Abstract

ZAMORA TORRES, América Ivonne  and  GONZALEZ GARCIA, Juan. Key factors of international trade logistics chain of the Mexican Port: Analysis through artificial neural networks. Contad. Adm [online]. 2019, vol.64, n.2.  Epub Dec 10, 2019. ISSN 0186-1042.  https://doi.org/10.22201/fca.24488410e.2018.1494.

Currently, international trade evolves showing different trends, such as the expansion of global value chains that have been reinforced to be more efficient achieving integrated into the world economy with lower costs; thanks to technological advances and improved organizational processes increasing product competitiveness in world markets. The objective of this study is to identify the main elements of five key factors in the logistics chain foreign trade port of Lazaro Cardenas and calculate the predicted value for each factor identifying areas of opportunity and propose improvements and adjustments. The method-ological tool used are artificial neural networks (ANN) through the Multilayer Perceptron processing. The results show that the five variables are highly significant stressing that the office had the lowest weighting thus showing the need for improvement of customs processes in the port, to make it more efficient.

Keywords : C00; F13; F23; H11; Artificial Neural Network (ANN); Supply chain; International trade; Customs; Cost; Time; Storage and transportation.

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