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Abstract
Railway container terminals, where gantry cranes are responsible for loading and unloading containers between freight trains and yards, are important hubs of hinterland logistics transportation. Terminal managers confront the challenge in improving the efficiency of their service. As the most expensive equipment in a terminal, the operational performance of gantry cranes is a crucial factor. In this paper, the gantry crane scheduling problem of railway container terminals is investigated. A mixed integer programming model which considers the effect of dwelling position dependent processing times is formulated. In addition, the safety distances, the travel times and the non-crossing requirement of cranes are incorporated in the mathematical model. A novel discrete artificial bee colony algorithm is presented to solve the intractable scheduling problem. Computational experiments are conducted to evaluate the proposed algorithm on some randomly constructed instances based on typical terminal operational data. Experimental results show that the proposed approach can obtain near optimal solutions for the investigated problem in a reasonable computational time.
