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Time-Dependent Ambulance Deployment and Shift Scheduling of Crews

In: Operations Research Proceedings 2015

Author

Listed:
  • Lara Wiesche

    (Ruhr University Bochum)

Abstract

For patients requesting emergency medical services (EMS) in a life-threatening emergency, the probability of survival is strongly related to the rapidness of assistance. An especially challenging task for planners is to allocate limited resources while managing increasing demand for services. The provision of sufficient staff resources for the ambulances has great impact on the initial treatment of patients and thus on the quality of emergency services. Data-driven empirically required ambulance location planning as well as the allocation of staff for these vehicles are successively optimized in the proposed approach to support emergency medical service decision makers. According to the identified problem structure, an integer linear programming model is proposed. An exemplary case study based on real-world data demonstrates how this approach can be used within the emergency medical service planning process.

Suggested Citation

  • Lara Wiesche, 2017. "Time-Dependent Ambulance Deployment and Shift Scheduling of Crews," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 591-596, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_80
    DOI: 10.1007/978-3-319-42902-1_80
    as

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