<?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>1405-7743</journal-id>
<journal-title><![CDATA[Ingeniería, investigación y tecnología]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. invest. y tecnol.]]></abbrev-journal-title>
<issn>1405-7743</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-77432023000100007</article-id>
<article-id pub-id-type="doi">10.22201/fi.25940732e.2023.24.1.007</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aplicación de la metodología Lean Six Sigma para disminuir desperdicios en una unidad de fabricación de páneles modulares de poliestireno]]></article-title>
<article-title xml:lang="en"><![CDATA[Application of lean Six Sigma methodology to reduce waste in a polystyrene modular panel manufacturing unit]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marín-Calderón]]></surname>
<given-names><![CDATA[Ana Victoria]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Valenzuela-Galván]]></surname>
<given-names><![CDATA[Margarita]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuamea-Cruz]]></surname>
<given-names><![CDATA[Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brau-Ávila]]></surname>
<given-names><![CDATA[Agustín]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Sonora Departamento de Ingeniería Industrial ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Sonora Departamento de Ingeniería Industrial ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Sonora Departamento de Ingeniería Industrial ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad de Sonora Departamento de Ingeniería Industrial ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2023</year>
</pub-date>
<volume>24</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-77432023000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-77432023000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-77432023000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La metodología Lean Six Sigma es popularmente conocida en el giro industrial como una forma de reducir la variación en los procesos productivos, donde, mediante el uso de herramientas de las filosofías Esbelta y Seis Sigma, se busca mejorar la calidad de los productos o servicios al menor coste posible. Si bien existen diferentes estrategias, Lean Six Sigma se ha vuelto sumamente llamativa en los últimos años por la eficiencia y magnitud de sus resultados. En este trabajo se presenta la aplicación de dicha metodología en una empresa dedicada a la fabricación de artículos de construcción, donde, el enfoque se ha dirigido al área de páneles modulares con el fin de reducir el alto porcentaje de desperdicios presentados. Durante la aplicación se lograron identificar diferentes variables que poseían un efecto significativo en el producto final, de esta manera, fue posible determinar las mejores herramientas que apoyaran al proceso productivo para mejorarlo y finalmente controlarlo. Entre estas herramientas se encuentran dos estudios R&amp;R, los cuales identificaron que el sistema de medición poseía un 81 % de confiabilidad y confirmaron su incremento a 98 % después de las mejoras aplicadas. Asimismo, se desarrolló un diseño de experimentos que estableció un nuevo estándar para disminuir el principal defecto presentado en el producto, logrando obtener un modelo matemático capaz de predecir respuestas a nuevas observaciones en un 90.45 %. Finalmente, después de 3 meses de observación se obtuvo una reducción de 66 % de los DPMO, lo que confirmó la efectividad de la metodología y la magnitud de sus beneficios.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The Lean Six Sigma methodology is popularly known in the industrial field as a way to reduce variation in production processes, the aim is to improve quality of products or services by using tools from Lean and Six Sigma philosophies, considering the lowest cost possible. Although, there are different strategies, this methodology has become extremely striking in recent years due to the efficiency and magnitude of its results. This paper presents the application of Lean Six Sigma methodology in a company dedicated to the manufacture of construction items, where the focus has been directed to the area of modular panels in order to reduce the high percentage of waste presented. During the application, it was possible to identify different variables that had a significant effect on the final product, in this way, it was possible to determine the best tools that supported the production process to improve it and finally control it. Among these tools are two R&amp;R studies, which identified that the measurement system had 81 % reliability and confirmed its increase to 98 % after improvements were applied. Likewise, a design of experiments was developed to established a new standard to reduce the main defect presented in the product, obtaining a mathematical model capable of predicting responses to new observations by 90.45 %. Finally, after 3 months of observation, a 66 % reduction in DPMO was obtained, confirming the effectiveness of the methodology and the magnitude of its benefits.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Lean Six Sigma]]></kwd>
<kwd lng="es"><![CDATA[manufactura esbelta]]></kwd>
<kwd lng="es"><![CDATA[mejora continua]]></kwd>
<kwd lng="es"><![CDATA[calidad]]></kwd>
<kwd lng="es"><![CDATA[DMAIC]]></kwd>
<kwd lng="es"><![CDATA[diseño de experimentos]]></kwd>
<kwd lng="en"><![CDATA[Lean Six Sigma]]></kwd>
<kwd lng="en"><![CDATA[lean manufacturing]]></kwd>
<kwd lng="en"><![CDATA[continuous improvement]]></kwd>
<kwd lng="en"><![CDATA[quality]]></kwd>
<kwd lng="en"><![CDATA[DMAIC]]></kwd>
<kwd lng="en"><![CDATA[design of experiments]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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