{"id":10277,"date":"2019-12-12T06:50:00","date_gmt":"2019-12-12T06:50:00","guid":{"rendered":"https:\/\/www.capgemini.com\/?post_type=research-and-insight&p=512381"},"modified":"2025-04-01T14:46:57","modified_gmt":"2025-04-01T14:46:57","slug":"escalar-la-inteligencia-artificial-en-las-operaciones-de-manufactura","status":"publish","type":"research-and-insight","link":"https:\/\/www.capgemini.com\/ar-es\/insights\/biblioteca-de-investigacion\/escalar-la-inteligencia-artificial-en-las-operaciones-de-manufactura\/","title":{"rendered":"Escalar la inteligencia artificial en las operaciones de manufactura"},"content":{"rendered":"\n
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<\/div>
Datos e IA<\/span><\/div><\/div><\/div>

Escalar la inteligencia artificial en las operaciones de manufactura<\/h1><\/div>

La perspectiva de los profesionales<\/h2>
Download report<\/span>3 MB pdf<\/span><\/a><\/div>
Download infografic<\/span>3 MB pdf<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/header>\n\n\n\n
\n

Un ajuste perfecto<\/h3>\n\n\n\n

Si la primera revoluci\u00f3n industrial fue puesta en marcha por el vapor, la Industria 4.0 est\u00e1 siendo impulsada por la inteligencia artificial. Y con su capacidad para automatizar, digitalizar y optimizar, la inteligencia artificial es el complemento perfecto para las operaciones de manufactura, desde el desarrollo de productos hasta el control de calidad. Un sistema de visi\u00f3n por ordenador, por ejemplo, permiti\u00f3 a GM detectar 72 casos de fallo de componentes, evitando un tiempo de inactividad masivo (un solo minuto de los cuales puede costar a una empresa de ese tama\u00f1o hasta 20.000 d\u00f3lares), mientras que un sistema de aprendizaje autom\u00e1tico mejor\u00f3 significativamente la precisi\u00f3n de la previsi\u00f3n de la demanda de Danone (reduciendo el error de previsi\u00f3n en un 20%, las ventas perdidas en un 30%, la obsolescencia del producto en un 30% y la carga de trabajo del planificador de la demanda en un 50%).<\/p>\n\n\n\n

Un enorme potencial en todos los \u00e1mbitos<\/h3>\n\n\n\n

El \u00faltimo reporte del Instituto de Investigaci\u00f3n de Capgemini, Scaling AI in manufacturing operations,<\/em> muestra que el mantenimiento inteligente, junto con la inspecci\u00f3n de la calidad del producto y la planificaci\u00f3n de la demanda, constituyen un buen punto de partida para que los fabricantes centren sus esfuerzos en las operaciones de manufactura. Esto se debe a que:<\/p>\n\n\n\n

    \n
  • Ofrecen un claro valor\/beneficio empresarial.<\/li>\n\n\n\n
  • Son relativamente f\u00e1ciles de implementar.<\/li>\n\n\n\n
  • Hay una disponibilidad inmediata de datos y conocimientos t\u00e9cnicos.<\/li>\n\n\n\n
  • Existe la posibilidad de a\u00f1adir funciones que ayuden a la visibilidad y la aplicabilidad, para facilitar su adopci\u00f3n por parte de los equipos operativos.<\/li>\n<\/ul>\n\n\n\n

    La concentraci\u00f3n y la escala son fundamentales<\/h3>\n\n\n\n

    Para aprovechar las m\u00faltiples ventajas que la IA puede aportar a las operaciones de manufactura, las organizaciones deben superar la fase de prueba de concepto y desplegarla a gran escala. Para ello, recomendamos desplegar prototipos exitosos de IA en entornos de ingenier\u00eda reales, invertir en la creaci\u00f3n de una base de sistemas de datos e inteligencia artificial, de talento y ampliar la soluci\u00f3n de inteligencia artificial en toda la red de fabricaci\u00f3n.<\/p>\n\n\n\n

    La inteligencia artificial es el combustible para el cohete detr\u00e1s de la Industria 4.0 y su ajuste natural con la industria manufacturera significa que las organizaciones que son capaces de ejecutar estas capacidades son las que realmente despegar\u00e1n en el futuro.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"

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