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Constructing Constraint-Based Simulation System for Creating Emergency Evacuation Plans: A Case of an Outpatient Chemotherapy Area at a Cancer Medical Center

机译：构建基于约束的仿真系统以创建紧急疏散计划：以癌症医疗中心的门诊化疗区域为例

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Making emergency evacuation plans for disaster prevention is always a high priority for hospital administrators to ensure the safety of patients and employees. This study employs the outpatient chemotherapy area of a cancer medical center as an example, and its area involves professional medical care and relatively complex human group behaviors. Hence, it is necessary to simulate evacuations in advance to formulate a special evacuation plan. To achieve this task, a constraint-based simulation system is developed with three major processes: defining spatial and activity constraints, agent-based modeling, and optimizing resource allocation. The spatial boundaries are converted from a three-dimensional model in the Building Information Modeling (BIM) to conduct a visualized simulation. Based on the spatial boundaries, the activities of the agents are set to obey the process specified by work studies. Finally, the Monte Carlo method is employed to simulate the stochastic rescue behaviors of nurses during disasters to determine the fittest resource allocation with the shortest evacuation time for different numbers of patients. The results reveal that the proposed system can output a suggested list of resource allocations and visualized results for administrators when making evacuation plans such that all the people in the area can be safely evacuated.
机译：制定紧急避难计划以防灾始终是医院管理员确保患者和员工安全的重中之重。本研究以癌症医疗中心的门诊化疗区域为例，该区域涉及专业医疗和相对复杂的人类行为。因此，有必要事先模拟疏散，以制定特殊的疏散计划。为了完成此任务，开发了一个基于约束的仿真系统，该系统具有三个主要过程：定义空间和活动约束，基于代理的建模以及优化资源分配。在建筑信息模型（BIM）中从三维模型转换空间边界，以进行可视化模拟。根据空间边界，将代理商的活动设置为服从工作研究指定的过程。最后，采用蒙特卡洛方法模拟灾难发生时护士的随机救援行为，以确定撤离时间最短的适合不同人数患者的最适资源分配。结果表明，提出的系统在制定疏散计划时可以为管理员输出建议的资源分配列表和可视化结果，从而可以安全疏散该地区的所有人员。

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