Abstract This paper proposes a more realistic multi-period liner ship fleet planning problem for a liner container shipping company than has been studied in previous literature. The proposed problem is formulated as a scenario-based dynamic programming model consisting of a number of integer linear programming formulations for each single planning period, and the model can be solved efficiently by a shortest path algorithm on an acyclic network. A numerical example is carried out to illustrate the applicability of the proposed model and solution method. The numerical results show that chartering in ships may not always be a better policy for a long-term planning horizon though it is much cheaper than buying ships in the short-term. Purchasing ships seems to be a more profitable investment in the long run.
A scenario-based dynamic programming model for multi-period liner ship fleet planning
Transportation Research Part E: Logistics and Transportation Review ; 47 , 4 ; 401-413
2010-11-16
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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