{"id":3567,"date":"2019-03-06T17:05:08","date_gmt":"2019-03-06T17:05:08","guid":{"rendered":"https:\/\/augmentir.com\/?p=3567"},"modified":"2025-12-05T13:56:57","modified_gmt":"2025-12-05T13:56:57","slug":"breaking-down-the-barriers-to-manufacturing-digital-transformation-in-human-centric-operations","status":"publish","type":"post","link":"https:\/\/www.augmentir.ai\/es\/blog\/breaking-down-the-barriers-to-manufacturing-digital-transformation-in-human-centric-operations","title":{"rendered":"Derribando las barreras a la transformaci\u00f3n digital en las operaciones centradas en el ser humano"},"content":{"rendered":"
\"transformaci\u00f3n<\/figure>\r\n\r\n

Mucho se ha dicho y escrito sobre la transformaci\u00f3n digital en la manufactura, pero en realidad se ha hecho mucho menos al respecto.<\/p>\r\n

Gartner define la Transformaci\u00f3n Digital como \u201cel proceso de explotar tecnolog\u00edas digitales y apoyar capacidades para crear un nuevo y s\u00f3lido modelo de negocio digital\u201d<\/a>Lo que no se dice, y a menudo no se entiende bien, es que hay dos aspectos fundamentales de la Transformaci\u00f3n Digital:<\/p>\r\n

    \r\n
  1. El primero es que todos los procesos deben estar conectados de principio a fin, sin interrupciones digitales. En este "Hilo Digital", todos los eslabones del flujo de operaciones se transfieren fluidamente de un sistema a otro. En manufactura, esto significa que, desde la recepci\u00f3n del pedido hasta el env\u00edo, no hay papel en el proceso. De igual manera, en las operaciones de servicio, desde la creaci\u00f3n del ticket hasta el cierre, no se necesita papel.<\/li>\r\n
  2. La segunda es que todos los procesos deben estar instrumentados y ser \u00e1giles. Instrumentados para obtener los datos necesarios para aplicarles an\u00e1lisis de Inteligencia Artificial y Aprendizaje Autom\u00e1tico (IA\/ML), y \u00e1giles para mejorarlos continuamente.<\/li>\r\n<\/ol>\r\n

    Limitaciones de la automatizaci\u00f3n en la fabricaci\u00f3n y el servicio<\/h2>\r\n

    En escenarios de fabricaci\u00f3n de alto volumen, uno de los beneficios no anunciados de la automatizaci\u00f3n ha sido la reducci\u00f3n de la brecha entre sistemas. La automatizaci\u00f3n crea una interacci\u00f3n m\u00e1quina a m\u00e1quina sin intervenci\u00f3n humana, a la vez que genera los datos necesarios para alimentar los sistemas de IA\/ML. Sin embargo, muchos procesos de negocio incluyen actividades que a\u00fan dependen en gran medida de la mano de obra humana, y seguir\u00e1n si\u00e9ndolo durante bastante tiempo. Ya sea porque la actividad requiere destreza humana, como algunos procedimientos de ensamblaje y control de calidad en una planta de producci\u00f3n, o porque la toma de decisiones complejas, como cuando un ingeniero de servicio de campo diagnostica un problema mec\u00e1nico en las instalaciones de un cliente, los costos, las complejidades y las capacidades de la automatizaci\u00f3n a menudo la hacen inviable para un gran n\u00famero de fabricantes y OEM.<\/p>\r\n

    Esto crea una gran barrera para la Transformaci\u00f3n Digital, ya que un componente clave de la transformaci\u00f3n digital, los datos relativos a estas operaciones, est\u00e1n escasamente disponibles. Si bien a menudo existen datos de alto nivel, como el tiempo de ciclo y el rendimiento en la planta de producci\u00f3n o los informes de visitas a las instalaciones realizadas por un ingeniero de servicio, las actividades detalladas del trabajador humano siguen siendo una aut\u00e9ntica "caja negra". Esto supone un desaf\u00edo especial para las peque\u00f1as y medianas empresas que dependen en gran medida de las actividades humanas.<\/p>\r\n

    Entonces, \u00bfd\u00f3nde deja esto a estas empresas? \u00bfNo tienen ninguna esperanza de aprovechar la IA\/ML para mejorar continuamente su negocio?<\/p>\r\n

    Cerrando la brecha a\u00e9rea de las operaciones humanas<\/h2>\r\n

    Aqu\u00ed es donde entra Augmentir\u2122. Nuestro Plataforma de trabajadores conectados<\/a> Derriba esa barrera hacia la verdadera Transformaci\u00f3n Digital de la manufactura. Augmentir no solo ofrece a las empresas una forma de crear r\u00e1pidamente instrucciones de trabajo aumentadas, sino que, cuando estas instrucciones son ejecutadas por humanos, se capturan datos muy precisos sobre los pasos del proceso (las herramientas utilizadas, el contenido al que se accede y los resultados generados) de forma no intrusiva y se reintroducen en los sistemas empresariales correspondientes. En resumen, Augmentir cierra la brecha de las operaciones humanas, permitiendo que las personas, y su trabajo, se integren plenamente en el proceso digital.<\/p>\r\n

    Augmentir tambi\u00e9n resuelve el segundo aspecto, a\u00fan m\u00e1s complejo, de la Transformaci\u00f3n Digital. Se estima que los cient\u00edficos de datos dedican 80% de su tiempo a depurar y etiquetar datos. Recopilar y comprender la informaci\u00f3n dispersa y confusa que proviene de las actividades humanas ha sido un gran obst\u00e1culo para aprovechar los avances en tecnolog\u00eda de IA\/ML y optimizar las operaciones centradas en el usuario. La plataforma Augmentir no solo recopila datos detallados, sino que los depura, los etiqueta y los presenta a nuestro motor de IA integrado para generar informaci\u00f3n \u00fanica sobre sus operaciones. Esta informaci\u00f3n ayuda a las organizaciones a identificar oportunidades de mejora. Este es el ciclo virtuoso de la mejora continua, sello distintivo de una organizaci\u00f3n "transformada digitalmente".<\/p>\r\n

    \u00bfEst\u00e1 interesado en aprender c\u00f3mo su organizaci\u00f3n puede aprovechar los procedimientos de trabajo aumentados para cerrar la brecha de las operaciones humanas y mejorar continuamente los procesos? Programe su demostraci\u00f3n personalizada<\/a> y ver Augmentir en acci\u00f3n.\u00a0<\/em><\/p>","protected":false},"excerpt":{"rendered":"

    \u00bfC\u00f3mo podemos permitir que los humanos se conviertan en una parte totalmente integrada de la transformaci\u00f3n digital de la fabricaci\u00f3n, cuando sus datos de trabajo son tan escasos?<\/p>","protected":false},"author":11,"featured_media":3571,"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":[],"class_list":["post-3567","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"\nBreaking Down the Barriers to Manufacturing Digital Transformation<\/title>\n<meta name=\"description\" content=\"How do we enable humans to become a fully integrated part of manufacturing digital transformation, when their work data is so sparse?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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