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Promet - Traffic&Transportation, Vol. 26 No. 4, 2014

Review article
https://doi.org/10.7307/ptt.v26i4.1387

Sizing a fleet of containerships for a given market

Carlos A Silva ; Centre for Marine Engineering and Technology (CENTEC), Instituto Superior Técnico, Universidade de Lisboa,
Carlos Guedes Soares ; Centre for Marine Technology and Engineering (CENTEC)Instituto Superior Técnico, Universidade de LisboaAvenida Rovisco Pais1049-001 Lisboa

Fulltext: english, PDF (815 KB) pages 333-344 downloads: 426* cite
APA 6th Edition
A Silva, C. & Guedes Soares, C. (2014). Sizing a fleet of containerships for a given market. Promet - Traffic&Transportation, 26 (4), 333-344. https://doi.org/10.7307/ptt.v26i4.1387
MLA 8th Edition
A Silva, Carlos and Carlos Guedes Soares. "Sizing a fleet of containerships for a given market." Promet - Traffic&Transportation, vol. 26, no. 4, 2014, pp. 333-344. https://doi.org/10.7307/ptt.v26i4.1387. Accessed 16 Mar. 2021.
Chicago 17th Edition
A Silva, Carlos and Carlos Guedes Soares. "Sizing a fleet of containerships for a given market." Promet - Traffic&Transportation 26, no. 4 (2014): 333-344. https://doi.org/10.7307/ptt.v26i4.1387
Harvard
A Silva, C., and Guedes Soares, C. (2014). 'Sizing a fleet of containerships for a given market', Promet - Traffic&Transportation, 26(4), pp. 333-344. https://doi.org/10.7307/ptt.v26i4.1387
Vancouver
A Silva C, Guedes Soares C. Sizing a fleet of containerships for a given market. Promet - Traffic&Transportation [Internet]. 2014 [cited 2021 March 16];26(4):333-344. https://doi.org/10.7307/ptt.v26i4.1387
IEEE
C. A Silva and C. Guedes Soares, "Sizing a fleet of containerships for a given market", Promet - Traffic&Transportation, vol.26, no. 4, pp. 333-344, 2014. [Online]. https://doi.org/10.7307/ptt.v26i4.1387

Abstracts
The potential growth found inthe short sea shipping sector motivated the development of a methodology usedas a decision support tool in which both the parameters regarding the demand ofmarkets and the characteristics of the fleet may be tested for its evaluation.It is also possible to determine the fleet deployment, establishing its routesand scales in the ports for a particular scenario. The considered methodologymay be divided in two parts, being the first one related with the generation ofall feasible routes, alongside all the parameters specific to each route foreach vessel class. The second part is the introduction of a linear programmingmodel that maximizes the shipping operation’s total profit, according a givenset of restrictions. The models were structured according to three main criteria:the evaluation of the fleet for each vessel’s class; the optimal route for eachvessel and the frequency in each port. To provide the methodology’s validation,the developed models shall be submitted to a fictitious operational scenario,considering three different situations: the fleet’s normal operation; aparametric variation of required demand for the same fleet composition; anevaluation of several fleet compositions for the same demand level.

Keywords
containerships; fleet design; linear programing; mixed integer programing

Hrčak ID: 130130

URI
https://hrcak.srce.hr/130130

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