<?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>2007-8064</journal-id>
<journal-title><![CDATA[Entreciencias: diálogos en la sociedad del conocimiento]]></journal-title>
<abbrev-journal-title><![CDATA[Entreciencias: diálogos soc. conoc.]]></abbrev-journal-title>
<issn>2007-8064</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Escuela Nacional de Estudios Superiores]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-80642022000100311</article-id>
<article-id pub-id-type="doi">10.22201/enesl.20078064e.2022.24.81259</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Identificación de patrones de demanda de refacciones automotrices]]></article-title>
<article-title xml:lang="en"><![CDATA[Demand pattern identification of automotive spare parts]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montes de Oca Sánchez]]></surname>
<given-names><![CDATA[Erika]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Loza-Hernández]]></surname>
<given-names><![CDATA[Lourdes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma del Estado de México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>10</volume>
<numero>24</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-80642022000100311&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-80642022000100311&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-80642022000100311&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo:  Clasificar el tipo de demanda de los productos colocados en el mercado por empresas de autopartes en México, enfocadas al ensamble y venta de autopartes a nivel nacional e internacional, lo cual es la base para el adecuado abastecimiento de los insumos en la cadena de suministro de estudio.  Diseño metodológico:  De un total de 14,895 productos fueron seleccionados a través del método ABC 326 componentes, para realizar el análisis de patrones de demanda. El análisis de patrones de demanda se realizó de acuerdo con el intervalo promedio entre demandas y el coeficiente de variación cuadrada, utilizando las demandas mensuales de cada producto.  Resultados:  El análisis probabilístico de la demanda de los 14 895 productos, muestra patrones de demanda suavizados (63.80%), erráticos (19.94%), irregulares (11.35%) e intermitentes (4.91%), de lo cual se concluye que los patrones de demanda para estas empresas son principalmente de tipo suavizado.  Limitaciones de la investigación:  El análisis probabilístico realizado se basa en los datos proporcionados por tres empresas de la industria de venta de autopartes en México, de los cuales después del análisis ABC solo se consideraron los artículos de la categoría A para los resultados obtenidos. Proponer una técnica diferente al análisis ABC queda limitado por el tipo de datos proporcionados por las empresas.  Hallazgos:  Debido a la cantidad de factores que intervienen en la variabilidad de la demanda, es de suma importancia apoyarse de herramientas que ayuden a alcanzar pronósticos de demanda confiables, manteniendo a las empresas competitivas en la calidad del servicio al cliente. Además, la complejidad en la predicción de repuestos automotriz es un reto que en la actualidad enfrenta la industria automotriz. La clasificación de los patrones de demanda resultantes del estudio, permiten seleccionar un método de pronóstico adecuado para cada patrón y mejorar las condiciones de la cadena de suministro de las diferentes empresas. Este tipo de estudios y análisis de datos permite mejorar la toma de decisiones de los encargados del suministro de los componentes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Purpose:  To classify the type of product demand placed on the market by auto parts companies in Mexico focusing on the assembly and sale of auto parts at national and international level, which is the basis for the adequate provision of materials in the studied supply chain.  Methodologyical design:  From a total of 14,895 products, 326 components were selected through the ABC method to perform the demand pattern analysis which was carried out according to the average demand interval and the square coefficient of variation using the monthly demands of each product.  Results:  The probabilistic analysis of the demand for the 14,895 products shows smoothed (63.80%), erratic (19.94%), lumpy (11.35%) and intermittent (4.91%) demand patterns from which it is concluded that the demand patterns for these companies are mainly of the smoothed type.  Research limitations:  The probabilistic analysis conducted is based on the data provided by three autoparts companies in México, of which, after the ABC analysis, only the articles of category A were considered for the results obtained. Proposing a different technique other than ABC analysis is limited by the type of data provided by companies.  Findings:  Due to the number of factors involved in demand variability, it is vital to rely on tools that aid in reaching trustworthy demand forecasts, maintaining companies competitive in customer service quality. Further, the complexity of forecasting automotive spare parts is a challenge which the automotive industry is currently facing. The classification of demand patterns resulting from the study allows for the selection of an appropriate forecasting method for each pattern and improvement of supply conditions of the different companies. This type of study and data analysis permits better decision-making by those responsible for the supply components.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[demanda]]></kwd>
<kwd lng="es"><![CDATA[autopartes]]></kwd>
<kwd lng="es"><![CDATA[cadena de suministro]]></kwd>
<kwd lng="es"><![CDATA[patrones de demanda]]></kwd>
<kwd lng="en"><![CDATA[Demand]]></kwd>
<kwd lng="en"><![CDATA[spare parts]]></kwd>
<kwd lng="en"><![CDATA[supply chain]]></kwd>
<kwd lng="en"><![CDATA[demand patterns]]></kwd>
</kwd-group>
</article-meta>
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