Disruption recovery model for berth and quay crane scheduling in container terminals

This article addresses the problem of recovering berth and quay crane (QC) schedules in container terminals when disruptions occur after a subset of operations has been processed. Firstly, models for simultaneous optimization of berth and QC schedules are developed. Then, two strategies, namely, QC rescheduling strategy and berth reallocation strategy are proposed to tackle disruptions and recover the berth and QC schedule, and models for the two strategies are developed respectively. To solve the disruption recovery models, algorithms based on local rescheduling and tabu search are designed. Finally, numerical experiments are provided to illustrate the validity of the proposed model and algorithms.