IDEAS home Printed from https://ideas.repec.org/a/pal/marecl/v3y2001i3p262-277.html
   My bibliography  Save this article

A Scheduling Model for a High Speed Containership Service: A Hub and Spoke Short-Sea Application

Author

Listed:
  • H B Bendall

    (Finance and Economics, University of Technology, Kuring-gai Campus, Eton Road, Lindfield NSW 2070, Australia.)

  • A F Stent

    (Finance and Quantitative Analysis, University of Otago, PO Box 56, Dunedin, New Zealand.)

Abstract

Advances in ship technology must be demonstrably beneficial and profitable before shipowners invest. Since the capital costs are large, investment in new technology will tend to be incremental rather than radical and will be affected by the financial viability of the service in which the ship is employed. While operating costs depend on the technology used for a given freight task, revenue from operations depends on transit time, frequency of service, freight rates, and volume of containers carried. Although high speed vessels (40 knots+) carry small payloads over short distances, this disadvantage can be offset by the greater number of round voyages achievable over a given period. After examining factors influencing the demand for fast cargo services, a high speed cargo ship design is described along with appropriate cargo handling and terminal operations. Using a mixed integer programming approach, an optimisation model is used to determine the profitability of a short-haul hub and spoke feeder operation based on Singapore. The model is used to calculate the optimum number of ships required to meet the given distribution task, the most profitable deployment of the fleet and the profitability over the planning horizon. International Journal of Maritime Economics (2001) 3, 262–277. doi: 10.1057/palgrave.ijme.9100018

Suggested Citation

  • H B Bendall & A F Stent, 2001. "A Scheduling Model for a High Speed Containership Service: A Hub and Spoke Short-Sea Application," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 3(3), pages 262-277, September.
    • Handle: RePEc:pal:marecl:v:3:y:2001:i:3:p:262-277
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/mel/journal/v3/n3/pdf/9100018a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: http://www.palgrave-journals.com/mel/journal/v3/n3/full/9100018a.html
    File Function: Link to full text HTML
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Diego Cattaruzza & Nabil Absi & Dominique Feillet, 2018. "Vehicle routing problems with multiple trips," Annals of Operations Research, Springer, vol. 271(1), pages 127-159, December.
    2. Mattfeld, D. C. & Kopfer, H., 2003. "Terminal operations management in vehicle transshipment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(5), pages 435-452, June.
    3. Diego Cattaruzza & Nabil Absi & Dominique Feillet, 2016. "Vehicle routing problems with multiple trips," 4OR, Springer, vol. 14(3), pages 223-259, September.
    4. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    5. Endre Boros & Lei Lei & Yao Zhao & Hua Zhong, 2008. "Scheduling vessels and container-yard operations with conflicting objectives," Annals of Operations Research, Springer, vol. 161(1), pages 149-170, July.
    6. Manuel Herrera & Per J. Agrell & Casiano Manrique-de-Lara-Peñate & Lourdes Trujillo, 2017. "Vessel capacity restrictions in the fleet deployment problem: an application to the Panama Canal," Annals of Operations Research, Springer, vol. 253(2), pages 845-869, June.
    7. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    8. Christine Natalia & Benediktus Elnath Aldi & Stefani Prima Dyas & Agustinus Silalahi, 2016. "Sea Shipping Network Structures Identification and Analysis in Indonesia," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 2(2), pages 38-46.
    9. Rau, Philipp & Spinler, Stefan, 2016. "Investment into container shipping capacity: A real options approach in oligopolistic competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 130-147.
    10. Junayed Pasha & Maxim A. Dulebenets & Masoud Kavoosi & Olumide F. Abioye & Oluwatosin Theophilus & Hui Wang & Raphael Kampmann & Weihong Guo, 2020. "Holistic tactical-level planning in liner shipping: an exact optimization approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-35, December.
    11. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    12. Kjetil Fagerholt *, 2004. "Designing optimal routes in a liner shipping problem," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(4), pages 259-268, October.
    13. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Containership scheduling with transit-time-sensitive container shipment demand," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 68-83.
    14. Olumide F. Abioye & Maxim A. Dulebenets & Junayed Pasha & Masoud Kavoosi, 2019. "A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas," Energies, MDPI, vol. 12(12), pages 1-28, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:marecl:v:3:y:2001:i:3:p:262-277. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.