{"id":161491,"date":"2024-03-13T16:27:12","date_gmt":"2024-03-13T16:27:12","guid":{"rendered":"https:\/\/tecscience.tec.mx\/es\/?p=161491"},"modified":"2024-03-13T19:41:42","modified_gmt":"2024-03-13T19:41:42","slug":"investigacion-para-el-nearshoring","status":"publish","type":"post","link":"https:\/\/tecscience.tec.mx\/es\/negocios-innovacion\/investigacion-para-el-nearshoring\/","title":{"rendered":"La investigaci\u00f3n en log\u00edstica y optimizaci\u00f3n, fundamental para el nearshoring"},"content":{"rendered":"\n

Por Yasm\u00edn R\u00edos Sol\u00eds<\/a><\/strong>*<\/p>\n\n\n\n

\u201cNo hay pa\u00eds en el mundo con mejor oportunidad que M\u00e9xico para aprovechar el nearshoring<\/em>\u201d, asegura la consultora Economy, Business & Indicators (ECOBI)<\/a>. Por obvias razones, la estrategia de ubicaci\u00f3n de operaciones cercanas al mercado de destino est\u00e1 generando un inter\u00e9s creciente en nuestro pa\u00eds.\u00a0<\/p>\n\n\n\n

Este enfoque ha impulsado un notable crecimiento econ\u00f3mico, con un aumento del 3.7% anual<\/a>,<\/strong> superando el modesto crecimiento promedio del 2.6% que se experiment\u00f3 en las \u00faltimas dos d\u00e9cadas<\/a>.\u00a0<\/p>\n\n\n\n

Este momento hist\u00f3rico plantea desaf\u00edos cient\u00edficos que van m\u00e1s all\u00e1 de los an\u00e1lisis puramente econ\u00f3micos. Se requiere una cuidadosa consideraci\u00f3n de las complejidades log\u00edsticas y de la cadena de suministro.<\/p>\n\n\n\n

Los m\u00e9todos y algoritmos convencionales, dise\u00f1ados para entornos m\u00e1s estables, no se adaptan adecuadamente a las particularidades del contexto mexicano. Factores como el alto grado de ausentismo laboral <\/strong>en sectores como el transporte y la manufactura, que puede alcanzar hasta el 30% en un solo d\u00eda debido a eventos culturales o sociales, plantean desaf\u00edos \u00fanicos.<\/strong><\/p>\n\n\n\n

Asimismo, las diferencias en la frecuencia y calidad del mantenimiento de veh\u00edculos y maquinaria, junto con las consideraciones de seguridad vial, son aspectos cruciales a tener en cuenta. La puntualidad y la calidad por parte de los proveedores tambi\u00e9n son variables cr\u00edticas que afectan la eficiencia operativa. <\/p>\n\n\n\n

Ante esta diversidad de variables, es necesario desarrollar nuevos modelos matem\u00e1ticos y de optimizaci\u00f3n,<\/strong> complementados con t\u00e9cnicas de inteligencia artificial<\/a>, especialmente aprendizaje autom\u00e1tico, para satisfacer las necesidades de las empresas que optan por el nearshoring<\/em> en M\u00e9xico.<\/p>\n\n\n\n

Para las compa\u00f1\u00edas de pa\u00edses desarrollados, enfrentarse con la infraestructura y las condiciones de un entorno distinto al que est\u00e1n acostumbradas supone un desaf\u00edo significativo en la implementaci\u00f3n de sus m\u00e9todos de optimizaci\u00f3n y planificaci\u00f3n. Esto plantea una oportunidad para la investigaci\u00f3n en cadena de suministro y log\u00edstica,<\/strong> que debe adaptarse para incorporar la flexibilidad necesaria y abordar la naturaleza din\u00e1mica y a menudo impredecible de los sistemas mexicanos.<\/p>\n\n\n\n

Este escenario recuerda el desaf\u00edo que China enfrent\u00f3 hace una d\u00e9cada al implementar estrategias similares, lo que condujo al desarrollo de enfoques log\u00edsticos y de cadena de suministro espec\u00edficos que demostraron ser eficaces incluso en entornos inestables. La investigaci\u00f3n en este campo es fundamental en el contexto actual, ya que permite la integraci\u00f3n de las particularidades mexicanas en los algoritmos y pr\u00e1cticas log\u00edsticas,<\/strong> posicionando a los investigadores del pa\u00eds en la vanguardia de la ciencia global.<\/p>\n\n\n\n

Por ejemplo, la asignaci\u00f3n de choferes a veh\u00edculos, un aspecto crucial en la log\u00edstica, requiere considerar las diversas habilidades y comportamientos de los conductores mexicanos, desde aquellos altamente confiables hasta los que cuentan con historiales menos favorables. El an\u00e1lisis de datos permite identificar patrones y optimizar las asignaciones urgentes<\/strong> para maximizar la eficiencia en las entregas y los tiempos de recorrido.<\/p>\n\n\n\n

La flexibilidad y adaptabilidad inherentes a la cultura mexicana no solo presentan desaf\u00edos, sino tambi\u00e9n oportunidades para la innovaci\u00f3n y la eficiencia. Al aprovechar la flexibilidad de la cultura mexicana en la planificaci\u00f3n y asignaci\u00f3n de recursos, se pueden obtener ventajas econ\u00f3micas significativas.<\/p>\n\n\n\n

En resumen, la investigaci\u00f3n en log\u00edstica y cadena de suministro no solo es esencial para abordar los desaf\u00edos espec\u00edficos del nearshoring<\/em> en M\u00e9xico<\/a>, sino que tambi\u00e9n contribuye al avance econ\u00f3mico y tecnol\u00f3gico del pa\u00eds en su conjunto. Al integrar las particularidades mexicanas en los modelos y pr\u00e1cticas log\u00edsticas, se maximiza el potencial positivo del nearshoring<\/em> y se impulsa el desarrollo a largo plazo.<\/p>\n\n\n\n

<\/div>\n\n\n\n

*Yasm\u00edn R\u00edos Sol\u00eds es l\u00edder del Grupo de Investigaci\u00f3n Smart Supply Chain and Logistics<\/strong><\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Ante diversas variables que afectan la eficiencia operativa en M\u00e9xico, urgen nuevos modelos que se adapten a las necesidades de las empresas que optan por establecerse en el pa\u00eds.<\/p>\n","protected":false},"author":18,"featured_media":161497,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[100],"tags":[114,889,139],"class_list":["post-161491","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-negocios-innovacion","tag-escuela-de-ingenieria-y-ciencias","tag-nearshoring","tag-tecminds"],"acf":[],"yoast_head":"\nLa investigaci\u00f3n es fundamental para el nearshoring | TecScience<\/title>\n<meta name=\"description\" content=\"Ante variables que afectan la eficiencia operativa en M\u00e9xico, urgen modelos que se adapten a las necesidades del nearshoring.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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