CRITICAL FACTORS AFFECTING EFFICIENT YARD PLANNING IN A SEAPORT CONTAINER TERMINAL

Authors

DOI:

https://doi.org/10.46754/jml.2025.08.003

Keywords:

Yard planning, Critical Factors, Container Terminal, Analytic Hierarchical Process, Weight Rated and Ranking Method, Port of Colombo

Abstract

Operations at a container yard within a port terminal represent one of the most complex aspects of terminal operations, as both inbound and outbound container flows must be handled simultaneously. Yard planning involves allocating appropriate storage locations for these containers in order to integrate all activities within the terminal area into a seamless operation. Consequently, yard planning directly influences port efficiency by addressing the storage allocation of inbound containers, the utilisation of yard equipment, and the retrieval sequence of outbound containers. Several factors determine the efficiency of the yard planning process. The main objective of this paper is to explore and identify the factors affecting yard planning and its efficiency from the perspective of port terminal executives. A questionnaire survey was conducted with the participation of 30 port industry professionals representing the three port terminals operating at the Port of Colombo in Sri Lanka. The study employs the Analytic Hierarchy Process (AHP) method to identify the critical factors influencing yard planning efficiency and to determine the relative weight of each factor. The paper further offers managerial and technical implications for improving yard planning in port terminal management.

References

Abdul Rahman, N. S. F., Ismail, A., & Lun, V. Y. (2016). Preliminary study on new container stacking/storage system due to space limitations in container yard. Maritime Business Review, 1(1), 21-39. https://doi.org/10.1108/MABR-03-2016-0004

Ali A., Buana I., & Suastika I. (2019). A study of efficiency of container terminals: A case study of ports in Tanzania. In Proceedings of the 4th International Conference on Marine Technology - Volume 1: Senta (pp. 53-62). ISBN 978-989-758-557-9. https://www.scitepress.org/PublishedPapers/2019/108538/ DOI: https://doi.org/10.5220/0010853800003261

Bandeira, D. L., Becker, J. L., & Borenstein, D. (2009). A DSS for integrated distribution of empty and full containers. Decision Support Systems, 47(4), 383-397. https://doi.org/10.1016/j.dss.2009.04.003 DOI: https://doi.org/10.1016/j.dss.2009.04.003

Bazzazi, M., Safaei, N., & Javadian, N. (2009). A genetic algorithm to solve the storage space allocation problem in a container terminal. Computers & Industrial Engineering, 56(1), 44-52. https://doi.org/10.1016/j.cie.2008.03.012 DOI: https://doi.org/10.1016/j.cie.2008.03.012

Bierwirth, C., & Meisel, F. (2010). A survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 202(3), 615-627. https://doi.org/10.1016/j.ejor.2009.05.037 DOI: https://doi.org/10.1016/j.ejor.2009.05.031

Bierwirth, C., & Meisel, F. (2015). A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 244(3), 675-689. https://doi.org/10.1016/j.ejor.2014.12.030 DOI: https://doi.org/10.1016/j.ejor.2014.12.030

Boile, M., Theofanis, S., & Golias, M. M. (2009). Critical review of research approaches. Transportation Research Record Journal of the Transportation Research Board, 2100(1), 36-44. https://doi.org/10.3141/2100-03 DOI: https://doi.org/10.3141/2100-03

Böse, J. W. (Ed.). (2011). Handbook of terminal planning. In Operations research, computer science. Interfaces series (Vol. 49). Springer. https://doi.org/10.1007/978-1-4419-8408-1 DOI: https://doi.org/10.1007/978-1-4419-8408-1

Carlo, H. J., Vis, I. F. A., & Roodbergen, K. J. (2014). Storage yard operations in container terminals: Literature overview, trends, and research directions. European Journal of Operational Research, 235(2), 412-430. https://doi.org/10.1016/j.ejor.2013.10.054 DOI: https://doi.org/10.1016/j.ejor.2013.10.054

Chen, C., Hsu, W.-J., & Huang, S.-Y. (2003). Simulation and optimization of container yard operations: A survey. In Proceedings of International Conference on Port and Maritime R and D and Technology (pp. 23-29).

