The optimization of berth operations in maritime container terminals requires decision makers to analyze multiple factors whose precise values are difficult to estimate in advance. Among the different problems to deal with, the quay crane scheduling problem has attracted the attention of many researchers since quay cranes are one of the most valuable resources in the port. Many proposals based on optimization algorithms have faced this problem but the vast majority disregard the uncertainty inherent to this kind of systems. This paper presents a new simulation-optimization approach that combines a robust optimization algorithm to generate high quality schedules for the cranes, with a simulation model that incorporates uncertainty and the impact of internal delivery vehicles. The joint use of these tools provides the decision makers with enhanced information to choose better solutions for everyday situations.
