费专项资金资助项目(2682014CX009EM，SWJTU11CX 152, 2682013CX073).

Multi-period Joint Location-Transportation during Postearthquake Restoration

ZHENG Bin¹, MAZu-jun²

1. Emei Campus, Southwest Jiaotong University, Emeishan 614202, Sichuan,China; 2. Institute for Logistics and Emergency Management, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China

Received:2013-10-10 Revised:2014-02-15 Online:2014-08-25 Published:2014-09-16

摘要/Abstract

摘要：

震后恢复期的物资配送是一项复杂的系统工程，针对震后恢复期两级救援物资配送系统中的多品种物资、多运输方式、多周期决策等特征，提出了一个以系统总费用最小为目标的混合整数线性规划模型，用以解决震后恢复期救援物流系统中的选址—联运问题.针对该模型的特点，设计了一种结合启发式规则的分周期、分阶段解码的混合遗传算法. 以“5.12”汶川大地震恢复期救援物资保障过程构建算例，对该模型和算法进行了实例验证. 结果表明，该算法具有较好的性能，可以有效解决震后恢复期物资配送中的多周期选址—联运问题.

关键词: 系统工程, 震后恢复, 救援物资, 选址&mdash, 联运问题, 混合遗传算法

Abstract:

The relief distribution during post-earthquake restoration period is a complex system engineering problem. A mixed integer linear programming model which minimizes the total cost is proposed to describe the joint transfer facility location and transportation problem in a two-echelon relief distribution system. It considers the features of relief distribution during post-earthquake restoration stage, such as various relief materials, various modes of transportation, multi- period decision. etc. Then, a hybrid genetic algorithm with multi-period and multi-phase decoded operation is proposed to solve the model. Finally, the validity of the model and algorithm is demonstrated by a numerical example based on Wenchuan earthquake relief distribution during post- earthquake restoration period. The results show that the proposed genetic algorithm has good performance and is suitable for the joint location-transportation problem in relief distribution.

Key words: system engineering, post-earthquake restoration, relief materials, joint location-transportation problem, hybrid genetic algorithm

中图分类号:

F252
U116

郑斌，马祖军. 震后恢复期物资配送中的多周期选址—联运问题[J]. 交通运输系统工程与信息, 2014, 14(4): 230-238.

ZHENG Bin, MAZu-jun. Multi-period Joint Location-Transportation during Postearthquake Restoration[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(4): 230-238.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract18842.shtml

http://www.tseit.org.cn/CN/Y2014/V14/I4/230

参考文献

[1] Dessouky M, Ordóñez F, Jia H，et al. Rapid distribution of medical supplies[J]. Patient Flow: Reducing Delay in Healthcare Delivery, 2006: 309-338.

[2] Jia H, Ordóñez F, Dessouky M. A modeling framework for facility location of medical services for large-scale emergencies[J]. IIE Transactions, 2007, 39(1): 41-55.
[3] Tzeng G H, Cheng H J. Multi-objective optimal planning for designing relief delivery systems[J]. Transportation Research Part E, 2007, 43(6):673-686.
[4] Widener M J, Horner M W. A hierarchical approach to modeling hurricane disaster relief goods distribution [J].Journal of Transport Geography, 2011, 19(4): 821-828.
[5] Shen Z, Dessouky M, Ordóñez F. A two-stage vehicle routing model for large-scale bioterrorism emergencies[J]. Networks 2009, 54: 255–269.
[6] Yi W, Özdamar L. A dynamic logistics coordination model for evacuation and support in disaster response activities[J]. European Journal of Operational Research,2007, 179(3): 1177-1193.
[7] Afshar A M, Haghani A. Modeling integrated supply chain logistics in real-time large-scale disaster relief operations[J]. Socio- Economic Planning Sciences,2012, 46(4): 327-338.
[8] 曾敏刚, 崔增收, 余高辉. 基于应急物流的减灾系统LRP 研究[J]. 中国管理科学. 2010, 18(2): 75- 80.[ZENG M G, CUI Z S, YU G H. Research on locationrouting problem of relief system based on emergency logistics [J]. Chinese Journal of Management Science.2010, 18(2): 75-80.]
[9] 代颖, 马祖军, 朱道立, 等. 震后应急物资配送的模糊动态定位一路径问题[J]. 管理科学学报, 2012, 15(7):60-70.[DAI Y, MA Z J, ZHU D L et al. Fuzzy dynamic location-routing problem in post-earthquake delivery of relief materials[J]. Journal of Management Sciences in China, 2012, 15(7): 60-70.]
[10] 王绍仁, 马祖军. 震后紧急响应阶段应急物流系统中的LRP[J]. 系统工程理论与实践. 2011, 31(8): 1497-1507.[WANG S R, MA Z J. Location-routing problem in emergency logistics system for post- earthquake emergency relief response[J]. Systems Engineering- Theory& Practice, 2011, 31(8): 1497-1507.]
[11] Rath S, Gutjahr W J. A math-heuristic for the warehouse location–routing problem in disaster relief[J]. Computers & Operations Research, 2014, 42(1): 25-39.
[12] 胡鞍钢. 特大地震灾害的应对周期[J]. 清华大学学报,2009, 23(4): 5-14.[HU A G. The period to combat extraordinarily earthquake calamities[J]. Journal of Tsinghua University, 2009, 23(4): 5-14.]
[13] 葛洪磊. 基于灾情信息特征的应急物资分配决策模型研究[D]. 杭州: 浙江大学, 2012.[GE H L. Study on relief supplies allocation models based on characteristics of disaster situation information[D]. Hangzhou: Zhejiang University, 2012. ]