Chen, L., Notteboom, T., & Liu, J. (2013). The efficiency of container yard operations: A literature review. Maritime Policy & Management, 40(6), 593-616. https://doi.org/10.1080/03088839.2013.851425

Nishimura, E (2020). Yard and berth planning efficiency with estimated handling time. Maritime Business Review. 5 (1): 5–29. https://doi.org/10.1108/MABR-08-2019-0034 DOI: https://doi.org/10.1108/MABR-08-2019-0034

Christensen, C., & Ellis, R. (2022). Container yard as a complementary warehousing strategy: A case study in manufacturing logistics. Chalmers University of Technology.

Cudahy, B. J. (2006). The containership revolution: Malcom McLean’s 1956 innovation goes global. TR News, (246), 5-9. https://onlinepubs.trb.org/onlinepubs/trnews/trnews246.pdf

Danladi, C., Tuck, S., Tziogkidis, P., Tang, L., & Okorie, C. (2024). Efficiency analysis and benchmarking of container ports in lower-middle-income countries. Journal of Shipping and Trade, 9(7). https://doi.org/10.1186/s41072-024-00163-2 DOI: https://doi.org/10.1186/s41072-024-00163-2

Hakim, F., Khaled, T., Al-Kharaz, M., et al. (2024). Towards a Digital Twin Modeling Method for Container Terminal Port. 246: 3113-3121. https://doi.org/10.1016/j.procs.2024.09.361 DOI: https://doi.org/10.1016/j.procs.2024.09.361

Hashim, S. R. M., Abdullah, N., & Aziz, A. (n.d.). Ranking method using multiple weighted score analysis.

Holguín-Veras, J., & Jara-Díaz, S. (1998). Optimal pricing for priority service and space allocation in container ports. Transportation Research Part B: Methodological, 33(2), 81-106. https://doi.org/10.1016/S0191-2615(98)00028-0 DOI: https://doi.org/10.1016/S0191-2615(98)00029-0

Hsu, W. K. K., Huang, S. H. S., & Huynh, N. T. (2023). An assessment of operating efficiency for container terminals in a port–An empirical study in Kaohsiung Port using Data Envelopment Analysis. Research in Transportation Business & Management, 46, 100823. https://doi.org/10.1016/j.rtbm.2022.100823 DOI: https://doi.org/10.1016/j.rtbm.2022.100823

Hwan Kim, K., & Bae Kim, H. (1999). Segregating space allocation models for container inventories in port container terminals. International Journal of Production Economics, 59(1), 415-423. https://doi.org/10.1016/S0925-5273(98)00028-0 DOI: https://doi.org/10.1016/S0925-5273(98)00028-0

Imai, A., Nishimura, E., Papadimitriou, S., & Liu, M. (2006). The berth allocation problem: Models and solution methods. Transportation Research Part E: Logistics and Transportation Review, 42(2), 87-108. https://doi.org/10.1016/j.tre.2005.06.003 DOI: https://doi.org/10.1016/j.tre.2005.06.003

Islam, S., & Olsen, T. (2013, December). Factors affecting seaport capacity: Managerial implications for a simulation framework. In 22nd National Conference of the Australian Society for Operations Research. https://www.asor.org.au/conferences/asor2013/J3/islam.pdf

Islam, S., & Olsen, T. L. (2011). Factors affecting seaport capacity. In 19th International Congress on Modelling and Simulation (pp. 412-418), Perth, Australia, 12-16 December 2011, https://www.mssanz.org.au/modsim2011/A5/islam.pdf

Islama, S., & Olsena, T. L. (2013). Factors affecting seaport capacity: Managerial implications for a simulation framework. In 22nd National Conference of the Australian Society for Operations Research (pp. 84-90). Adelaide. Australia, 1-6 December 2013, https://www.asor.org.au/conferences/asor2013/J3/islam.pdf

Jiang, C., Lee, L., Chew, E., Han, S., & Tan, K. (2012). Impact of yard strategies on overall container terminal productivity. Maritime Economics & Logistics, 14(2), 237-253. DOI: 10.1057/mel.2012.3 DOI: https://doi.org/10.1057/mel.2012.3

Jiang, X., Lee, L. H., Chew, E. P., Han, Y., & Tan, K. C. (2012). A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port. European Journal of Operational Research, 221(1), 64-73. https://doi.org/10.1016/j.ejor.2012.03.011 DOI: https://doi.org/10.1016/j.ejor.2012.03.011

