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Multi-Layer Scheduling Optimization for Intelligent Mobility of Maritime Operation

机译:海上作战智能机动的多层调度优化

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In this study, multi-layer scheduling optimization algorithms are proposed and validated based on historical vessel operation data in maritime terminals. The most relevant KPIs are average wait time, average turnaround time and berth occupancy rate presented in this study. Through the proposed optimization algorithms, the results shown that average wait time and turnaround time are significantly reduced with increasing of randomness threshold, which is a threshold to allow reschedules to buffer terminals. The average wait time and turnaround time are shortened by around 27.30 hrs (by 39.06%) and 39.41 hrs (by 27.18%), respectively. The berth occupancy rate of less utilized buffer terminals is also improved from 21.39% to 38.35%.
机译:本研究基于海上码头历史船舶运行数据,提出并验证了多层调度优化算法。这项研究中最相关的KPI是平均等待时间,平均周转时间和泊位占用率。通过提出的优化算法,结果表明,平均等待时间和周转时间随着随机性阈值的增加而显着减少,随机性阈值是允许重新安排到缓冲终端的阈值。平均等待时间和周转时间分别缩短了约27.30小时(减少了39.06%)和39.41小时(减少了27.18%)。利用率较低的缓冲端子的泊位占用率也从21.39%提高到38.35%。

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