Locating EMS vehicles in general networks with an approximate queueing model and a metaheuristic solution approach

Akdoğan, Muharrem Altan
In this study, problem of optimal location decision of ambulances as an server-to-customer Emergency Medical Service (EMS) vehicle is discussed. Hypercube queueing models (HQM) are employed to achieve performance measures significant to the location decision of EMS vehicles in spatial networks. Geroliminis et al(2009) extends HQM and propose Spatial Queueing Model(SQM). Our study proposes a generalization of SQM to be used in general networks. Quality of approximations inherit to SQM is questioned, and reported against various system spesific variables such as distribution of demand among regions, traffic intensity or distribution of demand regions over the area. Restriction of number of servers to be located per each location as one in the SQM model is relaxed. Effect of allowing multi servers per each location in general networks are reported. A metaheuristic algorithm (genetic algorithm) is proposed to solve the model for which no closed form expression exists and its performance is reported.


Locating emergency vehicles with an approximate queueing model and a meta-heuristic solution ap- proach
Akdoğan, Muharrem Altan; Bayındır, Zeynep Pelin; İyigün, Cem (2016-07-05)
In this study, the problem of optimal location decision of Emergency Service (ES) vehicles such as ambulances, fire trucks and patrols as a server-to-customer service is discussed. Hypercube queueing model (HQM) are employed to achieve performance measures that are sig- nificant to the location decision of ES vehicles. As an extension of this model, Spatial Queueing Model (SQM) is introduced for spatial networks. This study proposes a generalization of SQM for complete networks. Districting of the demand re...
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Management of smooth-functioning Emergency Medical Services (EMS) along with efficient and effective utilization of ambulances which are an essential part of this service is of vital importance. Selecting the suitable location of ambulance stations and the allocation of ambulances to their corresponding stations are important decisions which directly affect the quality of response to an emergency case. In this study, an integrated optimization and simulation approach is proposed so as to determine the size ...
A Genetic algorithm for healthcare facility location problem
İşbilir, Melike; Bayındır, Zeynep Pelin; İyigün, Cem; Department of Industrial Engineering (2016)
In this study, we consider the problem of locating emergency healthcare facilities in urban areas. Upon emergency occurrence, patients are directed to any one of the emergency centers with a likelihood that depends on the travel time. Moreover, the survival, that represents the severity of the consequences of the emergency situation, is also probabilistic and is a function of the travel time. A mathematical model is constructed under the objective of maximizing expected number of survivors while determining...
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The number of traffic accidents involving road ambulances is increasing. This situation increases the risk of death and injury of the patients and healthcare workers transported in the patient transport cabin of the road ambulances. Therefore, providing a safer environment for these occupants has become important. Medical devices, drawers, stretcher systems used in the road ambulances should be secured to avoid endangering safety of the occupants. The conformity of the fixing systems designed for this purpo...
A genetic algorithm for the multi-level maximal covering ambulance location problem
Karaman, Mesut; Meral, Fatma Sedef; Department of Industrial Engineering (2008)
The emergency medical services (EMS) provide the preliminary assistance and transportation for patients in need of urgent medical care in order to decrease the mortality rate and reduce the non-reversible effects of injuries. Since the objective is directly related to the human life, the value of the proposed solutions in order to improve the performance of EMS is highly welcomed. Mainly, there are three problems that EMS managers face with: location, allocation and redeployment of the EMS facilities/vehicl...
Citation Formats
M. A. Akdoğan, “Locating EMS vehicles in general networks with an approximate queueing model and a metaheuristic solution approach,” M.S. - Master of Science, Middle East Technical University, 2015.