Jin, J. G., Lee, D. H., & Hu, H. (2015). Tactical berth and yard template design at container transshipment terminals: A column generation-based approach. Transportation Research Part E: Logistics and Transportation Review, 73, 168-184. https://doi.org/10.1016/j.tre.2014.11.009 DOI: https://doi.org/10.1016/j.tre.2014.11.009

Kim, K. H., & Günther, H. O. (2007). Container terminals and terminal operations. In Günther, H. O., & Kim, K. H. (Eds.), Container terminals and cargo systems: Design, operations management, and logistics control issues (pp. 3-12). Springer. https://doi.org/10.1007/978-3-540-49550-5_1 DOI: https://doi.org/10.1007/978-3-540-49550-5_1

Lee, C.-L., & Meng, Q. (2014). Handbook of ocean container transport logistics. Springer. https://doi.org/10.1007/978-3-319-11891-8 DOI: https://doi.org/10.1007/978-3-319-11891-8

Lee, Y. H., & Kim, K. H. (2013). Optimization of container yard operations. OR Spectrum, 35(2), 367-389. https://doi.org/10.1007/s00291-012-0296-0 DOI: https://doi.org/10.1007/s00291-012-0298-z

Liu, Q. (2010). Efficiency analysis of container ports and terminals [Doctoral thesis, University College London]. https://discovery.ucl.ac.uk/19215/

Liu, Y., Zhang, Q., & Wang, H. (2025). Mathematical modeling and optimization of yard layout in automated container terminals. Expert Systems with Applications, 200, 117033. DOI: 10.1016/j.eswa.2022.117033 DOI: https://doi.org/10.1016/j.eswa.2022.117033

Lu, Z. (2013). The shift of bottleneck from quay to yard side in container terminal operations. Maritime Policy & Management, 40(1), 45-58. DOI: 10.1080/03088839.2012.744495

Maloni, M., & Jackson, E. C. (2005). North American container port capacity: An exploratory analysis. Transportation Journal, 44(3), 1-22. https://www.jstor.org/stable/20713699 DOI: https://doi.org/10.2307/20713603

Maloni, M., & Jackson, E. C. (2014). American container port capacity: A literature. Transportation Journal, 44(2), 16-36. https://www.jstor.org/stable/20713699 DOI: https://doi.org/10.2307/20713596

Ningrum, R. C., Wibisono, R. E., & Saphira, H. V. (2024, December). A literature review on container yard location planning to support sustainable shipping. In International Joint Conference on Science and Engineering 2024 (IJCSE 2024) (pp. 307-315). Atlantis Press. https://www.atlantis-press.com/proceedings/ijcse-24/126007360 DOI: https://doi.org/10.2991/978-94-6463-626-0_31

Ortiz, D. S., Weatherford, B., Willis, H. H., Collins, M., & Mandava, N. (2007). Increasing the capacity of freight transportation: US and Canadian perspectives (Vol. 228). Rand Corporation. https://www.rand.org/pubs/monographs/MG598.html

Park, N., & Dragović, B. (2009). A study of container terminal planning. FME Transactions, 37, 203-209. https://doi.org/10.5937/fmet0904203P

Psaraftis, H. N. (1998). When a port calls an operations researcher answers. OR/MS Today, 38-41. https://pubsonline.informs.org/do/10.1287/orms.25.5.38/full/

Robinson, B. (2003). Container terminal vehicle booking systems. Cargo Systems, 30, 16. https://www.porttechnology.org/news/container_terminal_vehicle_booking_systems/

Saaty, R. W. (1987). The analytic hierarchy process: What it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. https://doi.org/10.1016/0270-0255(87)90473-8 DOI: https://doi.org/10.1016/0270-0255(87)90473-8

Shaiful, N., Abdul, F., Alisha, R., Venus, I., Shaiful, N., & Abdul, F. (2016). Preliminary study on new container stacking/storage system due to space limitations in container yard. Maritime Business Review, 1(1), 21-39. https://doi.org/10.1108/MABR-03-2016-0004 DOI: https://doi.org/10.1108/MABR-03-2016-0004

Stahlbock, R., & Voß, S. (2008). Operations research at container terminals: A literature update. OR Spectrum, 30(1), 1-52. https://doi.org/10.1007/s00291-007-0100-9 DOI: https://doi.org/10.1007/s00291-007-0100-9

