Research on Optimization of Emergency Logistics Scheduling in Complex Disaster Relief Situations

被引:0
作者
Wang, Yanyan [1 ]
机构
[1] Harbin Inst Technol, Fac Humanities & Social Sci, Harbin, Peoples R China
来源
2024 12TH INTERNATIONAL CONFERENCE ON TRAFFIC AND LOGISTIC ENGINEERING, ICTLE 2024 | 2024年
关键词
complex disaster situation; emergency logistics; resource allocation; scheduling; optimization;
D O I
10.1109/ICTLE62418.2024.10703875
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Scientific emergency logistics scheduling is a crucial component in the emergency rescue process during sudden disasters. It significantly impacts the overall effectiveness of emergency rescue operations and is closely tied to their success or failure. In order to achieve efficient scheduling of emergency logistics in complex disaster relief scenarios, a method has been introduced for optimizing emergency logistics scheduling based on uncertain disaster information. The effectiveness and feasibility of this model have been validated through a case study of the Ludian earthquake in Yunnan Province, China. The results demonstrate that the proposed model can produce a scientifically optimized plan for emergency logistics scheduling in challenging disaster conditions. This offers valuable insights for practical emergency logistics scheduling and resource allocation in real-world scenarios.
引用
收藏
页码:253 / 257
页数:5
相关论文
共 9 条
[1]   Including deprivation costs in facility location models for humanitarian relief logistics [J].
Cotes, Nathalie ;
Cantillo, Victor .
SOCIO-ECONOMIC PLANNING SCIENCES, 2019, 65 :89-100
[2]  
[郭子雪 GUO Zi-xue], 2010, [运筹与管理, Operations Research and Management Science], V19, P15
[3]   The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments [J].
Qin, Jin ;
Ye, Yong ;
Cheng, Bi-rong ;
Zhao, Xiaobo ;
Ni, Linling .
SUSTAINABILITY, 2017, 9 (02)
[4]   Dynamic relief-demand management for emergency logistics operations under large-scale disasters [J].
Sheu, Jiuh-Biing .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (01) :1-17
[5]   Mufti-objective optimal planning for designing relief delivery systems [J].
Tzeng, Gwo-Hshiung ;
Cheng, Hsin-Jung ;
Huang, Tsung Dow .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2007, 43 (06) :673-686
[6]   Emergency response in natural disaster management: Allocation and scheduling of rescue units [J].
Wex, Felix ;
Schryen, Guido ;
Feuerriegel, Stefan ;
Neumann, Dirk .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 235 (03) :697-708
[7]   A dynamic logistics coordination model for evacuation and support in disaster response activities [J].
Yi, Wei ;
Ozdamar, Linet .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 179 (03) :1177-1193
[8]  
[张玲 Zhang Ling], 2010, [系统科学与数学, Journal of Systems Science and Mathematical Sciences], V30, P1283
[9]   A multi-objective evolutionary algorithm for multi-period dynamic emergency resource scheduling problems [J].
Zhou, Yawen ;
Liu, Jing D ;
Zhang, Yutong ;
Gan, Xiaohui .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 99 :77-95