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Ship scheduling and routing optimization. An application to Western Mediterranean area


  • Catalani, Mauro


The objective of the paper, knowing the number of ports and ship fleet, is to optimises maritime transport routing of a containership, based on demand scheduling to each port of call, using the expert system approach with owner utility function (McFadden D. 2000). All that needs the operative cost of ships employed and their technical characteristics. The problem solution will be given, for each ship of the fleet, by routing of the ships, container movement for each port of call and transport cost. This paper proposes the use of a methodology based on an expert system computation program with a random utility function of a ship-owner operating in a maritime network mapped by geographical information system GIS (Catalani M. 2001).

Suggested Citation

  • Catalani, Mauro, 2009. "Ship scheduling and routing optimization. An application to Western Mediterranean area," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 67-82.
  • Handle: RePEc:sot:journl:y:2009:i:42:p:67-82

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    References listed on IDEAS

    1. Steve Engelen & Hilda Meersman & Eddy Van De Voorde, 2006. "Using system dynamics in maritime economics: an endogenous decision model for shipowners in the dry bulk sector," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(2), pages 141-158, May.
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    Cited by:

    1. Wang, Hua & Wang, Shuaian & Meng, Qiang, 2014. "Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 261-273.

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    Maritime; Networking; Feeder; Optimisation;


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