Recent optimization models and trends in location, relocation, and dispatching of emergency medical vehicles

V Bélanger, A Ruiz, P Soriano - European Journal of Operational Research, 2019 - Elsevier
Over the past 10 years, a considerable amount of research has been devoted to the
development of models to support decision making in the particular yet important context of …

Emergency facility location problems in logistics: Status and perspectives

W Wang, S Wu, S Wang, L Zhen, X Qu - Transportation research part E …, 2021 - Elsevier
Emergencies that pose potential threats to our health, life, and properties can happen
anywhere and anytime and may result in huge losses if they are not handled timely and …

Forecasting emergency department overcrowding: A deep learning framework

F Harrou, A Dairi, F Kadri, Y Sun - Chaos, Solitons & Fractals, 2020 - Elsevier
As the demand for medical cares has considerably expanded, the issue of managing patient
flow in hospitals and especially in emergency departments (EDs) is certainly a key issue to …

A recursive simulation-optimization framework for the ambulance location and dispatching problem

V Bélanger, E Lanzarone, V Nicoletta, A Ruiz… - European Journal of …, 2020 - Elsevier
This study addresses the Ambulance Location and Dispatching Problem (ALDP), which
jointly determines the location of available ambulances and their dispatching policy. The …

Bi-objective trapezoidal fuzzy mixed integer linear program-based distribution center location decision for large-scale emergencies

S Wan, Z Chen, J Dong - Applied Soft Computing, 2021 - Elsevier
This paper aims at solving three important and challenging issues:(i) How to build a 0-1
mixed integer linear program-based distribution center location model for large-scale …

[HTML][HTML] An emergency medical services system design using mathematical modeling and simulation-based optimization approaches

A Hatami-Marbini, N Varzgani, SM Sajadi… - Decision analytics …, 2022 - Elsevier
The healthcare system is no stranger to resource challenges in the face of unlimited demand
to fulfill healthcare objectives of satisfying patients, maintaining service quality, and …

A stochastic programming approach for locating and dispatching two types of ambulances

S Yoon, LA Albert, VM White - Transportation Science, 2021 - pubsonline.informs.org
Emergency Medical Service systems aim to respond to emergency calls in a timely manner
and provide prehospital care to patients. This paper addresses the problem of locating …

EMS location-allocation problem under uncertainties

W Wang, S Wang, L Zhen, X Qu - … part E: logistics and transportation review, 2022 - Elsevier
Emergencies, especially those considered routine (ie, occurring on a daily basis), pose
great threats to health, life, and property. Immediate response and treatment can greatly …

[HTML][HTML] Using optimization to provide decision support for strategic emergency medical service planning–Three case studies

H Andersson, TA Granberg, M Christiansen… - International journal of …, 2020 - Elsevier
To achieve high performing emergency medical services (EMS), planning is of vital
importance. EMS planners face several challenges when managing ambulance stations and …

[HTML][HTML] Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods

F Harrou, A Dairi, F Kadri, Y Sun - Machine Learning with Applications, 2022 - Elsevier
Forecasting the different types of emergency department (ED) demands (patient flows) in
hospital systems much aids ED managers in looking into various options to appropriately …