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

机译:应急人员从海上石油平台撤离的车辆路线和调度

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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:对于海上石油平台而言,车辆路线(VR)和紧急人员疏散(EPE)的调度对于石油和天然气行业来说是一个复杂且非常重要的问题。通常,由于不确定的数据和事件的发生,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,该系统分为库存和工作,即装货,卸货和运输,并且通过优化与运输平行的网络(与一组并行工厂(平台)耦合)来解决EPE问题,其中每个工厂有两个流程。在此系统中,使用调度规则为平台提供服务,并且每次发生事件时,VR和调度都将解决混合整数非线性规划问题(MINLP)。通过六车八平台的海上石油平台系统的案例研究说明了这种方法。该案例研究虽然规模很小,但却保留了一个实际建筑群的主要特征,因为它包括不同的车辆类型(船和直升机)以及不同的平台和车辆容量。

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