<?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>S0186-10422016000300499</article-id>
<article-id pub-id-type="doi">10.1016/j.cya.2015.11.008</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Variabilidad de la demanda del tiempo de entrega, existencias de seguridad y costo del inventario]]></article-title>
<article-title xml:lang="en"><![CDATA[Lead time demand variability, safety stock and the inventory cost]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Izar Landeta]]></surname>
<given-names><![CDATA[Juan Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ynzunza Cortés]]></surname>
<given-names><![CDATA[Carmen Berenice]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guarneros García]]></surname>
<given-names><![CDATA[Orlando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de San Luis Potosí  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Tecnológica de Querétaro  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2016</year>
</pub-date>
<volume>61</volume>
<numero>3</numero>
<fpage>499</fpage>
<lpage>513</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0186-10422016000300499&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0186-10422016000300499&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0186-10422016000300499&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Este trabajo tiene como objetivo analizar los efectos que la variabilidad de la demanda del tiempo de entrega tiene sobre las existencias de seguridad y el costo del inventario de artículos. El análisis se aplica a 2 productos para los cuales se tiene información, uno con distribución normal de la demanda del tiempo de entrega y el otro con distribución uniforme. Los costos analizados son el de mantenimiento del inventario de seguridad y el de los faltantes que hay cuando la demanda de los consumidores supera las existencias. El inventario de seguridad se establece en aquel valor que minimice la suma de los 2 costos antes comentados, luego se analiza cómo afecta a este valor la variabilidad de la demanda. Los resultados han sido similares para los 2 productos analizados. Con más variabilidad de la demanda, las existencias de seguridad aumentan de manera lineal, sin que se modifique este comportamiento en caso de variar la estructura de los costos de mantenimiento y faltantes. Asimismo, con más variabilidad de la demanda el costo mínimo local aumenta, en mayor grado para el artículo con distribución normal. El nivel de servicio de costo mínimo se localiza en un valor por debajo del 100% para ambos artículos: 94.5% para el de distribución normal y 96% para el de distribución uniforme. Para los 2 artículos se ha dado una relación inversa entre el nivel de servicio de costo mínimo y la razón del costo de mantenimiento y faltantes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The objective of this research is to investigate the impacts of the lead-time demand variability on the safety stock and the inventory cost. The analysis is applied to two products for which data is available, one with a normal distribution of lead time demand and the other with uniform distribution. The costs analyzed are the safety stock maintenance and the shortages when the consumer demand exceeds availability. The safety stock is set at the value that minimizes the sum of the two previously mentioned costs and is then analyzed how the demand variability affects this stock. The results were similar for the two products tested. With more demand variability, safety stock increases linearly; this behavior is maintained, even if the cost structure of maintenance or shortages are modified. Likewise, with more demand variability the minimum cost increases to a greater extent for the item with a normal distribution. The service level of the minimum cost is located at a value below 100% for both items, 94.5% for the normal distribution item and 96% for the uniform distribution item. In summary, the two articles exhibited an inverse relationship between the service level of the minimum cost and the ratio of the maintenance cost and the shortages.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Safety stock]]></kwd>
<kwd lng="en"><![CDATA[Lead time demand]]></kwd>
<kwd lng="en"><![CDATA[Demand variability]]></kwd>
<kwd lng="en"><![CDATA[Service level]]></kwd>
<kwd lng="en"><![CDATA[Inventory costs]]></kwd>
<kwd lng="es"><![CDATA[Inventario de seguridad]]></kwd>
<kwd lng="es"><![CDATA[Demanda del tiempo de entrega]]></kwd>
<kwd lng="es"><![CDATA[Variabilidad de la demanda]]></kwd>
<kwd lng="es"><![CDATA[Nivel de servicio]]></kwd>
<kwd lng="es"><![CDATA[Costos del inventario]]></kwd>
</kwd-group>
</article-meta>
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<source><![CDATA[Production and operations management]]></source>
<year>2010</year>
<volume>19</volume>
<page-range>480-4</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
