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

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 L...

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Bibliographic Details
Main Authors: Abdul Ghani, Noraida (Author), Ahmad, Norazura (Author)
Format: Article
Language:English
Published: Hindawi Publishing Corporation, 2017.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Abdul Ghani, Noraida  |e author 
700 1 0 |a Ahmad, Norazura  |e author 
245 0 0 |a Analysis of MCLP, Q-MALP, and MQ-MALP with Travel Time Uncertainty Using Monte Carlo Simulation 
260 |b Hindawi Publishing Corporation,   |c 2017. 
856 |z Get fulltext  |u http://eprints.usm.my/36793/1/%28Analysis_of_MCLP%2C_Q-MALP%29_2364254.pdf 
520 |a 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. 
546 |a en 
650 0 4 |a LC5800-5808 Distance education.