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An Optimization Model for Defining Storage Strategies for Export Yards in Container Terminals: A Case Study

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Book cover Computational Logistics (ICCL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12433))

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Abstract

In maritime container terminals, yards have a primary role in permitting the efficient management of import and export flows. In this work, we focus on export containers and storage strategies to minimize the space used in the export yard. The main aim is to define the rules to use to allocate containers into the bay-locations of the yard for minimizing both the number of bay-locations used and the empty slots. The storage rules are related to the configuration of classes of weight in terms of the number of classes to use and the weight limitations of each class. The idea is to use a 0–1 linear programming model to periodically modify the storage rules for defining the groups of containers that can be stored together. This model uses updated input data derived by periodical data analysis. A real case study related to an Italian terminal is reported and preliminary results are given.

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References

  1. Gouvernal, E., Lavaud-Letilleul, V., Slack, B.: Transport and logistics hubs: separating fact from fiction. In: Integrating Seaports and Trade Corridors, pp. 83–98 (2016)

    Google Scholar 

  2. Chen, S.L., Jeevan, J., Cahoon, S.: Malaysian container seaport-hinterland connectivity: Status, challenges and strategies. Asian J. Ship. Logist. 32(3), 127–138 (2016)

    Article  Google Scholar 

  3. Acciaro, A., Mckinnon, A.: Efficient hinterland transport infrastructure and services for large container ports, international transport forum (2013). https://tinyurl.com/y5m9fzvt

  4. Steenken, D., Voß, S., Stahlbock, R.: Container terminal operation and operations research-a classification and literature review. OR Spect. 26(1), 3–49 (2004)

    Article  MATH  Google Scholar 

  5. Günther, H.O., Kim, K.H.: Container terminals and terminal operations (2006)

    Google Scholar 

  6. Stahlbock, R., Voß, S.: Operations research at container terminals: a literature update. OR Spect 30(1), 1–52 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. Carlo, H.J., Vis, I.F., Roodbergen, K.J.: Storage yard operations in container terminals: literature overview, trends, and research directions. Eur. J. Oper. Res. 235(2), 412–430 (2014)

    Article  MATH  Google Scholar 

  8. Wiese, J., Suhl, L., Kliewer, N.: Mathematical models and solution methods for optimal container terminal yard layouts. OR Spect. 32(3), 427–452 (2010)

    Article  MATH  Google Scholar 

  9. Legato, P., Canonaco, P., Mazza, R.M.: Yard crane management by simulation and optimisation. Marit. Econ. Logist. 11(1), 36–57 (2009)

    Article  Google Scholar 

  10. Sha, M., Zhou, X., Qin, T.B., Yu, D.Y., Qiu, H.L.: Study on layout optimization and simulation of container yard. Ind. Eng. Manag. 2 (2013)

    Google Scholar 

  11. Xie, Y., Song, D.P.: Optimal planning for container prestaging, discharging, and loading processes at seaport rail terminals with uncertainty. Transp. Res. Part E: Logist. Transp. Rev. 119, 88–109 (2018)

    Article  Google Scholar 

  12. Zhang, C., Liu, J., Wan, Y.W., Murty, K., Linn, R.: Storage space allocation in container terminals. Transp. Res. Part B Methodol. 37, 883–903 (2003)

    Article  Google Scholar 

  13. Saanen, Y., Dekker, R.: Intelligent stacking as way out of congested yards part 1. Port Technol. Int. 31, 87–92 (2007)

    Google Scholar 

  14. Koster, R.D., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: A literature review. Eur. J. Oper. Res. 182(2), 481–501 (2007)

    Article  MATH  Google Scholar 

  15. Kim, K.H., Park, Y.M., Ryu, K.R.: Deriving decision rules to locate export containers in container yards. Eur. J. Oper. Res. 124(1), 89–101 (2000)

    Article  MATH  Google Scholar 

  16. Kim, K.H., Park, K.T.: A note on a dynamic space-allocation method for outbound containers. Eur. J. Oper. Res. 148(1), 92–101 (2003)

    Article  MATH  Google Scholar 

  17. Zhang, C., Wu, T., Kim, K.H., Miao, L.: Conservative allocation models for outbound containers in container terminals. Eur. J. Oper. Res. 238(1), 155–165 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  18. Kozan, E., Preston, P.: Mathematical modelling of container transfers and storage locations at seaport terminals. In: Kim, K.H., Günther, H.-O. (eds.) Container Terminals and Cargo Systems, pp. 87–105. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-49550-5_5

    Chapter  Google Scholar 

  19. Chen, L., Lu, Z.: The storage location assignment problem for outbound containers in a maritime terminal. Int. J. Prod. Econ. 135(1), 73–80 (2012). Advances in Optimization and Design of Supply Chains

    Article  Google Scholar 

  20. Zhou, C., Wang, W., Li, H.: Container reshuffling considered space allocation problem in container terminals. Transp. Res. Part E: Logist. Transp. Rev. 136, 101869 (2020)

    Article  Google Scholar 

  21. Woo, Y.J., Kim, K.H.: Estimating the space requirement for outbound container inventories in port container terminals. Int. J. Prod. Econ. 133(1), 293–301 (2011)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Economic and Business Studies, Università di Genova, Via Vivaldi, 5, 16126, Genova, Italy

    Daniela Ambrosino & Haoqi Xie

Authors
  1. Daniela Ambrosino
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  2. Haoqi Xie
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Correspondence to Daniela Ambrosino .

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Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Eduardo Lalla-Ruiz

  2. University of Twente, Enschede, The Netherlands

    Martijn Mes

  3. University of Hamburg, Hamburg, Germany

    Stefan Voß

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Ambrosino, D., Xie, H. (2020). An Optimization Model for Defining Storage Strategies for Export Yards in Container Terminals: A Case Study. In: Lalla-Ruiz, E., Mes, M., Voß, S. (eds) Computational Logistics. ICCL 2020. Lecture Notes in Computer Science(), vol 12433. Springer, Cham. https://doi.org/10.1007/978-3-030-59747-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-59747-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59746-7

  • Online ISBN: 978-3-030-59747-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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