Truck arrival management (TAM) has been recognized as an effective solution to alleviate the gatecongestion at container terminals. To further utilize TAM in improving the overall terminal performance,this study integrates TAM with the other terminal operations at a tactical level. An integrated planningmodel and a sequential planning model are presented to coordinate the major terminal planning activities,including quayside berth allocation, yard storage space allocation and TAM. A heuristic-based geneticalgorithm is developed to solve the models. A range of numerical examinations are performed to comparetwo planning models. The result shows that: the integrated model can improve the terminal performancesignificantly from the sequential model alone, particularly when the gate capacity and the yard capacityare relatively low; whereas the sequential model is more efficient than the integrated model in terms ofcomputational time.
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