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Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals

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  • Petering, Matthew E.H.

Abstract

This paper presents the results of nine independent studies that link a seaport container terminal's long-run average quay crane rate to various strategic and tactical decisions made by the terminal operating company. New numerical results on yard capacity, fleet composition, truck substitutability, and terminal scalability issues are obtained using a fully-integrated, discrete event simulation model of a vessel-to-vessel transshipment terminal that is designed to reproduce the microscopic, stochastic, real-time environment at a multiple-berth facility. These are the first such studies to be conducted using a fully-integrated simulation model of a non-automated container terminal.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:1:p:85-103
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    Citations

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    Cited by:

    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. Peter Shobayo & Edwin van Hassel, 2019. "Container barge congestion and handling in large seaports: a theoretical agent-based modeling approach," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-26, December.
    3. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship route schedule design with sea contingency time and port time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 615-633.
    4. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    5. 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.
    6. Xie, Ying & Song, Dong-Ping, 2018. "Optimal planning for container prestaging, discharging, and loading processes at seaport rail terminals with uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 88-109.
    7. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    8. 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.
    9. Nima Zaerpour & Amir Gharehgozli & René De Koster, 2019. "Vertical Expansion: A Solution for Future Container Terminals," Transportation Science, INFORMS, vol. 53(5), pages 1235-1251, September.
    10. Chenhao Zhou & Qitong Zhao & Haobin Li, 2021. "Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 663-688, September.
    11. Feng, Xuehao & He, Yucheng & Kim, Kap-Hwan, 2022. "Space planning considering congestion in container terminal yards," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 52-77.
    12. Amir Hossein Gharehgozli & Gilbert Laporte & Yugang Yu & René de Koster, 2015. "Scheduling Twin Yard Cranes in a Container Block," Transportation Science, INFORMS, vol. 49(3), pages 686-705, August.
    13. 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.
    14. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    15. Dawn Russell & Kusumal Ruamsook & Violeta Roso, 2022. "Managing supply chain uncertainty by building flexibility in container port capacity: a logistics triad perspective and the COVID-19 case," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 92-113, March.
    16. Ahmed Karam & Amr Eltawil & Kristian Hegner Reinau, 2020. "Energy-Efficient and Integrated Allocation of Berths, Quay Cranes, and Internal Trucks in Container Terminals," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    17. Igor Taran & Asem Karsybayeva & Vitalii Naumov & Kenzhegul Murzabekova & Marzhan Chazhabayeva, 2023. "Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan," Sustainability, MDPI, vol. 15(5), pages 1-14, February.
    18. Akyüz, M. Hakan & Lee, Chung-Yee, 2016. "Service type assignment and container routing with transit time constraints and empty container repositioning for liner shipping service networks," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 46-71.
    19. Akash Gupta & Debjit Roy & René de Koster & Sampanna Parhi, 2017. "Optimal stack layout in a sea container terminal with automated lifting vehicles," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3747-3765, July.
    20. Roy, D. & de Koster, M.B.M., 2014. "Modeling and Design of Container Terminal Operations," ERIM Report Series Research in Management ERS-2014-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    21. Matthew E. H. Petering & Yong Wu & Wenkai Li & Mark Goh & Robert Souza & Katta G. Murty, 2017. "Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 369-402, December.
    22. Zhang, Rong & Jian, Wenliang & Tavasszy, Lóránt, 2018. "Estimation of network level benefits of reliability improvements in intermodal freight transport," Research in Transportation Economics, Elsevier, vol. 70(C), pages 1-8.
    23. Debjit Roy & René De Koster & René Bekker, 2020. "Modeling and Design of Container Terminal Operations," Operations Research, INFORMS, vol. 68(3), pages 686-715, May.
    24. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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