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An emergency vehicles allocation model for major industrial disasters

机译:重大工业灾害应急车辆分配模型

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One of the main issues in the event of a major industrial disaster (fire, explosion or toxic gas dispersion) is to efficacy manage emergencies by considering both medical and logistics issues. From a logistics point of view the purpose of this work is to correctly address critical patients from the emergency site to the most suitable hospitals. A Mixed Integer Programming (MIP) Model is proposed, able to determine the optimal number and allocation of emergency vehicles involved in relief operations, in order to maximize the number of successfully treated injured patients. Moreover, a vehicles reallocation strategy has been developed which takes into account the evolution of the patients health conditions. Alternative scenarios have been tested considering a dynamic version of the Emergency Vehicles Allocation Problem, in which patient health conditions evolves during the rescue process. A company located in Italy has been considered as case-study in order to evaluate the performance of the proposed methodology.
机译:在发生重大工业灾难(火灾,爆炸或有毒气体扩散)的情况下,主要问题之一是通过同时考虑医疗和物流问题来管理紧急情况。从后勤的角度来看,这项工作的目的是正确地处理从急救地点到最合适的医院的重症患者。提出了一种混合整数规划(MIP)模型,该模型能够确定参与救援行动的紧急车辆的最佳数量和分配,以使成功治疗的受伤患者数量最大化。此外,已经开发了一种车辆重新分配策略,该策略考虑了患者健康状况的发展。考虑到动态版本的“紧急车辆分配问题”,对替代方案进行了测试,其中在救援过程中会演变出患者的健康状况。一家位于意大利的公司被视为案例研究,以评估所提出方法的性能。

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