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首页> 外文期刊>International journal of information systems for crisis response and management >Assignments of Collaborative Rescue Units during Emergency Response
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Assignments of Collaborative Rescue Units during Emergency Response

机译:应急响应期间的协同营救单位分配

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Decision support systems play an increasingly important role in disaster management research. Coordination of rescue units during disaster response is one of the many areas which may benefit from this development. Time pressure, resource shortages, different capabilities of rescue units and the interdependence of scheduling and allocation tasks belong to the key challenges which emergency operation centers have to cope with. This paper proposes a non-linear optimization model and suggests a Monte Carlo-based heuristic solution procedure. The authors computationally benchmark their heuristic with a procedure that is applied in practice. Results of the authors 'study show that the Monte-Carlo heuristic is superior to the state-of-the art approach in terms of aggregated harm by up to 40%. However, the authors 'simulations also reveal that the time their heuristic needs to process medium-sized instances (100 incidents, 50 rescue units) on a PC is a few hours and that more powerful real-time computing capabilities are required.
机译:决策支持系统在灾难管理研究中扮演着越来越重要的角色。灾后救援单位的协调是可能受益于这一发展的众多领域之一。时间压力,资源短缺,救援单位的不同能力以及调度和分配任务的相互依存性是紧急行动中心必须应对的主要挑战。本文提出了一个非线性优化模型,并提出了一种基于蒙特卡洛的启发式求解程序。作者通过实际应用的程序在计算上对他们的启发式进行基准测试。作者的研究结果表明,就总伤害而言,蒙特卡洛启发式方法优于最新方法,最多可提高40%。但是,作者的模拟还显示,他们在PC上处理中型实例(100个事件,50个救援单元)的启发式需求需要花费几个小时,并且需要更强大的实时计算功能。

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