Abstract
For a container terminal system, efficient yard crane (YC) schedules have great impact on the improvement of both operation efficiency and customer satisfaction. In this paper we address yard crane problem with uncertainties of vessels or trucks arrival time and container handling time. Vessels and trucks arrive dynamically with different service priorities and total number of handling containers is allowed to be changeable on current recording, adding more flexibility to the terminal system. A mixed integer programming model is proposed, and a simulation based Genetic Algorithm (GA) search procedure is applied to generate robust YC schedule proactively. Computational experiments are conducted to show the satisfied performance of our development method under uncertainty.
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