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Vehicle routing and dispatching for emergency personnel evacuation from off-shore oil platforms

机译:车辆路由和调度从岸上油平台疏散的紧急人员疏散

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The vehicle routing (VR) and dispatching for emergency personnel evacuation (EPE) from off-shore oil platforms is a complex and very important problem for the oil and gas industry. Frequently, the emergency evacuation plan has to be modified due to uncertain data and the occurrence of an event. Therefore, the personnel inventory control and scheduling algorithms must be able to take into account uncertainty. In this work, this system is divided into inventories and jobs i.e., loading, unloading, and transportation, and the EPE problem is solved optimizing a transportation capacitated network which is coupled to a set of parallel plants (platforms), where each plant has two processes. In this system, the platforms are served using a dispatching rule, and the VR and dispatching is done solving a mixed-integer nonlinear programming problem (MINLP) each time an event occurs. This approach is illustrated with a case study of a six-vehicle, eight-platform, off-shore oil platform system. Although small, this case study preserves the main characteristics of a real complex since it includes different vehicle types (boats and helicopters), and different platform and vehicle capacities.
机译:车辆路线(VR)和从离岸石油平台的紧急人员疏散(EPE)的调度是石油和天然气工业的复杂和非常重要的问题。通常,由于数据不确定和事件的发生,必须修改紧急疏散计划。因此,人员库存控制和调度算法必须能够考虑不确定性。在这项工作中,该系统被分为库存和作业,即加载,卸载和运输,并解决了EPE问题,并解决了耦合到一组平行植物(平台)的运输电容网络,每个工厂有两个流程。在该系统中,使用调度规则服务平台,并且每次发生事件时都会完成求解混合整数非线性编程问题(MINLP)的VR和调度。用六辆八个平台的离岸石油平台系统的案例研究说明了这种方法。虽然小,这种情况研究保留了真正复杂的主要特征,因为它包括不同的车辆类型(船和直升机)和不同的平台和车辆容量。

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