Steenken, D., Voß, S., & Stahlbock, R. (2004). Container terminal operation and operations research: A classification and literature review. OR Spectrum, 26(1), 3-49. https://doi.org/10.1007/s00291-003-0157-z DOI: https://doi.org/10.1007/s00291-003-0157-z

Steenken, D., Winter, T., & Zimmermann, U. T. (2001). Stowage and transport optimization in ship planning. In Grötschel, M., Krumke, S. O., & Rambau, J. (Eds.), Online optimization of large-scale systems. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-662-04331-8_35 DOI: https://doi.org/10.1007/978-3-662-04331-8_35

Stopford, M. (2009). The regulation of the maritime industry. In Maritime economics (3rd ed.). Routledge. DOI: https://doi.org/10.4324/9780203891742

Tang, L., Jiang, W., Liu, J., & Dong, Y. (2015). Research into container reshuffling and stacking problems in container terminal yards. IIE Transactions, 47(10), 1063-1082. https://doi.org/10.1080/0740817X.2015.1029618 DOI: https://doi.org/10.1080/0740817X.2014.971201

Tomazic, T., Horvat, M., & Zuperl, U. (2025). The impact of container yard layout on cargo handling time and energy consumption in intermodal terminal operations. Archives of Transport, 68(1), 123-135. DOI: 10.61089/aot2025.4f22k916 DOI: https://doi.org/10.61089/aot2025.4f22k916

van Twiller, J., Sivertsen, A., Pacino, D., & Jensen, R. M. (2023). Literature survey on the container stowage planning problem. European Journal of Operational Research, 312, 405-434. https://doi.org/10.1016/j.ejor.2023.01.030 DOI: https://doi.org/10.1016/j.ejor.2023.01.030

Wang, S., Meng, Q., & Sun, Z. (2022). Yard space optimization in container terminals: A review and future directions. Transportation Research Part C: Emerging Technologies, 142, 103749. https://doi.org/10.1016/j.trc.2022.103749

Weerasinghe, B. A., Perera, H. N., & Bai, X. (2024). Optimizing container terminal operations: A systematic review of operations research applications. Maritime Economic & Logistics, 26, 307-341. https://doi.org/10.1057/s41278-023-00254-0 DOI: https://doi.org/10.1057/s41278-023-00254-0

Yun, W. Y., & Choi, Y. S. (1999). A simulation model for container-terminal operation analysis using an object-oriented approach. International Journal of Production Economics, 59(1-3), 221-230. https://doi.org/10.1016/S0925-5273(98)00213-8 DOI: https://doi.org/10.1016/S0925-5273(98)00213-8

Zhang, C., Liu, J., Wan, Y. W., Murty, K. G., & Linn, R. J. (2003). Storage space allocation in container terminals. Transportation Research Part B: Methodological, 37(10), 883-903. https://doi.org/10.1016/S0191-2615(02)00089-9 DOI: https://doi.org/10.1016/S0191-2615(02)00089-9

Zhang, Y., Liu, J., & Notteboom, T. (2020). Multi-criteria decision analysis for yard planning in container terminals. Maritime Economics & Logistics, 22(2), 237-259. https://doi.org/10.1057/s41278-018-00120-2

Zhen, L. (2014). Container yard template planning under uncertain maritime market. Transportation Research Part E: Logistics and Transportation Review, 69, 199-217. https://doi.org/10.1016/j.tre.2014.06.011 DOI: https://doi.org/10.1016/j.tre.2014.06.011

Zhen, L., Xu, Z., Wang, K., & Ding, Y. (2016). Multi-period yard template planning in container terminals. Transportation Research Part B: Methodological, 90, 309-329. https://doi.org/10.1016/j.trb.2016.04.011 DOI: https://doi.org/10.1016/j.trb.2016.04.011

Zhou, J., Wang, X., & Zhang, D. (2025). Collaborative truck scheduling optimization in container terminals to minimize vessel port time. Transportation Research Part E: Logistics and Transportation Review, 154, 103945. DOI: 10.1016/j.tre.2021.103945

Published

25-08-2025

How to Cite

Bandara, Y. M., & Perera, C. (2025). CRITICAL FACTORS AFFECTING EFFICIENT YARD PLANNING IN A SEAPORT CONTAINER TERMINAL . Journal of Maritime Logistics, 5(1), 36–55. https://doi.org/10.46754/jml.2025.08.003