Robust optimization model for relief supplies distribution considering fairness

被引:1
|
作者
Chen, Yingzhen [1 ]
机构
[1] Hubei Univ Arts & Sci, Sch Econ & Management, Xiangyang 441053, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
relief supplies distribution; robustness; reliability; time delay; fairness; STOCHASTIC-PROGRAMMING MODEL; LAST-MILE DISTRIBUTION; DISASTER RESPONSE; DEMAND; UNCERTAINTY; RESOURCE;
D O I
10.1111/itor.13486
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The emergency management agency (EMA) needs to distribute limited relief supplies efficiently. However, it is difficult to develop a reliable system for relief supplies distribution owing to the uncertainties in emergencies. This paper investigates a robust multiperiod relief supplies distribution problem that considers the uncertainties of transportation time, the amount of donation amount, and the secondary disasters. First, a satisfaction model is constructed by considering the relief supplies and the transportation time. The negative effect of the delay in transportation time is considered in the satisfaction model. Second, based on the satisfaction model, a comprehensive fairness strategy is constructed that considers both vertical fairness and horizontal fairness. Finally, a relief supplies distribution model is built for the EMA that considers the actions of the non-governmental organization (NGO) and donors. Both the utility and the fairness are considered in the objective of the proposed model. In numerical experiments, the Wenchuan earthquake is conducted to illustrate the applicability of the model and provide implications for decision-makers. The results show the benefits of considering both vertical fairness and horizontal fairness. Then the suitable threshold is given by the analysis of the time delay. Finally, managerial insights and recommendations for the EMA and the NGO derived from the numerical experiments are presented. The findings in this paper help improve the reliability of the relief supplies distribution system.
引用
收藏
页数:30
相关论文
共 50 条
  • [31] A robust model for a humanitarian relief network with backup covering under disruptions: A real world application
    Rahmani, Donya
    Zandi, Arash
    Peyghaleh, Elnaz
    Siamakmanesh, Nima
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2018, 28 : 56 - 68
  • [32] A New Multi-Objective Optimization Model of Water Resources Considering Fairness and Water Shortage Risk
    Tang, Xiaoyu
    He, Ying
    Qi, Peng
    Chang, Zehua
    Jiang, Ming
    Dai, Zhongbin
    WATER, 2021, 13 (19)
  • [33] A multi-stage stochastic programming model for relief distribution considering the state of road network
    Hu, Shaolong
    Han, Chuanfeng
    Dong, Zhijie Sasha
    Meng, Lingpeng
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2019, 123 : 64 - 87
  • [34] A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies
    Hachiya, Daiki
    Mas, Erick
    Koshimura, Shunichi
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [35] Distributionally Robust Optimization of Distribution Network Considering Distributed Generator Support and Agricultural Facility Coordination
    Wang W.
    Gao H.
    Wang R.
    Li H.
    Liu J.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (21): : 89 - 98
  • [36] A Collaborative Optimization Method of Flight Slots Considering Fairness Among Airports
    Tan, Xianghua
    Wang, Shasha
    Zeng, Weili
    Quan, Zhibin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [37] A robust optimization model for microgrid considering hybrid renewable energy sources under uncertainties
    Haider, Hussain
    Jun, Yang
    Rashed, Ghamgeen Izat
    Peixiao, Fan
    Kamel, Salah
    Li, Yonghui
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (34) : 82470 - 82484
  • [38] Robust optimization model of waste transfer station location considering existing facility adjustment
    Jia, Dongqing
    Li, Xingmei
    Shen, Zhong
    JOURNAL OF CLEANER PRODUCTION, 2022, 340
  • [39] Distributionally robust optimization model of virtual power plant considering user participation uncertainty
    Liu X.
    Li Y.
    Shi Y.
    Shen Y.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (07): : 84 - 93
  • [40] A robust optimization model for microgrid considering hybrid renewable energy sources under uncertainties
    Hussain Haider
    Yang Jun
    Ghamgeen Izat Rashed
    Fan Peixiao
    Salah Kamel
    Yonghui Li
    Environmental Science and Pollution Research, 2023, 30 : 82470 - 82484