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A SIMULATION AND ONLINE OPTIMIZATION APPROACH FOR THE REAL-TIME MANAGEMENT OF AMBULANCES

R. Aringhieri,Simone Bocca,Luigi Casciaro,Davide Duma

Published 2018 in Online World Conference on Soft Computing in Industrial Applications

ABSTRACT

Emergency Medical Service is one of the most important health care services as it plays a vital role in saving people’s lives and reducing the rate of mortality and morbidity. A peak of emergency demand can determine overcrowding at the emergency department. In this operative context, a challenge is the definition of proper real-time dispatching, routing and redeployment policies (DRRP) in such a way to maximize the number of emergency requests served within a time threshold, and to minimize the waiting times. The contribution of this paper is twofold. The former is a simulation model capable to deal with the real-time management of the ambulances, and to generate new ad hoc instances. The latter is a set of simple online algorithms to implement several DRRP. An extensive comparison among different DRRP is also provided.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    Online World Conference on Soft Computing in Industrial Applications

  • Publication date

    2018-12-01

  • Fields of study

    Medicine, Computer Science, Engineering

  • Identifiers
    DOI 10.5555/3320516.3320820
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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