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Analysis of Ambulance Location Models Using Discrete Event Simulation

Part of the Operations Research Proceedings book series (ORP)

Abstract

The quality of a rescue service system is typically evaluated ex post by the proportion of emergencies reached within a predefined response time threshold. Optimization models in literature consider different variants of demand area coverage or busy fractions and reliability levels as a proxy for Emergency Medical Service quality. But no comparisons of the mentioned models with respect to their real-world performance are found in literature. In this paper, the influence of these different model formulations on real-world outcome measures is analyzed by means of a detailed discrete event simulation study.

Keywords

  • Emergency Medical Service
  • Discrete Event Simulation
  • Demand Node
  • Emergency Medical Service System
  • Real World Case Study

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgments

This research is financially supported by Stiftung Zukunft NRW. The authors thank staff members of Feuerwehr und Rettungsdienst Bochum for providing detailed insights.

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Correspondence to Pascal Lutter .

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Lutter, P., Degel, D., Wiesche, L., Werners, B. (2016). Analysis of Ambulance Location Models Using Discrete Event Simulation. In: Lübbecke, M., Koster, A., Letmathe, P., Madlener, R., Peis, B., Walther, G. (eds) Operations Research Proceedings 2014. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-28697-6_53

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