<?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>1794-1237</journal-id>
<journal-title><![CDATA[Revista EIA]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.EIA.Esc.Ing.Antioq]]></abbrev-journal-title>
<issn>1794-1237</issn>
<publisher>
<publisher-name><![CDATA[Escuela de ingenieria de Antioquia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1794-12372020000100131</article-id>
<article-id pub-id-type="doi">10.24050/reia.v17i33.1348</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Approach for profiling warehousing activity using customer's order data history]]></article-title>
<article-title xml:lang="es"><![CDATA[Enfoque para perfilar la actividad de almacenamiento usando la información histórica de las órdenes de los clientes]]></article-title>
<article-title xml:lang="pt"><![CDATA[Abordagem para caracterização da atividade de armazenagem usando o histórico de dados do pedido do cliente]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[OSORIO]]></surname>
<given-names><![CDATA[LAURA]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[SUÁREZ]]></surname>
<given-names><![CDATA[JUAN J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MONTOYA]]></surname>
<given-names><![CDATA[ALEJANDRO]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[ARRIETA-POSADA]]></surname>
<given-names><![CDATA[JUAN GREGORIO]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad EAFIT Production Engineering Department ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad EAFIT Systems Engineering Department ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<volume>17</volume>
<numero>33</numero>
<fpage>131</fpage>
<lpage>140</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1794-12372020000100131&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1794-12372020000100131&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1794-12372020000100131&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In a supply chain, the warehousing process represents a significant percentage of the total logistics costs. Making objective decisions in this activity plays an important role because they are translated into improvement of the process or into making the process cost-effective. Therefore, before making decisions, it is necessary to provide a systematic analysis and a statistical measurement of the process. In this study, we present an approach for profiling the warehousing activity based on the customer's order history. This approach is a quantitative analysis for characterizing the warehousing activity according to the number of lines per order and the affinity in a set of orders. For estimating the order affinity, we present a novel procedure. The result of this approach are clusters that identify the different profiles of orders in the warehousing activity. Finally, we present a numerical case of study to illustrate the application of the presented approach.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En una cadena de suministro, el proceso de almacenamiento representa un porcentaje significativo en los costos logísticos. En esta actividad, la toma objetiva de decisiones juega un importante rol, porque permite el mejoramiento de los procesos y la reducción de costos. Por esta razón, antes de la toma de decisiones es necesario realizar un análisis sistemático y estadístico del proceso. En este estudio, se presenta un enfoque cuantitativo para perfilar la actividad de almacenamiento, usando la información histórica de las órdenes de los clientes. Para caracterizar las órdenes, se evalúan el número de líneas por orden y la afinidad en un conjunto de órdenes. Adicionalmente, para estimar la afinidad entre órdenes, se presenta un nuevo procedimiento. El resultado, es un conjunto de grupos, los cuáles, identifican diferentes perfiles de órdenes en la actividad de almacenamiento. Finalmente, se desarrolla un caso de estudio donde se realiza la aplicación del enfoque presentado.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Em uma Cadeia de Suprimentos, o processo de armazenagem representa uma porcentagem significativa do custo logístico total. A objetividade na tomada de decisão nessa atividade desempenha um papel importante, pois elas são traduzidas em melhorias no processo ou em processos economicamente viáveis. Portanto, antes da tomada de decisão, faz-se necessária tanto uma análise sistemática quanto uma medição estatística do processo. Neste estudo, apresentamos uma abordagem para traçar o perfil da atividade de armazenagem com base no histórico de pedidos do cliente. Essa abordagem é uma análise quantitativa que caracteriza a atividade de armazenagem de acordo com o número de linhas por pedido e a afinidade em um conjunto de pedidos. Para estimar a afinidade dos pedidos, apresentamos um novo procedimento. 0 resultado dessa abordagem são clusters que identificam os diferentes perfis de pedidos na atividade de armazenagem. Por fim, apresentamos um caso de estudo numérico para ilustrar a aplicação da abordagem apresentada.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Approach for profiling]]></kwd>
<kwd lng="en"><![CDATA[Warehousing activity profiling]]></kwd>
<kwd lng="en"><![CDATA[Customer's order data]]></kwd>
<kwd lng="en"><![CDATA[Order affinity]]></kwd>
<kwd lng="es"><![CDATA[Enfoque para perfilar]]></kwd>
<kwd lng="es"><![CDATA[Perfilado de la actividad de almacenamiento]]></kwd>
<kwd lng="es"><![CDATA[Información de las órdenes de los clientes]]></kwd>
<kwd lng="es"><![CDATA[Afinidad de las órdenes]]></kwd>
<kwd lng="pt"><![CDATA[Abordagem para representação de perfil]]></kwd>
<kwd lng="pt"><![CDATA[Perfil de atividade de armazenagem]]></kwd>
<kwd lng="pt"><![CDATA[Dados de pedido do cliente]]></kwd>
<kwd lng="pt"><![CDATA[Afinidade do pedido]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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