Abstract
Berths and quay cranes are the most critical resources in determining the capacity of container terminals. In order to utilize berths and quay cranes efficiently, this paper studies the integrated dynamic discrete berth allocation and quay crane assignment problem considering the cost balance. The objective of the proposed model is to reduce the total service cost, including the handling cost, the waiting cost, and the quay crane operation cost. Due to the inherent computation complexity, a genetic algorithm is designed to attain a near optimal solution. Computational experiments show that the proposed genetic algorithm is effective in solving the studied problem. The total service cost is influenced by the value of the cost balance.
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