{"id":11656,"date":"2021-10-14T16:29:46","date_gmt":"2021-10-14T16:29:46","guid":{"rendered":"https:\/\/www.augmentir.com\/?p=11656"},"modified":"2025-02-07T02:47:12","modified_gmt":"2025-02-07T02:47:12","slug":"manufacturing-skills-gap-this-is-not-your-grandfathers-workforce","status":"publish","type":"post","link":"https:\/\/www.augmentir.com\/es\/blog\/manufacturing-skills-gap-this-is-not-your-grandfathers-workforce","title":{"rendered":"Esta no es la fuerza laboral de tu abuelo"},"content":{"rendered":"

A diario o\u00edmos hablar de la creciente "brecha de habilidades" en la industria manufacturera, asociada a la fuerza laboral de primera l\u00ednea. Se dice que un 30% de los trabajadores se jubilar\u00e1n pr\u00f3ximamente, llev\u00e1ndose consigo sus m\u00e1s de 30 a\u00f1os de experiencia, lo que crea la necesidad de capacitar r\u00e1pidamente a sus reemplazos m\u00e1s j\u00f3venes. Para resolver esta brecha de conocimiento, toda una generaci\u00f3n de empresas se propuso desarrollar aplicaciones de software para "Trabajadores Conectados". Sin embargo, todas depend\u00edan de los procesos existentes de capacitaci\u00f3n, orientaci\u00f3n y soporte. La \u00fanica diferencia real con este enfoque ha sido la creaci\u00f3n de tecnolog\u00eda que convierte los procedimientos en papel en documentos.<\/span><\/p>\n

Junto con conocimiento tribal<\/a> y conocimiento t\u00e1cito<\/a> La fuerza laboral actual tambi\u00e9n es m\u00e1s din\u00e1mica y diversa que la de generaciones anteriores. Los empleados con 30 a\u00f1os de dedicaci\u00f3n ya no son la norma. La antig\u00fcedad promedio de los trabajadores manufactureros se ha reducido en 171 TP3T en los \u00faltimos 5 a\u00f1os y la transitoriedad del trabajador industrial se est\u00e1 acelerando r\u00e1pidamente. Una consecuencia de la pandemia de COVID-19 ha tra\u00eddo consigo... <\/span>Gran Resignaci\u00f3n<\/span><\/a>, donde los trabajadores est\u00e1n renunciando en cifras r\u00e9cord y el compromiso de los trabajadores ha disminuido casi 20% en los \u00faltimos 2 a\u00f1os.\u00a0<\/span><\/p>\n

Esta nueva fuerza laboral manufacturera est\u00e1 cambiando en tiempo real: qui\u00e9nes se presentan, cu\u00e1les son sus habilidades y qu\u00e9 tareas deben realizar son un objetivo en constante evoluci\u00f3n. El enfoque tradicional de "talla \u00fanica" para la capacitaci\u00f3n, la orientaci\u00f3n y el apoyo al rendimiento es fundamentalmente incapaz de permitir que los trabajadores actuales alcancen su m\u00e1ximo potencial de seguridad, calidad y productividad.\u00a0<\/span><\/p>\n

Digitalizar las instrucciones de trabajo es un excelente comienzo para ayudar a cerrar la brecha de habilidades en la fabricaci\u00f3n, pero por s\u00ed solo no resolver\u00e1 el problema por completo. Debemos ir un paso m\u00e1s all\u00e1 para superar la falta de mano de obra cualificada y capacitada en la fabricaci\u00f3n.\u00a0<\/span><\/p>\n

Entra en el <\/span>Segunda generaci\u00f3n del software Connected Worker<\/strong>, uno basado en un enfoque basado en datos y respaldado por IA que ayuda a capacitar, guiar y respaldar a las fuerzas laborales din\u00e1micas de la actualidad al combinar instrucciones de trabajo digitales, colaboraci\u00f3n remota y capacidades avanzadas de capacitaci\u00f3n en el trabajo.\u00a0<\/span><\/p>\n

Estas soluciones para trabajadores conectados de segunda generaci\u00f3n est\u00e1n dise\u00f1adas para capturar datos altamente granulares provenientes de los trabajadores de primera l\u00ednea conectados. Estas plataformas se construyen desde cero sobre la base de la inteligencia artificial (IA). Los algoritmos de IA son ideales para analizar grandes cantidades de datos recopilados de una fuerza laboral conectada. La IA puede detectar patrones, detectar valores at\u00edpicos, depurar datos y encontrar correlaciones y patrones que permiten identificar oportunidades de mejora, creando un entorno basado en datos que fomenta el aprendizaje continuo y el rendimiento.<\/span><\/p>\n

