{"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.com\/fr\/blog\/breaking-down-the-barriers-to-manufacturing-digital-transformation-in-human-centric-operations","title":{"rendered":"Faire tomber les obstacles \u00e0 la transformation num\u00e9rique dans les op\u00e9rations centr\u00e9es sur l'humain"},"content":{"rendered":"
\"transformation<\/figure>\r\n\r\n

Beaucoup a \u00e9t\u00e9 dit et \u00e9crit sur la transformation num\u00e9rique dans le secteur manufacturier, mais beaucoup moins a \u00e9t\u00e9 fait \u00e0 ce sujet.<\/p>\r\n

Gartner d\u00e9finit la transformation num\u00e9rique comme "le processus d'exploitation des technologies num\u00e9riques et des capacit\u00e9s de soutien pour cr\u00e9er un nouveau mod\u00e8le commercial num\u00e9rique robuste"<\/a>. Ce qui n'est pas dit, et souvent mal compris, c'est qu'il y a deux aspects fondamentaux \u00e0 la transformation num\u00e9rique\u00a0:<\/p>\r\n

    \r\n
  1. La premi\u00e8re est que tous les processus doivent \u00eatre connect\u00e9s de bout en bout, sans espace d'air num\u00e9rique. Dans ce "fil num\u00e9rique", tous les liens du flux d'op\u00e9rations sont transf\u00e9r\u00e9s de mani\u00e8re transparente d'un syst\u00e8me \u00e0 un autre. Dans la fabrication, cela signifie que de la r\u00e9ception de la commande \u00e0 l'exp\u00e9dition, il n'y a pas de papier dans le processus. De m\u00eame, dans les op\u00e9rations de service, de la cr\u00e9ation du ticket \u00e0 la cl\u00f4ture, il n'y a pas besoin de papier.<\/li>\r\n
  2. La seconde est que tous les processus doivent \u00eatre \u00e0 la fois instrument\u00e9s et agiles. Instrument\u00e9 pour que vous puissiez obtenir les donn\u00e9es n\u00e9cessaires pour leur appliquer l'analyse de l'intelligence artificielle et de l'apprentissage automatique (AI\/ML), et agile pour que vous puissiez les am\u00e9liorer continuellement au fil du temps.<\/li>\r\n<\/ol>\r\n

    Limites de l'automatisation dans la fabrication et le service<\/h2>\r\n

    Dans les sc\u00e9narios de fabrication \u00e0 grand volume, l'un des avantages insoup\u00e7onn\u00e9s de l'automatisation a \u00e9t\u00e9 de combler l'\u00e9cart d'air entre les syst\u00e8mes. L'automatisation cr\u00e9e une interaction de machine \u00e0 machine sans intervention humaine tout en g\u00e9n\u00e9rant les donn\u00e9es n\u00e9cessaires pour alimenter les syst\u00e8mes AI\/ML. Cependant, de nombreux processus m\u00e9tier incluent des activit\u00e9s qui d\u00e9pendent encore fortement des humains pour \u00eatre accomplies et qui le seront pendant un certain temps. Que ce soit parce que l'activit\u00e9 n\u00e9cessite une dext\u00e9rit\u00e9 humaine, comme certaines proc\u00e9dures d'assemblage et d'assurance qualit\u00e9 dans une usine, ou une prise de d\u00e9cision complexe, comme un ing\u00e9nieur de service sur le terrain diagnostiquant un probl\u00e8me m\u00e9canique sur le site d'un client. Les co\u00fbts, la complexit\u00e9 et les capacit\u00e9s de l'automatisation la rendent souvent irr\u00e9alisable pour un grand nombre de fabricants et d'OEM.<\/p>\r\n

