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Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool

Author

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  • Branislav Dragović

    (University of Montenegro)

  • Ernestos Tzannatos

    (University of Piraeus)

  • Nam Kuy Park

    (Tong Myong University)

Abstract

The simulation modelling of shore- and sea-side port operations constitutes a fundamental prerequisite for effective project planning in port development, as the influence of numerous often interactive parameters has to be addressed at an early stage to account for the optimum supply of port facilities and services to current and future demand. This paper presents a detailed review of the available research literature on the application of simulation models in port development, through extensive reference to published journal papers from the onset of the relevant simulation modelling and through the course of the past 54 years (1961–2015). With focus on container terminals, this review aims at analysing the use of port related simulation models and ultimately at assessing their contribution into building the research knowledge necessary to promote sustainable ship-port interfaces and freight transport chains. It was found that over the past 50 years the use of simulation models has been increasingly favoured and instrumental in the development of ports and more specifically of container terminals. Most of the research literature addresses operational issues, accounting for its highest concentration and coherence in the research field of operations research, although the need to utilise the wide-ranging capabilities of simulation modelling in order to offer integrated solutions is recently promoting the dissemination of the relevant literature through sector-specific (i.e. transport and maritime) research fields. Finally, the observed tendency to employ simulation tools which offer the most realistic results reflects the research effort to ensure that simulation modelling offers tangible solutions to the maritime and transport industry.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:flsman:v:29:y:2017:i:1:d:10.1007_s10696-016-9239-5
    DOI: 10.1007/s10696-016-9239-5
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    1. Hartmann, Sönke, 2013. "Scheduling reefer mechanics at container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 51(C), pages 17-27.
    2. Roberto Cigolini & Margherita Pero & Tommaso Rossi & Andrea Sianesi, 2013. "Using simulation to optimize transhipment systems: Applications in field," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(3), pages 332-348, September.
    3. 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.
    4. Daniel Seong-Hyeok Moon & Jong Kyun Woo, 2014. "The impact of port operations on efficient ship operation from both economic and environmental perspectives," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(5), pages 444-461, September.
    5. Lehnfeld, Jana & Knust, Sigrid, 2014. "Loading, unloading and premarshalling of stacks in storage areas: Survey and classification," European Journal of Operational Research, Elsevier, vol. 239(2), pages 297-312.
    6. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    7. Ana C Paixão Casaca, 2005. "Simulation and the Lean Port Environment," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 7(3), pages 262-280, September.
    8. Omor Sharif & Nathan Huynh, 2012. "Yard crane scheduling at container terminals: A comparative study of centralized and decentralized approaches," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(2), pages 139-161, June.
    9. Guimaraes, Rui C. & Kingsman, Brian G., 1989. "Simulation-optimisation: The method and its application in the analysis of grain terminal operations," European Journal of Operational Research, Elsevier, vol. 41(1), pages 44-53, July.
    10. Longo, Francesco, 2010. "Design and integration of the containers inspection activities in the container terminal operations," International Journal of Production Economics, Elsevier, vol. 125(2), pages 272-283, June.
    11. Legato, Pasquale & Mazza, Rina M., 2001. "Berth planning and resources optimisation at a container terminal via discrete event simulation," European Journal of Operational Research, Elsevier, vol. 133(3), pages 537-547, September.
    12. Zhang, Canrong & Wu, Tao & Kim, Kap Hwan & Miao, Lixin, 2014. "Conservative allocation models for outbound containers in container terminals," European Journal of Operational Research, Elsevier, vol. 238(1), pages 155-165.
    13. Albert Veenstra & Rob Zuidwijk & Eelco van Asperen, 2012. "The extended gate concept for container terminals: Expanding the notion of dry ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(1), pages 14-32, March.
    14. A. Ballis & J. Golias & C. Abarkoumkin, 1997. "A comparison between conventional and advanced handling systems for low volume container maritime terminals," Maritime Policy & Management, Taylor & Francis Journals, vol. 24(1), pages 73-92, January.
    15. Xi Guo & Shell Ying Huang, 2012. "Dynamic Space and Time Partitioning for Yard Crane Workload Management in Container Terminals," Transportation Science, INFORMS, vol. 46(1), pages 134-148, February.
    16. Woo, Su-Han & Pettit, Stephen J. & Kwak, Dong-Wook & Beresford, Anthony K.C., 2011. "Seaport research: A structured literature review on methodological issues since the 1980s," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 667-685, August.
    17. Petering, Matthew E.H., 2009. "Effect of block width and storage yard layout on marine container terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 591-610, July.
    18. Vis, Iris F. A. & de Koster, Rene, 2003. "Transshipment of containers at a container terminal: An overview," European Journal of Operational Research, Elsevier, vol. 147(1), pages 1-16, May.
    19. Pasquale Legato & Pietro Canonaco & Rina M Mazza, 2009. "Yard Crane Management by Simulation and Optimisation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(1), pages 36-57, March.
