A reliable emergency logistics network for COVID-19 considering the uncertain time-varying demands.

Zhang, Jianghua; Long, Daniel Zhuoyu; Li, Yuchen

Zhang, Jianghua; Long, Daniel Zhuoyu; Li, Yuchen.

Afiliación

Zhang J; School of Management, Shandong University, Jinan, Shandong, 250100, China.
Long DZ; Institute of Data & Decision Science, Shandong University, Jinan, Shandong, 250100, China.
Li Y; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Transp Res E Logist Transp Rev ; 172: 103087, 2023 Apr.

Article en En | MEDLINE | ID: mdl-36909783

Palabras clave

Covid-19; Emergency logistic network; Emergency resource locationallocation; Epidemic trend prediction; Robust optimization; Uncertain time-varying demand

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Transp Res E Logist Transp Rev Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google