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Stowage planning for inland container vessels: A literature review

In: Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 30

Author

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  • Franzkeit, Janna
  • Schwientek, Anne Kathrina
  • Jahn, Carlos

Abstract

Purpose: The focus of this publication is literature on the Stowage Planning Problem for small container vessels. The problem is important not only for safety reasons con-cerning stability, but also for enhancing efficiency, as restacking of containers is time consuming and therefore expensive. Small vessels are often competing with other modes of transportation. Optimization of loading operations keeps them competi-tive. Methodology: A systematic literature review taking into account journal articles, conference proceedings as well as book chapters has been conducted. The literature is analyzed and categorized to identify directions for further research. Findings: The problem has been researched extensively for large container vessels. The findings are not always applicable for small vessels. Publications focusing on those are still scarce, but the number has increased in recent years. Nevertheless, multiple new directions for further research are identified. Originality: An extensive literature review for the stowage planning problem with a focus on small container vessels has not been published to the authors' knowledge.

Suggested Citation

  • Franzkeit, Janna & Schwientek, Anne Kathrina & Jahn, Carlos, 2020. "Stowage planning for inland container vessels: A literature review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 247-280, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:228952
    DOI: 10.15480/882.3141
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    References listed on IDEAS

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    1. Mordecai Avriel & Michal Penn & Naomi Shpirer & Smadar Witteboon, 1998. "Stowage planning for container ships to reduce the number of shifts," Annals of Operations Research, Springer, vol. 76(0), pages 55-71, January.
    2. Rob A. Zuidwijk & Albert W. Veenstra, 2015. "The Value of Information in Container Transport," Transportation Science, INFORMS, vol. 49(3), pages 675-685, August.
    3. Delgado, Alberto & Jensen, Rune Møller & Janstrup, Kira & Rose, Trine Høyer & Andersen, Kent Høj, 2012. "A Constraint Programming model for fast optimal stowage of container vessel bays," European Journal of Operational Research, Elsevier, vol. 220(1), pages 251-261.
    4. I D Wilson & P A Roach, 2000. "Container stowage planning: a methodology for generating computerised solutions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1248-1255, November.
    5. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    6. Luo, Jiabin & Wu, Yue, 2015. "Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 49-64.
    7. Ui, Takashi & Yoshizawa, Yasunori, 2015. "Characterizing social value of information," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 507-535.
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    Cited by:

    1. van Twiller, Jaike & Sivertsen, Agnieszka & Pacino, Dario & Jensen, Rune Møller, 2024. "Literature survey on the container stowage planning problem," European Journal of Operational Research, Elsevier, vol. 317(3), pages 841-857.

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