    20. Parola, Francesco & Sciomachen, Anna, 2005. "Intermodal container flows in a port system network:: Analysis of possible growths via simulation models," International Journal of Production Economics, Elsevier, vol. 97(1), pages 75-88, July.
    21. Wenjuan Zhao & Anne V Goodchild, 2013. "Using the truck appointment system to improve yard efficiency in container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(1), pages 101-119, March.
    22. John Layaa & Wout Dullaert, 2014. "Measuring and analysing terminal capacity in East Africa: The case of the seaport of Dar es Salaam," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(2), pages 141-164, June.
    23. Qingcheng Zeng & Ali Diabat & Qian Zhang, 2015. "A simulation optimization approach for solving the dual-cycling problem in container terminals," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(8), pages 806-826, November.
    24. Na, Ung Jin & Shinozuka, Masanobu, 2009. "Simulation-based seismic loss estimation of seaport transportation system," Reliability Engineering and System Safety, Elsevier, vol. 94(3), pages 722-731.
    25. 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.
    26. Eleni Hadjiconstantinou & Nang Laik Ma, 2009. "Evaluating straddle carrier deployment policies: a simulation study for the Piraeus container terminal," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(4), pages 353-366, August.
    27. Shabayek, A. A. & Yeung, W. W., 2002. "A simulation model for the Kwai Chung container terminals in Hong Kong," European Journal of Operational Research, Elsevier, vol. 140(1), pages 1-11, July.
    28. Hugh S. Turner, 2000. "Evaluating seaport policy alternatives: a simulation study of terminal leasing policy and system performance," Maritime Policy & Management, Taylor & Francis Journals, vol. 27(3), pages 283-301.
    29. Yongpei Guan & Kang-hung Yang, 2010. "Analysis of berth allocation and inspection operations in a container terminal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(4), pages 347-369, December.
    30. Su-Han Woo & Stephen Pettit & Anthony Beresford & Dong-Wook Kwak, 2012. "Seaport Research: A Decadal Analysis of Trends and Themes Since the 1980s," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 351-377, January.
    31. Zhao, Wenjuan & Goodchild, Anne V., 2010. "The impact of truck arrival information on container terminal rehandling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 327-343, May.
    32. Branislav Dragović & Nam Kyu Park & Zoran Radmilović, 2006. "Ship-berth link performance evaluation: simulation and analytical approaches," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(3), pages 281-299, July.
    33. Yun, Won Young & Choi, Yong Seok, 1999. "A simulation model for container-terminal operation analysis using an object-oriented approach," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 221-230, March.
    34. M Luo & T A Grigalunas, 2003. "A Spatial-Economic Multimodal Transportation Simulation Model For US Coastal Container Ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(2), pages 158-178, June.
    35. Erhan Kozan, 2006. "Optimum Capacity for Intermodal Container Terminals," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(6), pages 471-482, September.
    36. Petering, Matthew E.H., 2011. "Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(1), pages 85-103, January.
    37. Kap Hwan Kim & Jong Wook Bae, 2004. "A Look-Ahead Dispatching Method for Automated Guided Vehicles in Automated Port Container Terminals," Transportation Science, INFORMS, vol. 38(2), pages 224-234, May.
    38. J Fernando Alvarez & Tore Longva & Erna S Engebrethsen, 2010. "A methodology to assess vessel berthing and speed optimization policies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(4), pages 327-346, December.
    39. Zehendner, Elisabeth & Feillet, Dominique, 2014. "Benefits of a truck appointment system on the service quality of inland transport modes at a multimodal container terminal," European Journal of Operational Research, Elsevier, vol. 235(2), pages 461-469.
    40. Athanasios Pallis & Thomas Vitsounis & Peter De Langen & Theo Notteboom, 2011. "Port Economics, Policy and Management: Content Classification and Survey," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 445-471.
    41. Tae-Woo Lee & Nam-Kyu Park & Dong-Won Lee, 2003. "A simulation study for the logistics planning of a container terminal in view of SCM," Maritime Policy & Management, Taylor & Francis Journals, vol. 30(3), pages 243-254, July.
    42. Rizzoli, Andrea E. & Fornara, Nicoletta & Gambardella, Luca Maria, 2002. "A simulation tool for combined rail/road transport in intermodal terminals," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 57-71.
    43. Bielli, Maurizio & Boulmakoul, Azedine & Rida, Mohamed, 2006. "Object oriented model for container terminal distributed simulation," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1731-1751, December.
    44. Branislav Dragović & Nam Kyu Park & Zoran Radmilović & Vladislav Maraš, 2005. "Simulation Modelling of Ship-Berth Link With Priority Service," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 7(4), pages 316-335, December.
    45. Coronado Mondragon, Adrian E. & Lalwani, Chandra S. & Coronado Mondragon, Etienne S. & Coronado Mondragon, Christian E. & Pawar, Kulwant S., 2012. "Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location," International Journal of Production Economics, Elsevier, vol. 137(1), pages 165-175.
    46. S. Sacone & S. Siri, 2009. "An integrated simulation-optimization framework for the operational planning of seaport container terminals," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 15(3), pages 275-293, January.
    47. Yeo, Gi-Tae & Pak, Ji-Yeong & Yang, Zaili, 2013. "Analysis of dynamic effects on seaports adopting port security policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 285-301.
    48. Yusuf Volkan Aydogdu & Selim Aksoy, 2015. "A study on quantitative benefits of port community systems," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 1-10, January.
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