Human-made, natural, and unexpected disasters always cause human and financial losses to communities. Disaster management is a framework with proven performance to reduce the damage caused by disaster and supply chain disruptions. Transferring the injured people from affected areas to hospitals at the minimum possible time is a crucial goal in times of disaster. This paper develops a two-stage stochastic programming model to transport the injured people from affected areas to hospitals in the incidence of multiple disruptions at transportation links and facilities under uncertainties. Herein, economic, social, and environmental aspects of sustainability are considered, while simultaneous disruptions are managed to minimize the adverse impacts of the disasters. We aim to determine optimal locations to establish transfer points and flows between the relief network nodes with sustainability considerations. Ultimately, a case study in District 12 of Tehran, Iran is conducted to ensure the proposed model’s validity and performance. Various sensitivity analyses are also implemented to ensure the model’s effectiveness. The results indicate that disruptions in facilities and transportation links lead to increased relief time, hence has the most significant negative impact on relief operations.
Keywords: Disruption, Disaster, Transfer Point, Stochastic Programming, Sustainability
@article{RO_2022__56_2_751_0,
author = {Desi-Nezhad, Zahra and Sabouhi, Fatemeh and Dehghani Sadrabadi, Mohammad Hossein},
title = {An optimization approach for disaster relief network design under uncertainty and disruption with sustainability considerations},
journal = {RAIRO. Operations Research},
pages = {751--768},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {2},
doi = {10.1051/ro/2022021},
mrnumber = {4407592},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022021/}
}
TY - JOUR AU - Desi-Nezhad, Zahra AU - Sabouhi, Fatemeh AU - Dehghani Sadrabadi, Mohammad Hossein TI - An optimization approach for disaster relief network design under uncertainty and disruption with sustainability considerations JO - RAIRO. Operations Research PY - 2022 SP - 751 EP - 768 VL - 56 IS - 2 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022021/ DO - 10.1051/ro/2022021 LA - en ID - RO_2022__56_2_751_0 ER -
%0 Journal Article %A Desi-Nezhad, Zahra %A Sabouhi, Fatemeh %A Dehghani Sadrabadi, Mohammad Hossein %T An optimization approach for disaster relief network design under uncertainty and disruption with sustainability considerations %J RAIRO. Operations Research %D 2022 %P 751-768 %V 56 %N 2 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022021/ %R 10.1051/ro/2022021 %G en %F RO_2022__56_2_751_0
Desi-Nezhad, Zahra; Sabouhi, Fatemeh; Dehghani Sadrabadi, Mohammad Hossein. An optimization approach for disaster relief network design under uncertainty and disruption with sustainability considerations. RAIRO. Operations Research, Tome 56 (2022) no. 2, pp. 751-768. doi: 10.1051/ro/2022021
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