Scheduling Automated Guided Vehicles in Container Terminals Using Max-plus-linear Systems

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Abstract

In the highly competitive seaport industry, the optimization of operations in the container terminals is of great importance. The automated guided vehicles (AGVs) transport containers from the quay to the yard and vice versa. A max-plus-linear model is derived and by using a MILP formulation, the optimal schedule can be obtained. Due to the highly uncertain AGV travel times, a Monte Carlo algorithm is implemented to account for the perturbations in the system.

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