Analysis of MCLP, Q-MALP, and MQ-MALP with Travel Time Uncertainty Using Monte Carlo Simulation

Abdul Ghani, Noraida and Ahmad, Norazura (2017) Analysis of MCLP, Q-MALP, and MQ-MALP with Travel Time Uncertainty Using Monte Carlo Simulation. Journal of Computational Engineering, 2017 (236425). pp. 1-15. ISSN 2356-7260

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Abstract

This paper compares the application of theMonte Carlo simulation in incorporating travel time uncertainties in ambulance location problem using three models: Maximum Covering Location Problem (MCLP), Queuing Maximum Availability Location Problem (Q-MALP), andMultiserver QueuingMaximum Availability Location Problem (MQ-MALP). A heuristic method is developed to site the ambulances.The models are applied to the 33-node problem representing Austin, Texas, and the 55-node problem. For the 33-node problem, the results showthat the servers are less spatially distributed in Q-MALP andMQ-MALPwhen the uncertainty of server availability is considered using either the independent or dependent travel time. On the other hand, for the 55-node problem, the spatial distribution of the servers obtained by locating a server to the highest hit node location is more dispersed inMCLP and Q-MALP.The implications of the new model for the ambulance services system design are discussed as well as the limitations of the modeling approach.

Item Type:	Article
Additional Information:	Article ID 2364254
Subjects:	L Education > LC Special aspects of education > LC5800-5808 Distance education.
Divisions:	Pusat Pengajian Pendidikan Jarak Jauh (School of Distance Education) > Article
Depositing User:	Mr Noorazilan Noordin
Date Deposited:	10 Jan 2018 01:51
Last Modified:	10 Jan 2018 01:51
URI:	http://eprints.usm.my/id/eprint/38319

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