Bi-objective optimization model for integrated planning in container terminal operations

In this paper, we studied an integrated planning optimization model in container operations consisting of tactical and operational level decisions. At the tactical level decision, integration planning includes berth allocation problem, quay crane assignment problem and yard allocation planning. These tactical level decisions are integrated with quay crane scheduling which is an operational level decision at the container terminal. Integration of planning in container terminals is needed because the decision on berth allocation, namely berthing position and berthing time in seaport, is highly dependent on the decision of reserved sub-blocks positions in container yard allocation, the number of quay cranes assigned to each vessel and its scheduling on each vessel bays. This integrated planning decision optimization has two objective functions; namely: (i) minimizing total operational cost, and (ii) maximizing service level. Numerical experiments have been carried out to obtain total cost efficiency and maximum service level resulting from the proposed optimization mode