Due to high labour costs and difference of QC driver’s handling efficiency existing between day and night, factors concerning QC drivers can significantly impact the schedule of berth allocation and quay crane assignment. This paper tackles the berth allocation and quay crane assignment problem considering QC driver cost, difference of the operating efficiency and performance-related pay between day and night. How QC driver-related factors affect the schedules is analyzed, and the objective composition including QC driver cost is given. A mixed integer programming model with model acceleration algorithms is developed for the proposed problem, and a meta-heuristic framework including a three-stage algorithm is proposed for solving the problem. Numerical experiments are conducted to validate the effectiveness of the proposed model and performance of the meta-heuristic approach, leading to a multitude of managerial insights.

由于高昂的人工成本和昼夜QC驾驶员的处理效率差异，与QC驾驶员有关的因素会极大地影响泊位分配和码头起重机分配的时间表。本文考虑了QC驾驶员成本，昼夜工作效率差异和与绩效相关的报酬，解决了泊位分配和码头起重机分配问题。分析了质量控制驾驶员相关因素如何影响进度，并给出了包括质量控制驾驶员成本在内的目标构成。针对提出的问题，开发了具有模型加速算法的混合整数规划模型，并提供了一个元提出了一种包含三阶段算法的启发式框架来解决该问题。进行了数值实验，以验证所提出模型的有效性和元启发式方法的性能，从而产生了许多管理方面的见识。