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Simulation Modelling of Ship-Berth Link With Priority Service

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Maritime Economics & Logistics Aims and scope

Abstract

Simulation of the logistics activities related to the arrival, berthing, service and departure processes of ships in container ports can be carried out for different goals such as design of ship-berth link, increase productivity and efficiency of quay cranes, analysis and planning of operations at the ship-berth link, etc. These logistics activities are particularly complex and very costly since they require the combined use of expensive infrastructure capacities especially berths and quay cranes. Ship-berth link as a main port link is required to serve ships as quickly as possible. Thus, in order to successfully design and develop ship-berth link in a container port and utilise it as efficiently as possible, it is necessary to develop a simulation model that will support decision-making processes of terminal managers. The results, analysis and conclusions given in this paper are intended to provide guidance on achieving time efficiency and accuracy in the modelling of ship-berth link and calibration of ship-berth link simulation models for Pusan East Container Terminal (PECT).

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Acknowledgements

We are grateful to Professor Hercules Haralambides and the referees for their constructive comments and helpful suggestions.

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Authors and Affiliations

  1. Maritime Faculty, University of Montenegro, Dobrota 36, Kotor, 85330, Serbia, Montenegro

    Branislav Dragović & Vladislav Maraš

  2. Department of Distribution Management, Tongmyong University of Information Technology, 535, Yongdang-dong, Nam-gu, Busan, 608-711, Korea

    Nam Kyu Park

  3. Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, 11000, Vojvode Stepe 305, Serbia, Montenegro

    Zoran Radmilović

Authors
  1. Branislav Dragović
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  2. Nam Kyu Park
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  3. Zoran Radmilović
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  4. Vladislav Maraš
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Dragović, B., Park, N., Radmilović, Z. et al. Simulation Modelling of Ship-Berth Link With Priority Service. Marit Econ Logist 7, 316–335 (2005). https://doi.org/10.1057/palgrave.mel.9100141

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  • DOI: https://doi.org/10.1057/palgrave.mel.9100141

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