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01545 am a22001453u 4500 |
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38319 |
| 042 |
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|a dc
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|a Abdul Ghani, Noraida
|e author
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|a Ahmad, Norazura
|e author
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|a Analysis of MCLP, Q-MALP, and MQ-MALP with Travel Time Uncertainty Using Monte Carlo Simulation
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|b Hindawi Publishing Corporation,
|c 2017.
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| 856 |
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|z Get fulltext
|u http://eprints.usm.my/38319/1/Analysis_of_MCLP%2C_Q-MALP%2C_and_MQ-MALP_with_Travel.pdf
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|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.
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|a en
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|a LC5800-5808 Distance education.
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