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One of the success factors of a terminal is related to the time in port for the retrieval and transport of containers. Straddle carriers (SCs) are the pivotal axis around which the terminal transportation system evolves and the success or failure of that process is an indicator of the reliability of the container terminal. Over the last years, the deficiency of efficient control and coordination mechanisms in practice produced a relaxation of transportation principles. The valorization of the academic environment represents nowadays one of the most important research challenges. In this paper, we present a collaborative filtering recommender system able to manage the work schedule's assignment to straddle carrier's drivers in a container terminal and provide preliminary results on customer's satisfaction.

Abstract-This paper concentrates on minimizing the total travel time of the Straddle Carrier during the loading operations of outbound containers in a seaport container terminal. Genetic Algorithm is well-known meta-heuristic approach inspired by the natural evolution of the living organisms. Heuristic procedure is developed to solve this problem by recourse to some genetic operators. A numerical experimentation is carried out in order to evaluate the performance and the efficiency of the solution.