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Resource Planning in Disaster Response: Decision Support Models and Methodologies

机译:灾害响应中的资源规划:决策支持模型和方法

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摘要

Managing the response to natural, man-made, and technical disasters is becoming increasingly important in the light of climate change, globalization, urbanization, and growing conflicts. Sudden onset disasters are typically characterized by high stakes, time pressure, and uncertain, conflicting or lacking information. Since the planning and management of response is a complex task, decision makers of aid organizations can thus benefit from decision support methods and tools. A key task is the joint allocation of rescue units and the scheduling of incidents under different conditions of collaboration. The authors present an approach to support decision makers who coordinate response units by (a) suggesting mathematical formulations of decision models, (b) providing heuristic solution procedures, and (c) evaluating the heuristics against both current best practice behavior and optimal solutions. The computational experiments show that, for the generated problem instances, (1) current best practice behavior can be improved substantially by our heuristics, (2) the gap between heuristic and optimal solutions is very narrow for instances without collaboration, and (3) the described heuristics are capable of providing solutions for all generated instances in less than a second on a state-of-the-art PC.
机译:鉴于气候变化,全球化,城市化和冲突不断加剧,管理对自然,人为和技术灾难的响应变得越来越重要。突发性灾难通常具有高风险,时间压力以及不确定,冲突或缺乏信息的特点。由于响应的计划和管理是一项复杂的任务,因此,援助组织的决策者可以从决策支持方法和工具中受益。关键任务是联合分配救援单位,并在不同协作条件下安排事件的时间表。作者提出了一种支持决策者的方法,这些决策者通过(a)建议决策模型的数学公式;(b)提供启发式解决方案程序;以及(c)对照当前的最佳实践行为和最佳解决方案评估启发式方法。计算实验表明,对于所产生的问题实例,(1)通过我们的启发式方法可以大大改善当前的最佳实践行为;(2)对于没有协作的实例,启发式方法和最佳解决方案之间的差距非常狭窄;并且(3)所描述的启发式方法能够在最先进的PC上在一秒钟内为所有生成的实例提供解决方案。

著录项

  • 来源
    《Wirtschaftsinformatik》 |2015年第4期|243-259|共17页
  • 作者单位

    Department of Business Information Systems, University of Regensburg, Universitaetsstrasse 31, 93053 Regensburg, Germany;

    Department of Business Information Systems, University of Regensburg, Universitaetsstrasse 31, 93053 Regensburg, Germany;

    Department for ICT, Faculty of Engineering and Science, Centre for Integrated Emergency Management (CIEM), University of Agder, Serviceboks 509, 4898 Grimstad, Norway;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Disaster response; Decision support; Optimization; Resource allocation; Scheduling; Collaboration;

    机译:灾难响应;决策支持;优化;资源分配;排程;合作;
  • 入库时间 2022-08-17 23:25:33

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