Integrated Optimization of Berth Allocation and Quay Crane Assignment under Uncertainty

Abstract

In order to alleviate the freight pressure of the terminal, improve the operational efficiency of the terminal, find out and cope with the adverse effects brought by various uncertain factors on berth and quay cranes allocation, a scenario-based stochastic programming model with uncertain arrival time and container handling volume is formulated. Based on the actual operations of the terminal, the relevant numerical experiments were designed, and they were solved by CPLEX. The experimental results showed that the proposed integrated optimization model is valid in dealing with uncertainties. Meanwhile, it is found that the greater the arrival time fluctuation or the container volume fluctuation, the greater the impact on the plan. And the impact of time fluctuation is greater than that of container volume fluctuation. The relevant study results have practical significance in guiding the integrated optimization of berth and quay cranes allocation under uncertainty.