不确定情景下应急物资储备库选址问题研究

工业工程 ›› 2014, Vol. 17 ›› Issue (2): 7-11.

不确定情景下应急物资储备库选址问题研究

1.西南交通大学交通运输与物流学院，四川成都 610031；2. 西南交通大学四川省区域和国别重点研究基地美国研究中心，四川成都 610031

出版日期:2014-04-30 发布日期:2014-06-05
作者简介:冯春（1970-），男，四川省人，教授，博士，主要研究方向为物流与供应链管理.
基金资助:
国家社会科学基金资助项目(12BGL053)；西南交通大学美国研究中心资助项目（ARC2013-001）

Research on Emergency Supply Stockpile Location under Uncertainty Scenarios

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China;
(2. United States Research Center, Regional and National Key Research Base of Sichuan， Southwest Jiaotong University, Chengdu 610031, China

Online:2014-04-30 Published:2014-06-05

摘要/Abstract

摘要： 针对在地震等自然灾害发生时受灾点以及应急需求均为不确定的情况，研究了灾前预置应急物资储备库的选址问题。通过设计多个需求情景来描述受灾点与应急需求的不确定性，建立了有最大运输距离限制的鲁棒优化模型，并设计了鲁棒优化方法。通过数值计算比较分析鲁棒优化方法和随机优化方法的计算结果，表明鲁棒优化解受不确定因素产生的偏差要比随机优化解小，鲁棒优化方法能够有效地减弱不确定性因素对选址方案的影响，并且能降低由预测偏差带来的风险。

关键词: 应急物资储备库, 鲁棒优化方法, 选址

Abstract: Due to the uncertainty in accident locations and demands for rescue, it is important and meaningful to locate an emergency supply stockpile warehouse. With the uncertainty in accident locations and demands for rescue considered, a robust optimization model is presented by setting a series of demanding scenarios. By this model, the distance between the warehouse and an accident location is within a given range. Then, a genetic algorithm is designed to solve the problem. It is compared with the stochastic optimization model. Result shows that the proposed method outperforms the stochastic optimization solution method. Moreover, the proposed method can effectively reduce the effect of uncertainty in the site selection.

Key words: emergency material repository, robust optimization, location

冯春1,2，于彧洋1. 不确定情景下应急物资储备库选址问题研究[J]. 工业工程, 2014, 17(2): 7-11.

Feng Chun1,2，Yu Yu-yang1. Research on Emergency Supply Stockpile Location under Uncertainty Scenarios[J]. Industrial Engineering Journal , 2014, 17(2): 7-11.

参考文献

［1］Yi W, Kumar A. Ant colony optimization for disaster relief operations［J］. Transportation Research Part E: Logistics and Transportation Review, 2007, 43(6):660-672. ［2］Iakovou E, Ip C M, Douligeris C, et al. Optimal location and capacity of emergency cleanup equipment for oil spill response［J］. European Journal of Operational Research, 1997,96(1):72-80. ［3］郭子雪,齐美然,张强.应急救援物资储备库最小加权距离选址模型［J］.计算机工程与应用,2009,45(34):195-197. Guo Zi-xue , Qi Mei-ran , Zhang Qiang. Minimum weighed distance model of emergency material storage location［J］. Computer Engineering and Applications,2009,45(34):195-197 ［4］程向辉,刘俊勇,冯翰,等.计及多因素的电力应急物资储备库选址方法［J］.电力系统及其自动化学报,2012,24（3）：80-85. Cheng Xianghui, Liu Jun-yong, Feng Han, et al. Location method of electricity material storage considering multiple factors［J］. Proceedings of the CSUEPSA, 2012,24（3）：80-85. ［5］李周清,王绍仁,王峰.区域性应急物资储备库选址－配给模型与算法［J/OL］.［20130102］. http:∥www.cnki.net/kcms/detail/11.2127.TP.20130122.1437.006.html. Li Zhouqing, Wang Shaoren, Wang Feng. Locationallocation model and algorithm for regional reserve depots of emergency materials［J］. Computer Engineering and Applications, http://www.cnki.net/kcms/detail/11.2127.TP.20130122.1437.006.html. ［6］朱建明.基于损毁情景的可靠连通应急救援设施选址问题［J］.电子科技大学学报:社科版, 2012,14(3):44-48. Zhu Jian-ming. Reliable connected facility location problem in emergency management based on failure scenarios［J］. Journal of UESTC:Social Sciences Edition, 2012,14(3):44-48.［7］Balcik B, Beamon B M. Facility location in humanitarian relief［J］. International Journal of Logistics: Research and Applications,2008,11(2):101-121. ［8］Ukkusuri S V, Yushimito W F. Location routing approach for the humanitarian prepositioning problem［J］. Transportation Research Record, 2008(2089):18-25. ［9］Mulvey J M,Vanderbei R J,Zenios S A.Robust optimization of largescale systems［J］. Operations Research,1995,43(2):264-281. ［10］熊杰.灾难救援物流网络鲁棒性研究［D］.四川:西南交通大学,2012. Xiong Jie. Research on robustness of disaster relief logistic network［D］. Sichuan：Southwest Jiaotong University, 2012. ［11］沈犁,冯春,朱娟秀.集装箱公路中转站选址问题鲁棒优化方法研究［J］.科技通报,2012,28(6):149-151. Shen Li, Feng Chun, Zhu Juan-xiu. Robust optimization for inland container depot location and allocation under demand uncertainties［J］.Bulletin of Science and Technology, 2012,28(6):149-151. ［12］王保华,何世伟.不确定环境下物流中心选址鲁棒优化模型及其算法［J］.交通运输系统工程与信息,2009,9(2):69-74.  Wang Bao-hua, He Shi-wei. Robust optimization model and algorithm for logistics center location and allocation under uncertain environment［J］. Journal of Transportation Systems Engineering and Information Technology, 2009,9(2):69-74.

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