This thesis deals with the case of a maritime port in which container terminals are cooperating to provide better global service. In order to coordinate operations between the terminals, a model and several solving methods are proposed. The objective is to minimize turnaround times of mother and feeder vessels, barges and trains. A solution to the model provides an assignment of container-transport vehicles to the terminals, including trucks, as well as an allocation of resources and time intervals to handle them and their containers. To obtain solutions to the model, a mixed-integer programming formulation is provided, as well as several mathematical programming based heuristics. A rolling horizon framework is introduced for dynamic management under uncertainty. Numerical experiments are conducted on thousands of various realistic instances. Results indicate the viability of our approach and demonstrate that allowing cooperation between terminals significantly increases the performance of the system.
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