<?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>0012-7353</journal-id>
<journal-title><![CDATA[DYNA]]></journal-title>
<abbrev-journal-title><![CDATA[Dyna rev.fac.nac.minas]]></abbrev-journal-title>
<issn>0012-7353</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0012-73532023000500019</article-id>
<article-id pub-id-type="doi">10.15446/dyna.v90n229.107557</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Designing a process quality control framework using Monte Carlo simulation]]></article-title>
<article-title xml:lang="es"><![CDATA[Diseño de un sistema de control de calidad de procesos usando simulación Monte Carlo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morán-Zabala]]></surname>
<given-names><![CDATA[Jean P.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cogollo-Flórez]]></surname>
<given-names><![CDATA[Juan M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico Metropolitano - ITM  ]]></institution>
<addr-line><![CDATA[Medellín ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>90</volume>
<numero>229</numero>
<fpage>19</fpage>
<lpage>24</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0012-73532023000500019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0012-73532023000500019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0012-73532023000500019&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Quality control seeks to collect and analyze large amounts of data to take appropriate corrective actions and ensure that products or services meet quality requirements. This study proposed a methodological framework to analyze the quality control process employing Monte Carlo simulation. The methodology consists of four steps: (i) Establishment of probability distributions, (ii) Construction of the mathematical model, (iii) Running the simulation, and (iv) Analysis of the results. The application of the methodological framework in a carbonated beverage production made it possible to ensure with 99% confidence that one of the most important quality characteristics of the product, the degrees Brix, varies in a range of ± 0.02. The results show the methodology allows to broadly map the process variables behavior and to make decisions on optimal levels for quality monitoring and control.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El Control de Calidad busca recoger y analizar grandes cantidades de datos para iniciar las acciones correctivas adecuadas, garantizando que los productos o servicios cumplen los requisitos de calidad. Este trabajo propone un marco metodológico para analizar el proceso de control de calidad mediante Simulación Monte Carlo. La metodología consta de cuatro pasos: (i) Determinación de las distribuciones de probabilidad, (ii) Construcción del modelo matemático, (iii) Ejecución de la simulación, and (iv) Análisis de resultados. La aplicación del marco metodológico en una producción de bebidas carbonatadas permitió asegurar con un 99% de confianza que una de las características de calidad más importantes del producto, los grados Brix, varía en un rango de ± 0.02. Los resultados muestran que la metodología permite mapear en forma amplia el comportamiento de las variables del proceso y tomar decisiones sobre niveles óptimos para el monitoreo y control de la calidad.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[decision making framework]]></kwd>
<kwd lng="en"><![CDATA[Monte Carlo simulation]]></kwd>
<kwd lng="en"><![CDATA[process variables analysis]]></kwd>
<kwd lng="en"><![CDATA[quality control improvement]]></kwd>
<kwd lng="es"><![CDATA[sistema de toma de decisiones]]></kwd>
<kwd lng="es"><![CDATA[simulación Monte Carlo]]></kwd>
<kwd lng="es"><![CDATA[análisis de variables de procesos]]></kwd>
<kwd lng="es"><![CDATA[mejoramiento del control de la calidad]]></kwd>
</kwd-group>
</article-meta>
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