Real-Time Disruption Recovery for Integrated Berth Allocation and Crane Assignment in Container Terminals

Abstract

This paper studies disruption recovery optimization for the integrated berth allocation and quay crane assignment problem in container terminals. The proposed reactive recovery strategy adjusts the initial plan to handle realistic disruptions. In the proposed recovery strategy, new berthing positions for vessels are restricted within a certain space. Quay cranes are allowed to move to other vessels before finishing current assigned vessels. Vessels requiring early dispatch are particularly considered in recovery planning. A proposed nonlinear programming model maximizes the service quality and minimizes the recovery cost at the same time. A heuristic approach based on squeaky wheel optimization is developed to solve the model. Computational experiments are conducted to show the performance and effectiveness of the proposed model and solution method.