Research on rapid location selection of emergency materials distribution center considering dynamic demand

doi:10.16265/j.cnki.issn1003-3033.2019.08.027

Abstract

Abstract: In order to effectively carry out the emergency materials distribution work, a rapid location selection model of emergency materials distribution center to minimize delivery time and cost while maximizing the fairness of material distribution was built in consideration of road damage and recovery after disaster, the dynamic demand of different types of materials and multiple optimization objectives of emergency logistics. Then the hierarchical sequence method coupled with Dijstra algorithm was designed to solve the model, and through data simulation, the rapid location selection model with multi-material and multi-cycle was designed. The results show that the model can not only realize the rapid location selection of the emergency materials distribution center coupled with distribution path under the changes of dynamic materials demand and road conditions, but also reduce the waste of resources, so that the whole emergency logistics system is more agile and more reliable.

Key words: rapid site selection, dynamic demand, multi-cycle, multi-objective optimization, road damage

CLC Number:

X913.4

SONG Yinghua, SU Beibei, HUO Feizhou, NING Jingjing, FANG Danhui. Research on rapid location selection of emergency materials distribution center considering dynamic demand[J]. China Safety Science Journal, 2019, 29(8): 172-177.

References

[1] 应急管理部、国家减灾委办公室发布2018年5月份全国自然灾害基本情况[OL].(2018-06-17).http://www.chinasafety.gov.cn/xw/bbgz/201806/t20180617_216935.shtml
[2] 李占凤.城市物流配送网络研究综述[J].商场现代化,2015(7): 59-60.
[3] CAUNHYE A M, ZHANG Y, LI M, et al. A location-routing model for prepositioning and distributing emergency supplies[J]. Transportation Research Part E Logistics and Transportation Review, 2016, 90(43): 161-176.
[4] 彭春,李金林,王珊珊,等.多类应急资源配置的鲁棒选址-路径优化[J].中国管理科学,2017,25(6): 143-150.
PENG Chun, LI Jinlin, WANG Shanshan, et al. Multiple relief resources robust location-routing optimization[J]. Chinese Journal of Management Science,2017,25(6): 143-150.
[5] 王娟,聂锐,阎薪宇.多目标规划在应急物流中的应用综述[J].中国安全生产科学技术,2017,13(7): 68-73.
WANG Juan, NIE Rui, YAN Xinyu. Review on application of multi-objective programming in emergency logistics[J]. Journal of Safety Science and Technology,2017,13(7): 68-73.
[6] LIU Jia, XIE Kefan. Emergency materials transportation model in disasters based on dynamic programming and ant colony optimization[J]. Kybernetes, 2017, 46(4): 656-671.
[7] 李进, 张江华, 朱道立. 灾害链中多资源应急调度模型与算法[J]. 系统工程理论与实践, 2011, 31(3): 488-495.
LI Jin, ZHANG Jianghua, ZHU Daoli. Multi-resource emergency scheduling model and algorithm in disaster chain[J]. Systems Engineering-Theory & Practice, 2011, 31(3): 488-495.
[8] 冯春,廖海燕,田小强,等.多情景模式下应急资源精益配置模型与算法[J].中国安全科学学报,2018,28(6): 185-191.
FENG Chun, LIAO Haiyan, TIAN Xiaoqiang, et al. Model and algorithm for lean principle based deploying emergency resources[J].China Safety Science Journal,2018,28(6): 185-191.
[9] 董骏峰, 肖娇, 梁昌勇,等. 基于模块化的多层级储备库应急物资储备模型[J]. 中国安全科学学报,2018,28(11): 182-188.
DONG Junfeng, XIAO Jiao, LIANG Changyong, et al. Modul for multi-tiered repositories emergency supplies based on modularization[J]. China Safety Science Journal,2018,28(11): 182-188.
[10] 孙华丽,王循庆,薛耀锋.应急物流研究现状及发展动态分析[J].中国安全科学学报,2010,20(10): 165-170.
SUN Huali, WANG Xunqing, XUE Yaofeng. Emergency logistics status and its development trend analysis[J]. China Safety Science Journal, 2010,20(10): 165-170.
[11] 陈刚. 灾后应急物资敏捷保障模型及算法研究[D].成都:西南交通大学,2015.
CHEN Gang. Research on urgent relief quick response model and algorithm for post-disaster[D]. Chengdu:Southwest Jiaotong University,2015.
[12] 盖文妹,蒋仲安,邓云峰,等.应急救援物资车辆运输路线多目标优化[J].北京科技大学学报,2014,36(10): 1 384-1 393.
GAI Wenmei, JIANG Zhongan, DENG Yunfeng, et al. Multi-objective optimization of emergency rescue materials transportation route[J]. Chinese Journal of Engineering,2014,36(10): 1 384-1 393.
[13] 毛程远. 路面破损对车辆行驶模式及交通流运行特性影响研究[D]. 哈尔滨:哈尔滨工业大学, 2013.
MAO Chengyuan. Research on Vehicle running mode & characteristics of traffic flow resulting from pavement distress[D]. Harbin: Harbin Institute of Technology,2013.
[14] 吴坷,宋英华,吕伟.城镇应急资源储备点选址与布局优化研究:考虑暴雨灾害和路径长度[J].中国安全科学学报,2017,27(9): 170-174.
WU Ke, SONG Yinghua,LYU Wei. Research on siting of urban emergency resources depots and layout optimization considering rainstorm disaster and distribution route[J].China Safety Science Journal,2017,27(9): 170-174.
[15] 云南及邻区最新地震信息[EB/OL].(2019-01-26).http://www.eqzt.com/.
[16] 王玲.我国公路运输成本结构及驱动因素:基于GTC模型的实证研究[J].北京交通大学学报:社会科学版,2013,12(4): 7-13.
WANG Ling. An empirical study on the structure and driving factors of China's road transportation cost based on GTC model[J].Journal of Beijing Jiaotong University:Social Sciences Edition, 2013,12(4): 7-13.