论文标题
优化油轮终端的协调时间表：智能的大型时空数据驱动方法 - 第2部分
Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2
论文作者
论文摘要
在这项研究中，提出了一种新型的协调调度优化方法，以通过减少加权平均周转时间来提高端口效率。所提出的方法是通过使用每周滚动范围范式方法的不同观察窗口应用和研究的一种启发式算法。实验结果表明，所提出的方法是有效的，有望减轻血管周转时间。结果表明，最大的周转时间（加权平均值）的潜在节省最大的节省约为17小时（28％）1周观察的基线，而基线为2周观察到的基线为45小时（37％），而3周观察基线的基线减少了70小时（40％）。尽管实验结果基于历史数据集，但如果在二次计算复杂性下应用实时应用程序，则结果可能会带来显着的好处。
In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing weighted average turnaround time. The proposed approach is developed as a heuristic algorithm applied and investigated through different observation windows with weekly rolling horizon paradigm method. The experimental results show that the proposed approach is effective and promising on mitigating the turnaround time of vessels. The results demonstrate that largest potential savings of turnaround time (weighted average) are around 17 hours (28%) reduction on baseline of 1-week observation, 45 hours (37%) reduction on baseline of 2-week observation and 70 hours (40%) reduction on baseline of 3-week observation. Even though the experimental results are based on historical datasets, the results potentially present significant benefits if real-time applications were applied under a quadratic computational complexity.
