Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem

Emergency Medical Services (EMS) in Malaysia was categorized as underdeveloped emergency care system in 1990s. This was due to the lack of specialty in emergency medical systems and academic activities. By 2007, EMS in Malaysia has been significantly improved and is categorized as in developing phas...

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Main Author:	Wan Md. Hatta, Wan Ahmad Lutfi
Format:	Thesis
Language:	English
Published:	2014
Subjects:	RA Public aspects of medicine
Online Access:	http://eprints.utm.my/id/eprint/48552/1/WanAhmadLutfiWanMdMFKE2014.pdf
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id	my-utm-ep.48552
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spelling	my-utm-ep.485522017-08-14T00:15:26Z Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem 2014 Wan Md. Hatta, Wan Ahmad Lutfi RA Public aspects of medicine Emergency Medical Services (EMS) in Malaysia was categorized as underdeveloped emergency care system in 1990s. This was due to the lack of specialty in emergency medical systems and academic activities. By 2007, EMS in Malaysia has been significantly improved and is categorized as in developing phase. In October 2007, Malaysia Emergency Response Services 999 was introduced to combine several emergency service numbers as one emergency number 999. However, Malaysia is still lack of academic contribution in EMS optimization research. One of the ways to improve the efficiency of EMS delivery is the application of ambulance location model. The ambulance location model is used to find the best locations to place ambulances. In this research, a grid map based on Johor Bahru population is created. Euclidean distance is used as distance measurement in the map. Two ambulance location models, Maximal Coverage Location Problem (MCLP) and Gradual Coverage Location Problem (GCLP) are developed, and strategic ambulance location sites in the developed map are solved using Particle Swarm Optimization algorithm. The performances of both models are then measured using the developed simulator by analyzing ambulance response time, simulation coverage, total travel distance and ambulance preparedness. Different settings including current Johor Bahru EMS settings are simulated using the simulator. By using the simulator, advantages and disadvantages of different models are successfully addressed. Simulation results show that EMS setting in Johor Bahru is the least optimized and in most cases, GCLP is better than MCLP. For the deployment of 7 ambulances at 10 km coverage radius, the ambulance response time for setting GCLP is 5.5 minutes, which is lower than setting MCLP (7.4 minutes), and setting hospital (7.02 minutes). 2014 Thesis http://eprints.utm.my/id/eprint/48552/ http://eprints.utm.my/id/eprint/48552/1/WanAhmadLutfiWanMdMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:79416?queryType=vitalDismax&query=Optimization+of+ambulance+location+model+using+maximal+coverage+location+problem+and+gradual+coverage+location+problem&public=true masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	RA Public aspects of medicine
spellingShingle	RA Public aspects of medicine Wan Md. Hatta, Wan Ahmad Lutfi Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
description	Emergency Medical Services (EMS) in Malaysia was categorized as underdeveloped emergency care system in 1990s. This was due to the lack of specialty in emergency medical systems and academic activities. By 2007, EMS in Malaysia has been significantly improved and is categorized as in developing phase. In October 2007, Malaysia Emergency Response Services 999 was introduced to combine several emergency service numbers as one emergency number 999. However, Malaysia is still lack of academic contribution in EMS optimization research. One of the ways to improve the efficiency of EMS delivery is the application of ambulance location model. The ambulance location model is used to find the best locations to place ambulances. In this research, a grid map based on Johor Bahru population is created. Euclidean distance is used as distance measurement in the map. Two ambulance location models, Maximal Coverage Location Problem (MCLP) and Gradual Coverage Location Problem (GCLP) are developed, and strategic ambulance location sites in the developed map are solved using Particle Swarm Optimization algorithm. The performances of both models are then measured using the developed simulator by analyzing ambulance response time, simulation coverage, total travel distance and ambulance preparedness. Different settings including current Johor Bahru EMS settings are simulated using the simulator. By using the simulator, advantages and disadvantages of different models are successfully addressed. Simulation results show that EMS setting in Johor Bahru is the least optimized and in most cases, GCLP is better than MCLP. For the deployment of 7 ambulances at 10 km coverage radius, the ambulance response time for setting GCLP is 5.5 minutes, which is lower than setting MCLP (7.4 minutes), and setting hospital (7.02 minutes).
format	Thesis
qualification_level	Master's degree
author	Wan Md. Hatta, Wan Ahmad Lutfi
author_facet	Wan Md. Hatta, Wan Ahmad Lutfi
author_sort	Wan Md. Hatta, Wan Ahmad Lutfi
title	Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
title_short	Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
title_full	Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
title_fullStr	Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
title_full_unstemmed	Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
title_sort	optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48552/1/WanAhmadLutfiWanMdMFKE2014.pdf
_version_	1747817418290364416

Optimization of ambulance location model using maximal coverage location problem and gradual coverage location problem

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