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Ship assignment with hub and spoke constraints

Author

Listed:
  • M. C. Moura O
  • M. V. Pato
  • A. C. Paixa O

Abstract

As the shipping industry enters the future, an increasing number of technological developments are being introduced into this market. This has led to a significant change in business operations, such as the innovative design of hub and spoke systems, resulting in cargo consolidation and a better use of the ship's capacity. In the light of this new scenario, the authors present a successful application of integer linear programming to support the decision-making process of assigning ships to previously defined voyages — the rosters. The tool used to build the final models was the MS-Excel Solver (Microsoft® Excel 97 SR-2, 1997), a package that enabled the real case studies addressed to be solved. The results of the experiment prompted the authors to favour the assignment of very small fleets, as opposed to the existing high number of ships employed in such real trades,

Suggested Citation

  • M. C. Moura O & M. V. Pato & A. C. Paixa O, 2002. "Ship assignment with hub and spoke constraints," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(2), pages 135-150, April.
  • Handle: RePEc:taf:marpmg:v:29:y:2002:i:2:p:135-150
    DOI: 10.1080/03088830110078364
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    Cited by:

    1. Lam, Jasmine Siu Lee & Yap, Wei Yim, 2011. "Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1272-1281.
    2. Nguyen Khoi Tran & Hans-Dietrich Haasis & Tobias Buer, 2017. "Container shipping route design incorporating the costs of shipping, inland/feeder transport, inventory and CO2 emission," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 667-694, December.
    3. Sayyed Hassan Hatami Nasab & Ali Sanayei & S. F. Amiri Aghdaei & Ali Kazemi, 2016. "Using Dry Ports to Facilitate International Trade in Iran; A Model of Success Factors for Implementation of Dry Ports," Modern Applied Science, Canadian Center of Science and Education, vol. 10(3), pages 155-155, March.
    4. Qiang Meng & Tingsong Wang & Shuaian Wang, 2015. "Multi-period liner ship fleet planning with dependent uncertain container shipment demand," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 43-67, January.
    5. Godson Okpara & Hope Okpara, Esq, 2022. "Influence of Government Policy on Law for Sustainability of Dry Ports in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(7), pages 465-478, 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. Dong, Jing-Xin & Lee, Chung-Yee & Song, Dong-Ping, 2015. "Joint service capacity planning and dynamic container routing in shipping network with uncertain demands," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 404-421.
    8. Roso, Violeta & Woxenius, Johan & Lumsden, Kenth, 2009. "The dry port concept: connecting container seaports with the hinterland," Journal of Transport Geography, Elsevier, vol. 17(5), pages 338-345.
    9. Wei Yim Yap *† & Jasmine S. L. Lam, 2004. "An interpretation of inter-container port relationships from the demand perspective," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(4), pages 337-355, October.
    10. Qiang Meng & Tingsong Wang, 2010. "A chance constrained programming model for short-term liner ship fleet planning problems," Maritime Policy & Management, Taylor & Francis Journals, vol. 37(4), pages 329-346, July.
    11. Bask, Anu & Roso, Violeta & Andersson, Dan & Hämäläinen, Erkki, 2014. "Development of seaport–dry port dyads: two cases from Northern Europe," Journal of Transport Geography, Elsevier, vol. 39(C), pages 85-95.

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