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Containership cargo profiles, cargo systems, and stowage capacity: key performance indicators

Author

Listed:
  • Petri Helo

    (University of Vaasa)

  • Henri Paukku

    (MacGregor Finland Oy)

  • Tero Sairanen

    (MacGregor Finland Oy)

Abstract

Being fit for purpose is a key element of a cargo system (or ship configuration). It is important to understand a certain cargo profile (or cargo mix) and to build a match between cargo profile and cargo system. The actual maximum capacity utilization of a ship is determined by the compatibility of these two factors. These operational questions are related to the planning and execution of stowage. The objective of this paper is to review container stowage metrics; demonstrate how a cargo profile may affect the productivity of the ship; and, finally, to propose a new metric to evaluate the effectiveness of ship stowage. Our metric is presented through a practical example.

Suggested Citation

  • Petri Helo & Henri Paukku & Tero Sairanen, 2021. "Containership cargo profiles, cargo systems, and stowage capacity: key performance indicators," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(1), pages 28-48, March.
    • Handle: RePEc:pal:marecl:v:23:y:2021:i:1:d:10.1057_s41278-018-0106-z
    DOI: 10.1057/s41278-018-0106-z
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    References listed on IDEAS

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    1. Tran, Nguyen Khoi & Haasis, Hans-Dietrich, 2015. "An empirical study of fleet expansion and growth of ship size in container liner shipping," International Journal of Production Economics, Elsevier, vol. 159(C), pages 241-253.
    2. Imai, Akio & Sasaki, Kazuya & Nishimura, Etsuko & Papadimitriou, Stratos, 2006. "Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks," European Journal of Operational Research, Elsevier, vol. 171(2), pages 373-389, June.
    3. Lehnfeld, Jana & Knust, Sigrid, 2014. "Loading, unloading and premarshalling of stacks in storage areas: Survey and classification," European Journal of Operational Research, Elsevier, vol. 239(2), pages 297-312.
    4. 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.
    5. Bischoff, Eberhard E. & Marriott, Michael D., 1990. "A comparative evaluation of heuristics for container loading," European Journal of Operational Research, Elsevier, vol. 44(2), pages 267-276, January.
    6. Amir Hossein Gharehgozli & Debjit Roy & René de Koster, 2016. "Sea container terminals: New technologies and OR models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(2), pages 103-140, June.
    7. 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.
    8. Meng, Qiang & Du, Yuquan & Wang, Yadong, 2016. "Shipping log data based container ship fuel efficiency modeling," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 207-229.
    9. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    10. Michael Maloni & Jomon Aliyas Paul & David M Gligor, 2013. "Slow steaming impacts on ocean carriers and shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 151-171, June.
    11. J-G Kang & Y-D Kim, 2002. "Stowage planning in maritime container transportation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 415-426, April.
    12. Ancor Suárez-Alemán & Lourdes Trujillo & Kevin P B Cullinane, 2014. "Time at ports in short sea shipping: When timing is crucial," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 399-417, December.
    13. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
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