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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2017
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| Subjects: | |
| Online Access: | http://eprints.usm.my/36793/1/%28Analysis_of_MCLP%2C_Q-MALP%29_2364254.pdf http://eprints.usm.my/36793/ https://doi.org/10.1155/2017/2364254 |
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| Summary: | 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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