The berth allocation and quay crane assignment problem (BACAP) is a complex port operation planning problem susceptible to uncertainties, such as vessel arrival time fluctuation to its estimated time of arrival and maritime markets. For promoting reliability and sustainability of container terminals, this paper addresses the optimization of BACAP under the uncertain vessels’ arrival times and fluctuation of loading and unloading volumes. We propose a proactive BACAP strategy considering minimum recovery cost under uncertainty using a reactive strategy. A stochastic programming model is formulated to minimize the basic cost in the baseline schedule, and the recovery cost in real uncertain scenarios. A two-stage meta-heuristic framework based on GA is developed for solving this problem. Numerical experiments and scenario analysis are conducted to validate the effectiveness of the proposed model and the proposed solution approaches.

中文翻译：

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不确定性下可持续泊位分配和码头起重机分配的综合主动和被动策略

泊位分配和码头起重机分配问题（BACAP）是一个复杂的港口运营规划问题，容易受到不确定性的影响，例如船舶到达时间与其预计到达时间和海运市场的波动。为了提高集装箱码头的可靠性和可持续性，本文讨论了在不确定的船舶到达时间和装卸量波动下的BACAP优化。我们提出了一种主动 BACAP 策略，考虑到使用反应策略在不确定性下的最小恢复成本。制定随机规划模型以最小化基线计划中的基本成本和实际不确定场景中的恢复成本。为了解决这个问题，开发了一种基于遗传算法的两阶段元启发式框架。