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

H B Bendall () and A F Stent ()
Additional contact information
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.

Maritime Economics & Logistics, 2001, vol. 3, issue 3, 262-277

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

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://www.palgrave-journals.com/mel/journal/v3/n3/pdf/9100018a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/mel/journal/v3/n3/full/9100018a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:marecl:v:3:y:2001:i:3:p:262-277

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/41278/PS2

Access Statistics for this article

Maritime Economics & Logistics is currently edited by Hercules E. Haralambides

More articles in Maritime Economics & Logistics from Palgrave Macmillan, International Association of Maritime Economists (IAME) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().