Abstract
This paper proposes a storage policy for container terminals that handle large numbers of vessels and containers. The storage policy considers the estimated workload at a certain area in a given period; the partition of a storage block into subblocks; the proximities between containers belonging to the same group; the segregation between different groups of containers; and the stack heights of containers. We develop a framework for simulating container repositioning and vehicle congestion and use it to evaluate the yard crane productivity rate, amount of repositioning, and service time of a real-world port terminal. The preliminary result shows that the container terminal operates more efficiently under the storage policy with a bay as a subblock setting.
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References
Lee, C.-Y., Song, D.-P.: Ocean container transport in global supply chains: overview and research opportunities. Transp. Res. Part B: Methodol. 95, 442–474 (2017)
Jeong, Y.-H., Kim, K.-H., Woo, Y.-J., Seo, B.-H.: A simulation study on a workload-based operation planning method in container terminals. Ind. Eng. Manag. Syst. 11, 103–113 (2012)
Gharehgozli, A., Zaerpour, N.: Stacking outbound barge containers in an automated deep-sea terminal. Eur. J. Oper. Res. 267, 977–995 (2018)
Jiang, X., Lee, L.H., Chew, E.P., Han, Y., Tan, K.C.: A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port. Eur. J. Oper. Res. 221, 64–73 (2012)
Petering, M.E., Wu, Y., Li, W., Goh, M., de Souza, R., Murty, K.G.: Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses. Flex. Serv. Manuf. J. 29, 369–402 (2017)
Petering, M.E.: Real-time container storage location assignment at an RTG-based seaport container transshipment terminal: problem description, control system, simulation model, and penalty scheme experimentation. Flex. Serv. Manuf. J. 27, 351–381 (2015)
Zhen, L.: Container yard template planning under uncertain maritime market. Transp. Res. Part E: Logist. Transp. Rev. 69, 199–217 (2014)
He, J., Tan, C.J.E.O.: Modelling a resilient yard template under storage demand fluctuations in a container terminal. Eng. Optim. 51, 1547–1566 (2019)
Tan, C., He, J., Wang, Y.J.A.E.I.: Storage yard management based on flexible yard template in container terminal. Adv. Eng. Inform. 34, 101–113 (2017)
Jin, J.G., Lee, D.-H., Hu, H.: Tactical berth and yard template design at container transshipment terminals: a column generation based approach. Transp. Res. Part E: Logist. 73, 168–184 (2015)
Li, M.-K.J.E.J.o.I.E.: A method for effective yard template design in container terminals. Eur. J. Ind. Eng. 8, 1–21 (2014)
Acknowledgment
This research was supported under the framework of the International Cooperation Program managed by the National Research Foundation of Korea (Project Number: NRF-2016K1A3A1A48954044).
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Fibrianto, H.Y. et al. (2020). A Simulation Study of a Storage Policy for a Container Terminal. In: Freitag, M., Haasis, HD., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2020. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44783-0_6
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DOI: https://doi.org/10.1007/978-3-030-44783-0_6
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