大规模伤亡事件应对流程的前摄性调度优化
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  • 英文篇名:Proactive Scheduling Optimization of Emergency Response in Mass Casualty Incident
  • 作者:初翔 ; 仲秋雁 ; 曲毅
  • 英文作者:CHU Xiang;ZHONG Qiu-yan;QU Yi;School of Management Science and Engineering,Dalian University of Technology;Dalian Institute of Software and Services Outsourcing;
  • 关键词:应急管理 ; 伤员救治前摄性调度 ; 柔性作业车间调度 ; 遗传算法 ; 死亡人数
  • 英文关键词:emergency management;;proactive scheduling optimization of triage;;flexible job shop scheduling;;genetic algorithm;;fatalities
  • 中文刊名:YCGL
  • 英文刊名:Operations Research and Management Science
  • 机构:大连理工大学管理科学与工程学院;大连市软件和服务外包发展研究院;
  • 出版日期:2014-12-25
  • 出版单位:运筹与管理
  • 年:2014
  • 期:v.23;No.117
  • 基金:国家自然科学基金重点资助项目(91024029)
  • 语种:中文;
  • 页:YCGL201406003
  • 页数:5
  • CN:06
  • ISSN:34-1133/G3
  • 分类号:11-15
摘要
以死亡人数最少化为目标,研究大规模伤亡事件应对流程的前摄性调度优化问题。首先,使用伤情等级和伤情随机转化的马尔可夫链,建立伤员死亡概率与伤员处置时间的函数关系。随后,将研究问题转化为柔性作业车间静态调度问题,并设计遗传算法求解。最后用一个随机算例对算法进行仿真,结果表明:该算法可行有效;与现有研究中救援时间最短化的调度方法相比,伴随着可接受的救援时间跨度增加,该方法可大幅降低救援过程中的死亡人数。本文研究有助于决策者优化应急救援过程,有效减少死亡人员数量。
        This paper investigates proactive scheduling optimization problem of emergency response,with fatalities minimization as objective. First,triage levels and its stochastic Markov Chain are introduced,to establish function from rescued time to probability of death. Then we translate proposed problem to a proactive job shop scheduling problem,and design a genetic algorithm to find solution. Finally,a simulation experiment is done,and it shows: the algorithm works feasibly and efficiently; although makespan increases,the proposed scheduling reduces number of fatalities significantly comparing to min-makespan scheduling. The research in this paper can provide decision supports for the organization and coordination of emergency response.
引文
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