A scenario-based possibilistic-stochastic programming approach to address resilient humanitarian logistics considering travel time and resilience levels of facilities

There is a great deal of interest in addressing humanitarian logistics due to the need for emergency services in the case of disaster. Controlling both operational and disruption uncertainties in the emergency management is one of challenging topics lately to propose a robust plan for humanitarian l...

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Vydané v:	International journal of systems science. Operations & logistics Ročník ahead-of-print; číslo ahead-of-print; s. 1 - 27
Hlavní autori:	Nezhadroshan, Ali Mehdi, Fathollahi-Fard, Amir Mohammad, Hajiaghaei-Keshteli, Mostafa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 02.10.2021
Predmet:	humanitarian logistics multiple disasters relief chain resiliency Stochastic programming supply chain
ISSN:	2330-2674, 2330-2682
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