A reliable emergency logistics network for COVID-19 considering the uncertain time-varying demands
Jianghua Zhang, Daniel Zhuoyu Long, Yuchen Li
| Year of publication: |
2023
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|---|---|
| Authors: | Zhang, Jianghua ; Long, Daniel Zhuoyu ; Li, Yuchen |
| Published in: |
Transportation research / E : an international journal. - Amsterdam : Elsevier, ISSN 1366-5545, ZDB-ID 1380969-6. - Vol. 172.2023, p. 1-21
|
| Subject: | Covid-19 | Emergency logistic network | Emergency resource location–allocation | Epidemic trend prediction | Robust optimization | Uncertain time-varying demand | Coronavirus | Logistik | Logistics | Epidemie | Epidemic | Lieferkette | Supply chain | Unternehmensnetzwerk | Business network |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2023.103087 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014302083