Este enfoque se alinea perfectamente con la naturaleza din\u00e1mica y cambiante de la fuerza laboral actual y es ideal para respaldar sus <\/span>5 momentos de necesidad<\/span><\/a>, un marco para lograr y mantener un desempe\u00f1o efectivo en el trabajo.<\/span><\/p>\n

Por ejemplo, la plataforma de trabajadores conectados de Augmentir, impulsada por IA, aprovecha datos an\u00f3nimos de millones de ejecuciones de tareas para mejorar y ampliar significativamente su capacidad de proporcionar autom\u00e1ticamente informaci\u00f3n de IA en la aplicaci\u00f3n sobre productividad, seguridad y desarrollo del personal. Esta informaci\u00f3n es fundamental para la evaluaci\u00f3n True Proficiency\u2122 de Augmentir, que ayuda a establecer una l\u00ednea de base objetiva para cada miembro del equipo en funci\u00f3n de su nivel de competencia en cada tarea. De esta manera, las organizaciones pueden optimizar la productividad y el rendimiento, programar de forma inteligente seg\u00fan su nivel de competencia y habilidades, y personalizar la orientaci\u00f3n y el apoyo para satisfacer las necesidades de cada miembro del equipo.<\/span><\/p>\n

Esto ofrece importantes beneficios a los clientes de Augmentir, quienes aprovechan la IA de Augmentir junto con el flujo de trabajo digital y las capacidades de colaboraci\u00f3n remota de la plataforma, lo que les permite implementar iniciativas de mejora continua centradas en el desarrollo de la fuerza laboral. Estos clientes pueden utilizar la informaci\u00f3n generada por la IA de Augmentir para realizar evaluaciones objetivas del desempe\u00f1o, identificar autom\u00e1ticamente d\u00f3nde la productividad est\u00e1 rezagada (o podr\u00eda rezagarse), aumentar el compromiso de los trabajadores y ofrecer instrucciones de trabajo altamente personalizadas seg\u00fan su competencia.<\/span><\/p>\n

Tradicionalmente, hab\u00eda una clara separaci\u00f3n entre la capacitaci\u00f3n y la ejecuci\u00f3n del trabajo, lo que requer\u00eda que la capacitaci\u00f3n de incorporaci\u00f3n abarcara todo lo que un trabajador pod\u00eda hacer. <\/span>posiblemente lo haga<\/i><\/b>, lo que prolonga el tiempo de capacitaci\u00f3n y genera ineficiencias. Hoy en d\u00eda, con la capacidad de impartir capacitaci\u00f3n... <\/span>en el momento de necesidad<\/span><\/i>La incorporaci\u00f3n puede centrarse en todo lo que un trabajador necesita. <\/span>Probablemente lo har\u00e1, <\/i><\/b>Identificar y cerrar la brecha de habilidades en tiempo real y Reduciendo significativamente los tiempos de incorporaci\u00f3n a la fabricaci\u00f3n. En un caso particular, Bio-Chem Fluidics logr\u00f3 reducir el tiempo de incorporaci\u00f3n de nuevos empleados hasta en 80%, a la vez que logr\u00f3 una mejora de 21% en la productividad laboral en toda su planta de fabricaci\u00f3n.<\/span><\/p>\n

A medida que los trabajadores se conectan m\u00e1s, las empresas tienen acceso a una nueva y rica fuente de datos de actividad, ejecuci\u00f3n y tribales y, con las herramientas de IA adecuadas, pueden obtener informaci\u00f3n en \u00e1reas donde existen las mayores oportunidades de mejora. <\/span>La inteligencia artificial establece una base basada en datos para la mejora continua en las \u00e1reas de apoyo al rendimiento, capacitaci\u00f3n y desarrollo de la fuerza laboral.<\/b>, preparando el escenario para abordar las necesidades de la fuerza laboral actual en constante cambio.<\/span>.<\/p>","protected":false},"excerpt":{"rendered":"

La fuerza laboral manufacturera din\u00e1mica y cambiante de la actualidad necesita aprendizaje continuo y apoyo al desempe\u00f1o para sostener y brindar de manera efectiva un desempe\u00f1o efectivo en el trabajo.<\/p>","protected":false},"author":1,"featured_media":11657,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[4],"tags":[48,55,50,54,56],"class_list":["post-11656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai","tag-continuous-learning","tag-manufacturing","tag-training","tag-workforce-development"],"yoast_head":"\nThis Is Not Your Grandfather\u2019s Workforce - Augmentir<\/title>\n<meta name=\"description\" content=\"Today\u2019s dynamic and changing manufacturing workforce needs continuous learning and support to effectively close the manufacturing skills 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