Locating emergency vehicles with an approximate queueing model and a meta-heuristic solution approach

2016-06-03

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Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach
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In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicl...
Locating emergency vehicles with an approximate queueing model and a meta-heuristic solution ap- proach
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In this study, the problem of optimal location decision of Emergency Service (ES) vehicles such as ambulances, fire trucks and patrols as a server-to-customer service is discussed. Hypercube queueing model (HQM) are employed to achieve performance measures that are sig- nificant to the location decision of ES vehicles. As an extension of this model, Spatial Queueing Model (SQM) is introduced for spatial networks. This study proposes a generalization of SQM for complete networks. Districting of the demand re...
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Citation Formats
M. A. Akdoğan and C. İyigün, “Locating emergency vehicles with an approximate queueing model and a meta-heuristic solution approach,” presented at the European Conference on Operational Research, (03 - 06 Haziran 2016), Poznan, Polonya, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/75128.