article
Emergency Medical Services EMS must respond adequately within a predefined time to critical calls by providing first aid to patients and transporting them to health care centers if necessary. Herein, we will consider the EMS designing problem under demand uncertainty. A constrained stochastic programming model is developed to locate stations and define how many and which type of ambulances to affect to them. We linearized the probabilistic constraints to tackle the problem. To evaluate the impacts of proposed EMS configuration, we recourse to Mote Carlo simulation. The computational experiments are based on real data of a Tunisian Emergency Medical System.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1109/ic_aset58101.2023.10151012
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