    Cela cr\u00e9e un obstacle important \u00e0 la transformation num\u00e9rique, car un \u00e9l\u00e9ment cl\u00e9 de la transformation num\u00e9rique, les donn\u00e9es concernant ces op\u00e9rations, n'est que peu disponible. Bien qu'il existe souvent des donn\u00e9es de haut niveau, telles que le temps de cycle et le rendement dans l'usine ou des comptes rendus de visite de site apr\u00e8s coup par un ing\u00e9nieur de service, les activit\u00e9s d\u00e9taill\u00e9es du travailleur humain restent une v\u00e9ritable \u00ab\u00a0bo\u00eete noire\u00a0\u00bb. Cela est particuli\u00e8rement difficile pour les petites et moyennes entreprises qui d\u00e9pendent massivement des activit\u00e9s humaines.<\/p>\r\n

    Alors, qu'en est-il de ces entreprises\u00a0? N'ont-elles aucun espoir de tirer parti de l'IA\/ML pour am\u00e9liorer continuellement leur activit\u00e9\u00a0?<\/p>\r\n

    Combler le vide d'air des op\u00e9rations humaines<\/h2>\r\n

    C'est l\u00e0 qu'Augmentir\u2122 entre en jeu. Notre Plate-forme de travail connect\u00e9<\/a> brise cet obstacle \u00e0 une v\u00e9ritable transformation num\u00e9rique de la fabrication. Augmentir donne non seulement aux entreprises un moyen de r\u00e9diger rapidement des instructions de travail augment\u00e9es, mais, lorsque ces instructions sont ex\u00e9cut\u00e9es par des humains, des donn\u00e9es tr\u00e8s fines sur les \u00e9tapes du processus (les outils utilis\u00e9s, le contenu consult\u00e9 et les r\u00e9sultats g\u00e9n\u00e9r\u00e9s) sont captur\u00e9es dans de mani\u00e8re non intrusive, puis r\u00e9inject\u00e9es dans les syst\u00e8mes d'entreprise appropri\u00e9s. En termes simples, Augmentir comble le trou d'air des op\u00e9rations humaines, permettant aux humains et au travail qu'ils effectuent de devenir une partie pleinement int\u00e9gr\u00e9e du fil num\u00e9rique.<\/p>\r\n

    Augmentir r\u00e9sout \u00e9galement le deuxi\u00e8me aspect, encore plus difficile, de la transformation num\u00e9rique. Il a \u00e9t\u00e9 estim\u00e9 que les scientifiques des donn\u00e9es ont pass\u00e9 80% de leur temps \u00e0 nettoyer et \u00e0 \u00e9tiqueter les donn\u00e9es. La collecte et la compr\u00e9hension des donn\u00e9es clairsem\u00e9es et bruyantes provenant des activit\u00e9s humaines ont \u00e9t\u00e9 un \u00e9norme obstacle \u00e0 l'exploitation des avanc\u00e9es de la technologie AI\/ML pour optimiser les op\u00e9rations centr\u00e9es sur l'humain. La plate-forme Augmentir collecte non seulement les donn\u00e9es fines, mais les nettoie, les \u00e9tiquette, puis les pr\u00e9sente \u00e0 notre moteur d'IA int\u00e9gr\u00e9 pour d\u00e9velopper des informations uniques sur vos op\u00e9rations. Ces informations aident les organisations \u00e0 identifier les opportunit\u00e9s d'am\u00e9lioration. C'est le cercle vertueux de l'am\u00e9lioration continue qui caract\u00e9rise une organisation \u00ab transform\u00e9e num\u00e9riquement \u00bb.<\/p>\r\n

    Souhaitez-vous savoir comment votre organisation peut tirer parti des proc\u00e9dures de travail augment\u00e9es pour combler le vide d'air des op\u00e9rations humaines et am\u00e9liorer continuellement les processus\u00a0? Planifiez votre d\u00e9mo personnalis\u00e9e<\/a> et voyez Augmentir en action.\u00a0<\/em><\/p>","protected":false},"excerpt":{"rendered":"

    Comment permettre aux humains de devenir partie int\u00e9grante de la transformation num\u00e9rique de l\u2019industrie manufacturi\u00e8re, alors que leurs donn\u00e9es professionnelles sont si rares ?<\/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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