[1]	戴庆, 林正奎, 曲毅, 张佳佳. 并列瓶颈路网下个人与家庭混合通勤行为研究[J]. 交通运输系统工程与信息, 2022, 22(1): 182-194.
[2]	王庆云, 毛保华, 张国伍. 我国交通运输系统工程的演化[J]. 交通运输系统工程与信息, 2021, 21(5): 2-11.
[3]	张毅, 姚丹亚, 李力, 裴华鑫, 晏松, 葛经纬. 智能车路协同系统关键技术与应用[J]. 交通运输系统工程与信息, 2021, 21(5): 40-51.
[4]	赵旭，张汇妍，黄瑞. 节点中断与需求不确定下的港口供应链整合[J]. 交通运输系统工程与信息, 2021, 21(3): 34-39.
[5]	黄爱玲，徐笑涵，关伟，段梦媛. 基于加权耦合映像格子的地铁网络稳定性演化研究[J]. 交通运输系统工程与信息, 2021, 21(3): 140-149.
[6]	关伟，吴建军，高自友. 交通运输网络系统工程[J]. 交通运输系统工程与信息, 2020, 20(6): 9-21.
[7]	张水潮，蔡逸飞，黄锐，周竹萍. 基于预约需求的共享停车平台泊位分配方法[J]. 交通运输系统工程与信息, 2020, 20(3): 137-143.
[8]	王庆云. 交通发展中的技术及技术含量的判断[J]. 交通运输系统工程与信息, 2019, 19(6): 1-5.
[9]	段力，刘聪健，方炽霖，程紫微. 信号控制与交通分配协同模型的自适应IOA 算法[J]. 交通运输系统工程与信息, 2019, 19(6): 77-84.
[10]	贾文峥，王艳辉，苏宏明，刘悦，林帅. 基于风险网络的轨道交通车辆风险评价[J]. 交通运输系统工程与信息, 2019, 19(4): 143-148.
[11]	许小卫，谢新连，李猛，赵家保. 基于R-THIOWGA集成算子的模糊关联多属性群决策方法[J]. 交通运输系统工程与信息, 2019, 19(1): 6-12.
[12]	唐继孟，李建，阳波. 补贴政策对集装箱公铁联运竞争力的影响分析[J]. 交通运输系统工程与信息, 2018, 18(6): 201-208.
[13]	王海星，梁倩倩. 危险货物道路运输风险复杂系统及风险测度模型与应用——以液氯运输为例[J]. 交通运输系统工程与信息, 2018, 18(4): 142-147.
[14]	江磊，王小敏，蔺伟. 基于动态贝叶斯网络的列控中心可靠性及可用性评估[J]. 交通运输系统工程与信息, 2018, 18(3): 182-188.
[15]	李岩，周文辉，南斯睿，陈宽民. 基于可靠度的单轨道交通施工区建设方案优化[J]. 交通运输系统工程与信息, 2017, 17(5): 250-256.