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A review of container terminal simulation models

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  • Panagiotis Angeloudis
  • Michael G. H. Bell

Abstract

Simulation has been an integral part of research and development work in container terminal operations. The sheer size of the facilities and the complexity of equipment used make it difficult to predict analytically how the terminal will operate under specific layouts and configurations. Control techniques which relate to the dynamic behaviour of the equipment are even more difficult to analyse and benchmark, therefore necessitating the presence of a tool that can replicate the behaviour of a real terminal. This paper provides an overview of the domain of container terminal simulation. It discusses several model classifications and presents technical concerns in their development. A review of academic container terminal models is conducted, which includes both models that have served as primary study objectives or simply as test-beds for work on terminal control/planning. These are classified where possible in accordance to the categories that have been previously identified. Finally, current trends in container terminal simulation are discussed, and recommendations are given on the design and selection of the approach to be employed on new models.

Suggested Citation

  • Panagiotis Angeloudis & Michael G. H. Bell, 2011. "A review of container terminal simulation models," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(5), pages 523-540, February.
    • Handle: RePEc:taf:marpmg:v:38:y:2011:i:5:p:523-540
    DOI: 10.1080/03088839.2011.597448
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    References listed on IDEAS

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    1. Dirk Briskorn & Sönke Hartmann, 2006. "Simulating Dispatching Strategies for Automated Container Terminals," Operations Research Proceedings, in: Hans-Dietrich Haasis & Herbert Kopfer & Jörn Schönberger (ed.), Operations Research Proceedings 2005, pages 97-102, Springer.
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    Cited by:

    1. Bart Wiegmans & Isle Menger & Behzad Behdani & Bart Arem, 2018. "Communication between deep sea container terminals and hinterland stakeholders: information needs and the relevance of information exchange," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 531-548, December.
    2. Gharehgozli, Amir Hossein & Vernooij, Floris Gerardus & Zaerpour, Nima, 2017. "A simulation study of the performance of twin automated stacking cranes at a seaport container terminal," European Journal of Operational Research, Elsevier, vol. 261(1), pages 108-128.
    3. Kastner, Marvin & Kämmerling, Nicolas & Jahn, Carlos & Clausen, Uwe, 2020. "Equipment selection and layout planning - Literature overview and research directions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 485-519, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    5. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    6. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    7. Cimpeanu, Radu & Devine, Mel T. & O’Brien, Conor, 2017. "A simulation model for the management and expansion of extended port terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 105-131.
    8. Lashkari, Shabnam & Wu, Yong & Petering, Matthew E.H., 2017. "Sequencing dual-spreader crane operations: Mathematical formulation and heuristic algorithm," European Journal of Operational Research, Elsevier, vol. 262(2), pages 521-534.
    9. Yavuz Keceli, 2016. "A simulation model for gate operations in multi-purpose cargo terminals," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(8), pages 945-958, November.
    10. Nishant Mishra & Debjit Roy & Jan-Kees van Ommeren, 2017. "A Stochastic Model for Interterminal Container Transportation," Transportation Science, INFORMS, vol. 51(1), pages 67-87, February.
    11. Tierney, Kevin & Voß, Stefan & Stahlbock, Robert, 2014. "A mathematical model of inter-terminal transportation," European Journal of Operational Research, Elsevier, vol. 235(2), pages 448-460.
    12. Barilla, David & Carlucci, Fabio & Cirà, Andrea & Ioppolo, Giuseppe & Siviero, Lucio, 2020. "Total factor logistics productivity: A spatial approach to the Italian regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 205-222.
    13. Krüger, Stephan & Schwientek, Anne Kathrina & Jahn, Carlos, 2021. "Evaluation of an integrated planning and simulation tool," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 351-371, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    14. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    15. Geoffrey C. Preston & Phillip Horne & Maria Paola Scaparra & Jesse R. O’Hanley, 2020. "Masterplanning at the Port of Dover: The Use of Discrete-Event Simulation in Managing Road Traffic," Sustainability, MDPI, vol. 12(3), pages 1-19, February.

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