Evaluation of the efficiency of terminals that movement containers in brazil: a combined approach
The maritime transport is of great importance for Brazilians’ national economic development, mainly in an international scenario of globalization. Specialized container terminals are highly relevant in this context, since they represent the main link of cargo handling by means of containers, which u...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Brasil |
| Institución: | Associação Brasileira de Engenharia de Produção (ABEPRO) |
| Repositorio: | Revista Produção Online |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.producaoonline.org.br:article/2761 |
| Acceso en línea: | https://www.producaoonline.org.br/rpo/article/view/2761 |
| Access Level: | acceso abierto |
| Palabra clave: | Container Terminals. Efficiency. Combined Approach. DEA. Cognitive Maps Terminais de Contêineres. Eficiência. Abordagem Combinada. DEA. Mapas Cognitivos. |
| Sumario: | The maritime transport is of great importance for Brazilians’ national economic development, mainly in an international scenario of globalization. Specialized container terminals are highly relevant in this context, since they represent the main link of cargo handling by means of containers, which usually carry goods of higher added value. Therefore, the evaluation of the efficiency of these terminals is of great importance. Despite some papers have been using Data Envelopment Analysis (DEA) to measure the efficiency of port terminals in a quantitative approach, the mathematical limitations of this modelling do not allow the use of many variables. In this case, the use of cognitive maps, in a qualitative approach, allows to identify other variables that are relevant for a more complete analysis of efficiency. The aim of this report is to articulate a quantitative approach to a qualitative one, generating a combined approach that might allow a broader and more complete analysis of the relevant variables that operate in the container handling port sector, enabling a better understanding of efficiency in this important sector. |
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