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Special Issue on Latin-American Research: A Time Based Discretization Approach for Ship Routing and Scheduling with Variable Speed

机译:拉丁美洲研究的特刊:一种基于时间的变速船舶调度与离散化方法

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In this paper we develop a network based model for the routing and scheduling of a heterogeneous tramp fleet. The objective of the problem is to serve a known set of single trip cargo contracts, observing time window constraints at both origin and destination of cargoes, while minimizing total operating cost. A distinctive aspect of the methodology is that time windows for picking and delivering cargoes are discretized. This approach allows for a broad variety of features and practical constraints to be implicitly included in the model. In particular, we consider problems where navigation speed can be used to control fuel consumption, which is a main operating cost in ocean shipping. We performed a computational study on three set of fifteen problem instances each, involving 30, 40 and 50 cargoes per instance, respectively. Each problem instance was solved with two fleet sizes, three levels of discretization, and with constant and variable speed. The numerical results show that our model presents a much better trade-off between solution quality and computing time than a similar constant speed continuous model. For example, discretizing the time windows in as few as 3 points, we obtained solutions that in average were no more than 0,8% worse than the best solution found by the continuous model. Computing time, on the other side, decreased in at least two orders of magnitude. The results also confirm that significant benefits might be obtained by incorporating the navigation speed as a controllable variable in the model.
机译:在本文中,我们开发了一个基于网络的模型,用于异构流浪舰队的路由和调度。该问题的目的是为一组已知的单程货物合同提供服务,同时在货物始发地和目的地均遵守时间窗口约束,同时将总运营成本降至最低。该方法的一个独特方面是,提取和运送货物的时间窗口是离散的。这种方法允许将各种功能和实际约束隐式包含在模型中。特别是,我们考虑了可以使用导航速度来控制燃油消耗的问题,这是海洋运输的主要运营成本。我们对15个问题实例的三组进行了计算研究,每个实例分别涉及30、40和50件货物。每个问题实例都通过两个车队规模,三个离散级别以及恒定和可变速度来解决。数值结果表明,与类似的恒速连续模型相比,我们的模型在求解质量和计算时间之间呈现出更好的折衷。例如,将时间窗离散到最少3个点,我们得到的解决方案平均比连续模型找到的最佳解决方案差0.8%。另一方面,计算时间至少减少了两个数量级。结果还证实,通过将导航速度纳入模型中的可控制变量,可以获得显着的收益。

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