Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Locating EMS vehicles in general networks with an approximate queueing model and a metaheuristic solution approach
Download
index.pdf
Date
2015
Author
Akdoğan, Muharrem Altan
Metadata
Show full item record
Item Usage Stats
189
views
90
downloads
Cite This
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.
Subject Keywords
Hospitals
,
Ambulance service.
,
Genetic algorithms.
URI
http://etd.lib.metu.edu.tr/upload/12619228/index.pdf
https://hdl.handle.net/11511/25034
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
An Integrated optimization and simulation approach for the ambulance location problem
Şahin Macit, Medine; Meral, Fatma Sedef; Department of Industrial Engineering (2015)
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 ...
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...
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...
STOCHASTIC EMERGENCY MEDICAL SERVICE VEHICLE LOCATION PROBLEM: EQUITY, PERFORMANCE EVALUATION AND MATHEMATICAL MODELS
Akdoğan, Muharrem Altan; Bayındır, Zeynep Pelin; İyigün, Cem; Department of Industrial Engineering (2023-1-23)
In this thesis, emergency medical service (EMS) vehicle location problem with uncertainties in demand, travel times, and incident handling time is studied in three layers. The performance measures of EMS systems are evaluated with discrete event simulation models due to the uncertainties incorporated. Firstly, we focus on the equity in service quality resulting from vehicle location decisions in emergency medical services. We address the unbalanced service quality among regions with respect to various mathe...
Developing test procedure and design of fixture for dynamic test of road ambulances
Kaya, Sinan; Gökler, Mustafa İlhan; Department of Mechanical Engineering (2019)
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...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.