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Bi-objective robust optimisation on relief collaborative distribution considering secondary disasters

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成果类型:
期刊论文
作者:
Zhang, Dezhi;Zhang, Yarui;Li, Shuanglin;Li, Shuangyan;Chen, Wanru
通讯作者:
Li, SL
作者机构:
[Li, Shuanglin; Chen, Wanru; Li, SL; Zhang, Dezhi; Zhang, Yarui] Cent South Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China.
[Li, Shuangyan] Cent South Univ Forestry & Technol, Sch Transportat & Logist, Changsha, Peoples R China.
通讯机构:
[Li, SL ] C
Cent South Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China.
语种:
英文
关键词:
Emergency logistics;secondary disasters;location-allocation problem;robust optimisation model;case study
期刊:
International Journal of Production Research
ISSN:
0020-7543
年:
2023
卷:
62
期:
7
基金类别:
The work was supported by the National Natural Science Foundation of China: [Grant Number 72074073]; the High-end Think Tank Project of Central South University: [Grant Number 2021znzk08]; Natural Science Foundation of Hunan Province, China: [Grant Number 2021JJ30857, 2021JJ31167]; Hunan Social Science Foundation: [Grant Number 19YBA378]; and Science and Technology Research and Development Plan Project of China National Railway Group Co.: [Grant Number 2023X022].
机构署名:
本校为其他机构
院系归属:
交通运输与物流学院
摘要:
Developing an effective emergency collaborative distribution system is critical to improve on-time response performance, especially considering secondary disasters. To address the challenge, this paper investigates a bi-objective robust optimisation model on relief collaborative distribution among three echelons of authorities, the province, the municipality, and the county, which aims to minimise the total travel time and the total humanitarian logistics cost simultaneously. The optimal location of relief supply facilities and the relief distribution schemes will be determined by the optimisa...

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