An Evaluation of Brazilian Ports for Corn Export Using Multicriteria Analysis - Advances in Production Management Systems. Production Management for the Factory of the Future Access content directly
Conference Papers Year : 2019

An Evaluation of Brazilian Ports for Corn Export Using Multicriteria Analysis

Abstract

Brazilian corn production has an expressive participation in world trade stage. Agribusiness has been growing and gaining an important position for economy in Brazil. The Brazilian corn harvest for 2017–2018 was 82 million tons, placing Brazil as the third largest global producer behind China and the United States. This study compares four south and southeast Brazilian corn exportation ports according to their operations, infrastructure and geographic position. A multicriteria decision tree was established and, with the analytical hierarchy process (AHP) tool, an informational database, and considering expert opinions about the gathered data, we were able to determine which ports are the better choices for corn exportation. Surprisingly, Rio Grande took a better place than Paranaguá’s port. Its operations and infrastructure nodes have the same weight in terms of decision making. However, a port’s geographical position has a very weak decision-make importance. Furthermore, Rio Grande is almost three times better than Paranaguá in Water Depth and this made Rio Grande beat Paranaguá from an infrastructure point of view. So, the operations node was the point to pay attention to, and this is the main reason for Rio Grande’s position.
Fichier principal
Vignette du fichier
489100_1_En_17_Chapter.pdf (4.38 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02419223 , version 1 (19-12-2019)

Licence

Attribution

Identifiers

Cite

Aguinaldo Souza, João Junior, João Reis, Ataide Junior, Paula Cruz Correia, et al.. An Evaluation of Brazilian Ports for Corn Export Using Multicriteria Analysis. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.129-134, ⟨10.1007/978-3-030-30000-5_17⟩. ⟨hal-02419223⟩
70 View
33 Download

Altmetric

Share

Gmail Facebook X LinkedIn More