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Modelling and optimisation of online container stacking with operational constraints

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  • Ceyhun Güven
  • Deniz Türsel Eliiyi

Abstract

Container transportation plays a critical role in the global shipping network and container terminals need to improve their operations to increase efficiency. Storage yard of a container terminal is a temporary area where the containers stay until they are shipped to their next destination. We concentrate on increasing the efficiency of the storage yard by developing online stacking policies for each incoming container. An unproductive move of a container, performed to reach another container stored underneath, is called reshuffling. The objective in container stacking problem is to minimise the number of reshuffles, thereby increasing the efficiency of terminal operations. Additional weight-related operational constraints bring additional complexity to the online stacking decisions. We propose a mathematical model for the optimal online assignment of an incoming export, transit, import or empty container. We also propose an optimal online stacking policy and compare it with a random policy through simulation. Additionally, lower bounds for the performance measures are obtained through simulation by relaxing the operational constraints of the problem in a third stacking policy. We present and discuss the computational results in terms of four main performance measures.

Suggested Citation

  • Ceyhun Güven & Deniz Türsel Eliiyi, 2019. "Modelling and optimisation of online container stacking with operational constraints," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(2), pages 201-216, February.
    • Handle: RePEc:taf:marpmg:v:46:y:2019:i:2:p:201-216
    DOI: 10.1080/03088839.2018.1450529
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    Citations

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    Cited by:

    1. Kastner, Marvin & Peters, Malte & Jahn, Carlos, 2021. "Assessing performance of container slot allocation heuristics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 427-454, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Boschma, René & Mes, Martijn R.K. & de Vries, Leon R., 2023. "Approximate dynamic programming for container stacking," European Journal of Operational Research, Elsevier, vol. 310(1), pages 328-342.
    3. Hyun Ji Park & Sung Won Cho & Abhilasha Nanda & Jin Hyoung Park, 2023. "Data-driven dynamic stacking strategy for export containers in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 170-195, March.
    4. Turkay Yildiz, 2019. "Design and Analysis of a Lightweight Composite Shipping Container Made of Carbon Fiber Laminates," Logistics, MDPI, vol. 3(3), pages 1-20, July.

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