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Effect of block width and storage yard layout on marine container terminal performance

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  • Petering, Matthew E.H.

Abstract

Block widths ranging from two to fifteen rows in a marine container terminal are evaluated by a fully-integrated, discrete event simulation model. Experiments consider dozens of yard configurations and four container terminal settings that are designed to reproduce the microscopic, stochastic, real-time environment at a multiple-berth facility. Results show that the quay crane rate is concave with respect to block width when the yard storage capacity and amount of yard equipment is constant. The optimal block width ranges from 6 to 12 rows depending on the amount of equipment deployed and the size, shape, and throughput of the terminal.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:4:p:591-610
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    Cited by:

    1. Claudia Durán & Ivan Derpich & Raúl Carrasco, 2022. "Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    2. Pasquale Legato & Rina Mary Mazza & Roberto Trunfio, 2013. "Medcenter Container Terminal SpA Uses Simulation in Housekeeping Operations," Interfaces, INFORMS, vol. 43(4), pages 313-324, August.
    3. 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.
    4. Erhan Karakaya & Alice E. Smith & Rosa G. González Ramírez & Jimena Pascual, 2023. "Design of empty container depot layouts using data and analytics," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 196-240, March.
    5. Zhang, Liye & Meng, Qiang & Fang Fwa, Tien, 2019. "Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 287-304.
    6. Marco Ferretti & Ugo Fiore & Francesca Perla & Marcello Risitano & Salvatore Scognamiglio, 2022. "Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development," Future Internet, MDPI, vol. 14(8), pages 1-19, July.
    7. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    8. Xiaoju Zhang & Huijuan Li & Meng Wu, 2022. "Optimization of Resource Allocation in Automated Container Terminals," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    9. Martin Alcalde, Enrique & Kim, Kap Hwan & Marchán, Sergi Saurí, 2015. "Optimal space for storage yard considering yard inventory forecasts and terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 101-128.
    10. 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.
    11. Serkan Karakas & Mehmet Kirmizi & Batuhan Kocaoglu, 2021. "Yard block assignment, internal truck operations, and berth allocation in container terminals: introducing carbon-footprint minimisation objectives," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(4), pages 750-771, December.
    12. Roy, D. & de Koster, M.B.M., 2015. "Stochastic Modeling of Unloading and Loading Operations at a Container Terminal using Automated Lifting Vehicles," ERIM Report Series Research in Management ERS-2015-005-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.
    13. Jin, Jiahuan & Ma, Mingyu & Jin, Huan & Cui, Tianxiang & Bai, Ruibin, 2023. "Container terminal daily gate in and gate out forecasting using machine learning methods," Transport Policy, Elsevier, vol. 132(C), pages 163-174.
    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. Nanxi Wang & Daofang Chang & Xiaowei Shi & Jun Yuan & Yinping Gao, 2019. "Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions," Sustainability, MDPI, vol. 11(10), pages 1-40, May.
    16. Kumawat, Govind Lal & Roy, Debjit & De Koster, René & Adan, Ivo, 2021. "Stochastic modeling of parallel process flows in intra-logistics systems: Applications in container terminals and compact storage systems," European Journal of Operational Research, Elsevier, vol. 290(1), pages 159-176.
    17. 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.
    18. Ma, Hoi-Lam & Wong, Collin Wai-Hung & Leung, Lawrence C. & Chung, Sai-Ho, 2020. "Facility sharing in business-to-business model: A real case study for container terminal operators in Hong Kong port," International Journal of Production Economics, Elsevier, vol. 221(C).
    19. 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.
    20. 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.
    21. Saurí, S. & Martín, E., 2011. "Space allocating strategies for improving import yard performance at marine terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1038-1057.

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