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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Bibliographic Details

Published in:	International journal of systems science. Operations & logistics Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 27
Main Authors:	Nezhadroshan, Ali Mehdi, Fathollahi-Fard, Amir Mohammad, Hajiaghaei-Keshteli, Mostafa
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 02.10.2021
Subjects:	humanitarian logistics multiple disasters relief chain resiliency Stochastic programming supply chain
ISSN:	2330-2674, 2330-2682
Online Access:	Get full text
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