<?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>S2007-80642025000100202</article-id>
<article-id pub-id-type="doi">10.22201/enesl.20078064e.2025.27.91019</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Optimización matemática y salario digno: Enfoque alternativo para el cálculo de costos de alimentación]]></article-title>
<article-title xml:lang="en"><![CDATA[Mathematical Optimization and Living Wage: An Alternative Approach to Food Cost Calculation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jasso-Carbajal]]></surname>
<given-names><![CDATA[María Cristina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carbajal-Suárez]]></surname>
<given-names><![CDATA[Yolanda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García Jiménez]]></surname>
<given-names><![CDATA[Humberto]]></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>
<aff id="Af2">
<institution><![CDATA[,El Colegio de la Frontera Norte  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>13</volume>
<numero>27</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-80642025000100202&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-80642025000100202&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-80642025000100202&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Propósito:  evaluar la metodología Anker (Anker y Anker, 2017) utilizada para el cálculo de un salario digno, al tiempo que se propone un enfoque alternativo fundamentado en la optimización matemática para determinar los gastos en alimentos. Este esfuerzo busca eliminar la subjetividad asociada con los ajustes manuales del modelo de dieta y garantizar el cumplimiento de los estándares nutricionales al nivel más económico.  Diseño metodológico:  se realizó un análisis comparativo entre la metodología Anker (Anker y Anker, 2017) y un marco de optimización matemática. Se recopiló información primaria y secundaria sobre los precios de los alimentos, el contenido nutricional y los comportamientos de consumo de los trabajadores del campo automotriz en el Estado de México. Se llevó a cabo un modelo cuantitativo mediante GAMS/CPLEX para minimizar costos, de conformidad con las regulaciones sobre macronutrientes prescritas por la Organización Mundial de la Salud (OMS), y el Ministerio de Salud de México.  Resultados:  el modelo de optimización matemática minimiza efectivamente el gasto general en alimentos al tiempo que preserva la integridad nutricional, lo que indica una reducción de casi 600 pesos y 214 pesos en las tres categorías de salario digno examinadas.  Limitaciones de la investigación:  la evaluación del salario digno se basa en un marco de optimización adaptado a un sector industrial en particular, por lo que sus resultados no pueden generalizarse a otros sectores sin las modificaciones metodológicas adecuadas. Además, la optimización matemática depende de las métricas actuales de precios y consumo, las cuales están sujetas a la variabilidad del mercado, lo que requiere la implementación de estrategias de ajuste dinámico.  Hallazgos:  la aplicación de la optimización matemática facilita una evaluación más sistemática y precisa de los gastos de alimentos dentro del cómputo del salario digno, mitigando sesgos y potenciando la credibilidad de los hallazgos en investigaciones posteriores relativas al establecimiento de salarios dignos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Purpose:  This study evaluates the Anker methodology for calculating living wages and proposes an alternative approach based on mathematical optimization to determine food costs. The objective is to eliminate subjectivity in manual adjustments of the model diet and ensure that nutritional requirements are met at the lowest possible cost.  Methodological Design:  A comparative analysis was conducted between the Anker methodology and a mathematical optimization model. Primary and secondary data were collected on food costs, nutritional composition, and consumption habits of automotive industry workers in the State of Mexico. A mathematical model was implemented using GAMS/CPLEX to minimize costs while adhering to macronutrient constraints established by the World Health Organization and Mexico&#8217;s Ministry of Health.  Results:  A quantitative framework was developed using GAMS/CPLEX to minimize expenditures while complying with the macronutrient guidelines set forth by the World Health Organization and the Ministry of Health of Mexico.  Research limitations:  The estimation of a living wage is derived from an optimization framework tailored to a specific industrial domain; consequently, the findings may not be readily applicable to other sectors without appropriate methodological modifications.  Findings:  The optimization model successfully decreases overall food expenditure without sacrificing nutritional integrity.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Salarios Dignos]]></kwd>
<kwd lng="es"><![CDATA[Optimización matemática]]></kwd>
<kwd lng="es"><![CDATA[Nutrición y alimentación]]></kwd>
<kwd lng="es"><![CDATA[Economía del trabajo]]></kwd>
<kwd lng="es"><![CDATA[Modelización económica]]></kwd>
<kwd lng="en"><![CDATA[Living Wages]]></kwd>
<kwd lng="en"><![CDATA[Mathematical optimization]]></kwd>
<kwd lng="en"><![CDATA[Nutrition and food]]></kwd>
<kwd lng="en"><![CDATA[Labour economics]]></kwd>
<kwd lng="en"><![CDATA[Economic modeling.]]></kwd>
</kwd-group>
</article-meta>
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