摘要
针对突发事件下医院里应急资源供需不平衡的问题,进行了医院应急资源动态分配模型研究。考虑到病人数量增多以及病人伤情演变导致医院应急资源供应相对紧缺的现象,基于序贯决策理论,将病人需求的变化设计成一个马尔可夫决策过程,建立了医院应急资源动态分配模型。使用基本粒子群算法求解,通过某次地震发生后医院的救援实例进行分析。案例分析表明,马尔可夫决策过程可以动态地满足伤情演变下不同状态病人的需求,使得应急救援中整体的资源利用达到最优。
This paper studied the dynamic allocation model of hospital emergency resources in response to the imbalance between supply and demand of emergency resources in hospitals under emergencies.The emergency resource supply in the hospital was relatively scarce due to the increase in the number of patients and the evolution of the patient’s injury.Based on the sequential decision theory,this paper designed the changes of patient needs into a Markov decision process and established a dynamic allocation model of hospital emergency resources.Then the model was solved by using the basic particle swarm optimization algorithm,which was analyzed by a rescue example of the hospital after an earthquake.The case study shows that the Markov decision-making process can dynamically meet the needs of patients in different states under the evolution of injuries and make the overall resource utilization in emergency rescues to be optimal.
作者
万志远
刘勤明
叶春明
刘文溢
Wan Zhiyuan;Liu Qinming;Ye Chunming;Liu Wenyi(Business School,University of Shanghai for Science&Technology,Shanghai 200093,China)
出处
《计算机应用研究》
CSCD
北大核心
2020年第2期456-459,469,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(71471116,71271138)
国家教育部人文社会科学研究青年基金资助项目(15YJCZH096)
2018年度国家大学生创新创业训练计划资助项目(201810252012)
上海市自然科学基金资助项目(19ZR1435600).
关键词
突发事件
资源分配
伤情演变
序贯决策
马尔可夫过程
emergencies
resource allocation
evolution of injuries
sequential decision-making
Markov process
