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The Storage Space Allocation Problem at a Container Terminal

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  • Dung-Ying Lin
  • Chia-Wei Chiang

Abstract

Due to the asymmetry between the time required to retrieve a container to vessel and the time required to register a container at the gate, the storage space allocation problem solves the best allocation policy of these containers that minimizes the potential number of gantry movements during the assigning process and the future retrieval process. A decision rule-based heuristic is proposed, and three properties are discovered in this research. Comprehensive numerical experiments show that the proposed heuristic can solve the real-sized instances within a second, making it possible to account for uncertainty because the re-optimization effort is negligible. Moreover, when applying the proposed heuristic to a container yard at the Port of Kaohsiung in Taiwan and considering the extreme cases, the heuristic performs even better when the number of containers increases and still requires less than 1 s to solve these extreme cases. Finally, the proposed heuristic can be applied to different layouts of storage space and various material handling machines.

Suggested Citation

  • Dung-Ying Lin & Chia-Wei Chiang, 2017. "The Storage Space Allocation Problem at a Container Terminal," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 685-704, August.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:6:p:685-704
    DOI: 10.1080/03088839.2017.1335897
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    Cited by:

    1. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    2. Feng, Xuehao & He, Yucheng & Kim, Kap-Hwan, 2022. "Space planning considering congestion in container terminal yards," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 52-77.
    3. Neven Grubisic & Tomislav Krljan & Livia Maglić & Siniša Vilke, 2020. "The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    4. Facchini, F. & Digiesi, S. & Mossa, G., 2020. "Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making," International Journal of Production Economics, Elsevier, vol. 219(C), pages 164-178.

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