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Mathematical modelling of container transfers and storage locations at seaport terminals

In: Container Terminals and Cargo Systems

Author

Listed:
  • Erhan Kozan

    (Queensland University of Technology)

  • Peter Preston

    (Queensland University of Technology)

Abstract

This paper models the seaport system with the objective of determining the optimal storage strategy and container-handling schedule. It presents an iterative search algorithm that integrates a container-transfer model with a container-location model in a cyclic fashion to determine both optimal locations and corresponding handling schedule. A genetic algorithm (GA), a tabu search (TS) and a tabu search/genetic algorithm hybrid are used to solve the problem. The implementation of these models and algorithms are capable of handling the very large problems that arise in container terminal operations. Different resource levels are analysed and a comparison with current practise at an Australian port is done.

Suggested Citation

  • Erhan Kozan & Peter Preston, 2007. "Mathematical modelling of container transfers and storage locations at seaport terminals," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 87-105, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-49550-5_5
    DOI: 10.1007/978-3-540-49550-5_5
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    Cited by:

    1. Liu, Changchun, 2020. "Iterative heuristic for simultaneous allocations of berths, quay cranes, and yards under practical situations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

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