<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0186-1042</journal-id>
<journal-title><![CDATA[Contaduría y administración]]></journal-title>
<abbrev-journal-title><![CDATA[Contad. Adm]]></abbrev-journal-title>
<issn>0186-1042</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0186-10422019000300007</article-id>
<article-id pub-id-type="doi">10.22201/fca.24488410e.2018.1494</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Factores clave de la cadena logística del comercio exterior de un puerto mexicano: análisis a través de redes neuronales artificiales]]></article-title>
<article-title xml:lang="en"><![CDATA[Key factors of international trade logistics chain of the Mexican Port: Analysis through artificial neural networks]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zamora Torres]]></surname>
<given-names><![CDATA[América Ivonne]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González García]]></surname>
<given-names><![CDATA[Juan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Michoacana de San Nicolás de Hidalgo  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Colima  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>64</volume>
<numero>2</numero>
<fpage>0</fpage>
<lpage>0</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0186-10422019000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0186-10422019000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0186-10422019000300007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Actualmente, el comercio internacional evoluciona, mostrando una mayor expansión de las cadenas de valor mundiales, que se han reforzado logrando ser más eficientes integrándose a la economía mundial con costos más bajos; gracias a los avances tecnológicos y la mejora de los procesos organizacionales, se ha aumentado la competitividad de los productos en los mercados mundiales. El objetivo de este trabajo es identificar los principales elementos de cinco factores clave de la cadena logística del comercio exterior del puerto de Lázaro Cárdenas y calcular el valor pronosticado para cada factor, identificando las áreas de oportunidad y proponer mejoras y adecuaciones. Para lo cual se utiliza la metodología de redes neuronales artificiales (RNA) a través del procesamiento perceptrón multicapa. Los resultados muestran la existencia de cinco variables, las cuales son altamente significativas, destacando de entre ellas la aduana que, obtuvo la ponderación más baja, lo que indica la necesidad de mejora de los procesos aduanales en el puerto, para hacerlo más eficiente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract 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.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[C00]]></kwd>
<kwd lng="es"><![CDATA[F13]]></kwd>
<kwd lng="es"><![CDATA[F23]]></kwd>
<kwd lng="es"><![CDATA[H1]]></kwd>
<kwd lng="es"><![CDATA[Redes neuronales artificiales (RNA)]]></kwd>
<kwd lng="es"><![CDATA[cadena logística]]></kwd>
<kwd lng="es"><![CDATA[comercio internacional]]></kwd>
<kwd lng="es"><![CDATA[aduanas]]></kwd>
<kwd lng="es"><![CDATA[costos]]></kwd>
<kwd lng="es"><![CDATA[tiempo]]></kwd>
<kwd lng="es"><![CDATA[almacenaje y transporte]]></kwd>
<kwd lng="en"><![CDATA[C00]]></kwd>
<kwd lng="en"><![CDATA[F13]]></kwd>
<kwd lng="en"><![CDATA[F23]]></kwd>
<kwd lng="en"><![CDATA[H11]]></kwd>
<kwd lng="en"><![CDATA[Artificial Neural Network (ANN)]]></kwd>
<kwd lng="en"><![CDATA[Supply chain]]></kwd>
<kwd lng="en"><![CDATA[International trade]]></kwd>
<kwd lng="en"><![CDATA[Customs]]></kwd>
<kwd lng="en"><![CDATA[Cost]]></kwd>
<kwd lng="en"><![CDATA[Time]]></kwd>
<kwd lng="en"><![CDATA[Storage and transportation]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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