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Multicriteria and multivariate analysis for port performance evaluation

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  • Madeira, Armando Gonçalves
  • Cardoso, Moacyr Machado
  • Belderrain, Mischel Carmen Neyra
  • Correia, Anderson Ribeiro
  • Schwanz, Silvia Helena

Abstract

Port services are key elements of a country's economy. They provide the necessary infrastructure for the development of industry, business and international trade. In this case, evaluating and improving their performance is essential to achieve international competitiveness. This paper presents a model for obtaining the performance of container terminals based on a multicriteria methodology. Factor analysis was used to reduce the number of criteria and ensure independence among them. The model has proved to be satisfactory in the ordering of container terminals considering the available data on major Brazilian ports from 2006 to 2009, according to the decision maker's values. The proposed method can develop applied models in the port area for any sector in order to evaluate performance. The results and the methodology are useful in supporting port authorities in providing incentives to achieve improvements in efficiency.

Suggested Citation

  • Madeira, Armando Gonçalves & Cardoso, Moacyr Machado & Belderrain, Mischel Carmen Neyra & Correia, Anderson Ribeiro & Schwanz, Silvia Helena, 2012. "Multicriteria and multivariate analysis for port performance evaluation," International Journal of Production Economics, Elsevier, vol. 140(1), pages 450-456.
  • Handle: RePEc:eee:proeco:v:140:y:2012:i:1:p:450-456
    DOI: 10.1016/j.ijpe.2012.06.028
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    7. Claudio Quintano & Paolo Mazzocchi & Antonella Rocca, 2020. "A competitive analysis of EU ports by fixing spatial and economic dimensions," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-19, December.
    8. Rafael Santos Tavares & Lidia Angulo-Meza & Luís Alberto Duncan Rangel & Annibal Parracho Sant’Anna, 2022. "Interdisciplinary graduate programs: application of the MACBETH multicriteria method for assessing their performances," Annals of Operations Research, Springer, vol. 316(2), pages 1383-1399, September.
    9. Facchini, F. & Digiesi, S. & Mossa, G., 2020. "Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making," International Journal of Production Economics, Elsevier, vol. 219(C), pages 164-178.
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    11. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.

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