JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2018, Vol. 53 ›› Issue (5): 1-11.doi: 10.6040/j.issn.1671-9352.0.2017.294

    Next Articles

Emergency supply scheduling optimization under stochastic simulation of complex risk variables

HE Xin-hua1, WAN Fan1, HU Wen-fa2, ZHENG Ai-bing3   

  1. 1. School of Economics Management, Shanghai Maritime University, Shanghai 201306, China;
    2. School of Economics and Management, Tongji University, Shanghai 200092, China;
    3. School of International Business Administration, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Received:2017-06-14 Online:2018-05-20 Published:2018-05-25

Abstract: Considering the cost of emergency resource scheduling in emergencies supply chain, it is necessary to minimize the scheduling cost on the basis of satisfying the demand of each disaster point. This paper considers the changes in costs due to the impact of risk variables on the choice of transportation and the cost changes caused by material losses during transport. Based on a series of model assumptions and definitions, a theoretical model of emergency resource dispatching process based on multi-hazard points was constructed. The problem was solved by the stochastic simulation combined with Particle Swarm Optimization based on Bacterial Chemotaxis(PSOBC)and achieved the minimum cost of the target. Finally, a numerical example was given to demonstrate the effectiveness and feasibility of the proposed model.

Key words: complex risk variables, emergency supply scheduling, stochastic simulation, PSOBC algorithm

CLC Number: 

  • F253
[1] CHANG Fusheng, WU J S, LEE C N, et al. Greedy search-based multi-objective genetic algorithm for emergency logistics scheduling[J]. Expert Systems with Applications, 2014, 41(6):2947-2956.
[2] 杨勃, 杜冰, 李小林.多灾害点救灾物资分配调度问题启发式算法[J]. 系统工程, 2012, 30(1):97-102. YANG Bo, DU Bing, LI Xiaolin. Heuristics algorithm for distribution and scheduling of relief supplies among multiple disaster sites[J]. Systems Engineering, 2012, 30(1):97-102.
[3] 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, ZAHNG Jianghua, ZHU Daoli. Multi-resource emergency scheduling model and algorithm in disaster chain[J]. Systems Engineering-Theory and Practice, 2011, 31(3):488-495.
[4] RUBEL D, SHINYA H. An agent-based model for resource allocation during relief distribution[J]. Journal of Humanitarian Logistics and Supply Chain Management, 2014, 4(2):265-285.
[5] 杨继君, 佘廉.面向多灾害点需求的应急资源调度博弈模型及优化[J]. 中国管理科学, 2016, 24(8):154-163. YANG Jijun, SHE Lian. Game model and optimization based on resource requirements of multiple crisis locations[J].Chinese Journal of Management Science, 2016, 24(8):154-163.
[6] 宫华, 张彪.基于离散粒子群算法的应急救灾物资配送问题[J]. 沈阳理工大学学报, 2015, 34(2):65-70. GONG Hua, ZHANG Biao. An emergency relief supplies distribution problem based on the discrete particle swarm optimization algorithm[J]. Journal of Shenyang Ligong University, 2015, 34(2):65-70.
[7] HE Xinhua, HU Wenfa. Modeling relief demands in an emergency supply chain system under large-scale disasters based on a queuing network[J]. The Scientific World Journal, 2014, 2:195053.
[8] 何新华, 胡文发, 周溪召, 等. 震后应急供应问题与交通路网的协同优化模型[J]. 中国管理科学, 2017, 25(4): 104-114. HE Xinhua, HU Wenfa, ZHOU Xizhao, et al. Emergency supply problems and collaboration optimization of emergency traffic network after earthquakes[J]. Chinese Journal of Management Science, 2017, 25(4): 104-114.
[9] WEX F, SCHRYEN G, FEUERRIEGEl S, et al. Emergency response in natural disaster management: allocation and schedul-ing of rescue units[J].European Journal of Operational Research, 2014, 235(1):697-708.
[10] 张国富,王永奇,苏兆品,等.应急救援物资多目标分配与调度问题建模与求解[J].控制与决策,2017,32(1):86-92. ZHANG Guofu, WANG Yongqi, SU Zhaopin, et al. Modeling and solution of multi-objective allocation and scheduling problem of emergency relief materials[J]. Control and Decision, 2017, 32(1):86-92.
[11] 王治莹, 岳朝龙. 舆情传播中考虑公众风险感知的多资源流应急优化调度[J]. 中国管理科学, 2016, 24(6):115-123. WANG Zhiying, YUE Chaolong. Emergency optimal scheduling of multi-resource flow considering the publics risk perception in public opinion propagation[J]. Chinese Journal of Management Science, 2016, 24(6):115-123.
[12] 赵明, 宋晓宇, 常春光. 改进人工蜂群算法及其在应急调度优化问题中的应用[J]. 计算机应用研究, 2016, 33(12):3596-3601. ZHAO Ming, SONG Xiaoyu, CHANG Chunguang. Improved artificial bee colony algorithm and its application on optimization of emergency scheduling[J]. Application Research of Computers, 2016, 33(12):3596-3601.
[13] 于欣然. 基于风险识别的重大火灾事故救援的对策研究[D]. 沈阳:沈阳航空航天大学, 2017. YU Xinran. Research on the countermeasures of major fire accident rescue based on risk identification[D]. Shenyang: Shen-yang Aerospace University, 2017.
[14] 洪东跑,马小兵,赵宇,等. 基于比例风险模型的环境折合系数确定方法[J]. 北京航空航天大学学报,2010,36(4):443-446. HONG Dongpao, MA Xiaobing, ZHAO Yu, et al. Environment referring factor based on proportional hazards model[J].Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(4):443-446.
[1] HE Xin-hua, HU Wen-fa, XU Chang-yan, CHEN Ji-hong. Collaborative transshipment strategy of service supply chain for emergencies based on stochastic and fuzzy simulation [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2016, 51(12): 67-77.
Full text



No Suggested Reading articles found!