Abstract
This paper models the seaport system with the objective of determining the optimal storage strategy for various container-handling schedules. A container location model (CLM) is developed, with an objective function designed to minimise the turn around time of container ships, and solved using genetic algorithm (GA). The results section presents an analyses of different resource levels and a comparison with current practice at the Port of Brisbane. Scope and purpose Berthing time of a container carrying ship accounts for a considerable proportion of its journey. Shipping lines are mainly concerned with the waiting time and berthing time of the ships at the port. This paper models the storage location of containers at a seaport with the view to minimising the transfer time to the ship. A genetic algorithm is used to find a solution to the model. Changes to the seaport infrastructure is considered and compared to the benchmark. This model can be used as an operation or planning tool to assess future developments.
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