Sizing a fleet of containerships for a given market

Author:

Silva Carlos A,Guedes Soares Carlos

Abstract

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.

Publisher

Faculty of Transport and Traffic Sciences

Subject

Engineering (miscellaneous),Ocean Engineering,Civil and Structural Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Numerical simulation and experimental study on marine cabin's ventilation for reefer containers;International Journal of Refrigeration;2022-01

2. Methodology for ro-ro ship and fleet sizing with application to short sea shipping;Maritime Policy & Management;2017-07-17

3. Sequential ship traffic scheduling model for restricted two-way waterway transportation;Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment;2016-08-03

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