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Robust cyclic berth planning of container vessels

机译:集装箱船稳健的周期性泊位规划

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We consider a container terminal operator who faces the problem of constructing a cyclic berth plan. Such a plan defines the arrival and departure times of each cyclically calling vessel on a terminal, taking into account the expected number of containers to be handled and the necessary quay and crane capacity to do so. Conventional berth planning methods ignore the fact that, in practice, container terminal operator and shipping line agree upon an arrival window rather than an arrival time: if a vessel arrives within that window then a certain vessel productivity and hence departure time is guaranteed. The contributions of this paper are twofold. We not only minimize the peak loading of quay cranes in a port, but also explicitly take into account the arrival window agreements between the terminal operator and shipping lines. We present a robust optimization model for cyclic berth planning. Computational results on a real-world scenario for a container terminal in Antwerp show that the robust planning model can reach a substantial reduction in the crane capacity that is necessary to meet the window arrival agreements, as compared to a deterministic planning approach.
机译:我们考虑一个集装箱码头经营者,他面临着建造周期性泊位计划的问题。这样的计划考虑了要处理的集装箱的预期数量以及这样做所需的码头和起重能力,确定了每个周期性呼叫船在码头上的到达和离开时间。传统的泊位计划方法忽略了以下事实:实际上,集装箱码头运营商和航运公司同意到达窗口而不是到达时间:如果船只到达该窗口,则可以保证一定的船只生产率,从而可以保证出发时间。本文的贡献是双重的。我们不仅最小化港口中码头起重机的高峰负荷,而且明确考虑码头运营商与航运公司之间的到达窗口协议。我们为循环泊位计划提出了一个鲁棒的优化模型。在安特卫普的一个集装箱码头的实际场景中的计算结果表明,与确定性计划方法相比,健壮的计划模型可以显着减少满足窗口到达协议所需的起重机容量。

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