Location of maritime emergency supplies repertories considering risk uncertainty

doi:10.16265/j.cnki.issn1003-3033.2019.09.028

Abstract

Abstract: In order to improve the rescue service capability of maritime emergency system, site selection of maritime emergency material reserve was studied. Firstly, according to the characteristics of maritime emergency response, the concept of emergency response satisfaction was introduced from the perspectives of timeliness, effectiveness and the difference in the demand for emergency response services among accidents with different risk levels. Based on this, a site selection model of marine emergency material reserve was constructed to realize the maximization of emergency efficiency. Then the uncertainty of the overall distribution of risk value of maritime accidents was analyzed by discrete simulation scenarios, and the robust optimization model of the location of storage pool was constructed by using robust theory. Finally, genetic algorithm was used to obtain the final location scheme. The results show that in discrete simulation scenarios with significant difference in risk distribution, the proposed robust optimization model are more stable than deterministic model and it can ensure the reliability of the location scheme.

Key words: emergency supplies repertories, risk level, location model, robust optimization, genetic algorithm

CLC Number:

X951

ZHANG Lingye, LYU Jing. Location of maritime emergency supplies repertories considering risk uncertainty[J]. China Safety Science Journal, 2019, 29(9): 173-180.

References

[1] 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, el at. Model for multi-tiered repositories emergency supplies reserves based on modularization[J]. China Safety Science Journal, 2018,28(11): 182-188.
[2] 张鑫,高淑春.需求不确定下的应急物资储备库选址模型研究[J].中国安全科学学报,2017,27(2): 169-174.
ZHANG Xin, GAO Shuchun. Research on location model of emergency supplies repository under demand uncertainty[J]. China Safety Science Journal, 2017,27(2): 169-174.
[3] 李志,李政祥,周愉峰,等.考虑中断情景与防御的应急物资储备库LIP模型[J].中国安全科学学报,2018,28(3): 90-95.
LI Zhi, LI Zhengxiang, ZHOU Yufeng, et al. A LIP model considering disruption scenarios and fortification for relief supplies reserve bases[J]. China Safety Science Journal, 2018,28(3): 90-95.
[4] 李云斌, 刘敬贤, 魏蕾,等. 渤海海域溢油应急基地多目标优化选址方法[J]. 哈尔滨工程大学学报, 2016, 37(4): 533-537.
LI Yunbin, LIU Jingxian, WEI Lei, et al. Multi-objective optimization of oil spill assistant site selection in the Bohai Sea[J]. Journal of Harbin Engineering University, 2016, 37(4): 533-537.
[5] 汪爱娇, 林国龙, 王学锋. 海上危险化学品应急基地的优化选址[J]. 安全与环境学报, 2011, 11(3): 200-203.
WANG Aijiao, LIN Guolong, WANG Xuefeng. Optimal location of maritime emergency bases of dangerous chemicals[J]. Journal of Safety and Environment, 2011, 11(3): 200-203.
[6] AI Yunfei, LYU Jing, ZHANG Lili. The optimization model for the location of maritime emergency supplies reserve bases and the configuration of salvage vessels[J]. Transportation Research Part E, 2015, 83: 170-188.
[7] 艾云飞, 吕靖, 张丽丽. 三角模糊需求下水上应急储备库选址-分配优化模型[J]. 安全与环境学报, 2016, 16(2): 179-183.
AI Yunfei, LYU Jing, ZHANG Lili. Optimized location-allocation model for water emergency supplies repertories under triangular fuzzy demand[J]. Journal of Safety and Environment, 2016, 16(2): 179-183.
[8] ZHANG Wenfen,YAN Xinping,YANG Jiaqi. Optimized maritime emergency resource allocation under dynamic demand[J]. Plos One, 2017, 12(12):e0189411.
[9] 吕靖, 王爽. 我国海上运输关键节点安全评价研究[J]. 交通运输系统工程与信息, 2015, 15(1): 30-36.
LYU Jing, WANG Shuang. Safety evaluation of China's maritime transport key nods[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1): 30-36.
[10] 吴兆麟, 朱军. 海上交通工程[M]. 大连: 大连海事大学出版社, 2004: 291-292.
[11] BYE R J, ASBJORN L A. Maritime navigation accidents and risk indicators: an exploratory statistical analysis using AIS data and accident reports[J]. Reliability Engineering and System Safety, 2018, 176: 174-186.
[12] HEIJ C, KNAPP S. Effects of wind strength and wave height on ship incident risk: regional trends and seasonality[J]. Transportation Research Part D, 2015, 37: 29-39.
[13] WEI Liang, LI Weiping, LI Kailing, et al. Decision support for urban shelter locations based on covering model[J]. Procedia Engineering, 2012, 43: 59-64.
[14] SORESEN P, CHURCH R. Integrating expected coverage and local reliability for emergency medical services location problems[J]. Socio-Economic Planning Sciences, 2010, 44(1): 8-18.
[15] PAUL N R, LUNDAY B J, NUYYE S G. A multiobjective, maximal conditional covering location problem applied to the relocation of hierarchical emergency response facilities[J]. Omega, 2017, 66: 147-158.
[16] 李彦瑾,罗霞,游云晴.贫信息情况下的应急救援路径选择模型[J].中国安全科学学报,2018,28(8): 174-179.
LI Yanjin, LUO Xia, YOU Yunqing. A model for emergency rescue path selection under poor information condition[J]. China Safety Science Journal, 2018,28(8): 174-179.