A hybrid genetic algorithm to size the hospital resources in the case of a massive influx of victims

AB Kacem, O Kamach, S Chafik - … International Colloquium on …, 2019 - ieeexplore.ieee.org
This paper describes a hybrid approach to size the hospital resources in the cases of a
massive influx of victims generated by a disaster situation (natural or made man disaster) …

[PDF][PDF] A hybrid algorithm to size the hospital resources in the case of a massive influx of victims.

A Ben Kacem, O Kamach… - … of Electrical & …, 2020 - download.garuda.kemdikbud.go.id
Disaster situations either natural or made-man caused a large number of deaths and injured
people. Morocco has experienced several disasters recently, the last one was the railway …

Supervised machine learning to allocate emergency department resources in disaster situations

A Benkacem, O Kamach, S Chafik… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Despite implementing the Hospital Emergency Plan (HEP) in Morocco that manages the
massive influx of victims in disaster situations, it is still difficult for healthcare decision …

The reconfigurability of a hospital center facing a massive influx of victims

AB Kacem, O Kamach, S Chafik - … International Colloquium on …, 2018 - ieeexplore.ieee.org
The aim of this work is to introduce an efficient way for the management and the sizing of a
hospital center facing exceptional situations as a result of a massive influx of victims. The …

Optimizing the arrangement of post-disaster rescue activities: An agent-based simulation approach

S Chang, M Ichikawa, H Deguchi… - Journal of Advanced …, 2017 - jstage.jst.go.jp
This work aims to tackle the following two research questions regarding post-disaster
rescues: how to optimize the rescue team dispatch based on the specialties of the team and …

Modelling the logisitcs response to disasters

W Chen - 2015 - theses.hal.science
This thesis is devoted to optimize the health care logistics which can support emergency
management plans to reduce the impacts of natural and/or man-made disasters. After the …

Predicting medical resources required to be dispatched after earthquake and flood, using historical data and machine learning techniques: the COncORDE …

H Papadopoulos, A Korakis - International Journal of Interactive …, 2018 - igi-global.com
This article presents a method to predict the medical resources required to be dispatched
after large-scale disasters to satisfy the demand. The historical data of past incidents …

Assessment of emergency supply of healthcare facilities as a module of the crisis management information system

K Víchová, M Hromada - MATEC Web of Conferences, 2018 - publikace.k.utb.cz
This paper focuses on assessing the crisis preparedness of healthcare facilities as a new
module of crisis management information systems. The crisis is widespread around the …

Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods

O Rodríguez-Espíndola, P Albores… - European Journal of …, 2018 - Elsevier
The logistical deployment of resources to provide relief to disaster victims and the
appropriate planning of these activities are critical to reduce the suffering caused. Disaster …

A decision-making tool for the determination of the distribution center location in a humanitarian logistics network

X Taouktsis, C Zikopoulos - Expert Systems with Applications, 2024 - Elsevier
The distribution of humanitarian aid is a vital issue for humanity's future. In recent years, the
management of humanitarian crises has become more crucial than it was a decade ago …