{"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\/fr\/blog\/manufacturing-skills-gap-this-is-not-your-grandfathers-workforce","title":{"rendered":"Ce n'est pas la main-d'\u0153uvre de votre grand-p\u00e8re"},"content":{"rendered":"

Chaque jour, nous entendons parler du \u00ab d\u00e9ficit de comp\u00e9tences \u00bb croissant dans le secteur manufacturier associ\u00e9 \u00e0 la main-d\u2019\u0153uvre industrielle de premi\u00e8re ligne. L'histoire est que 30% de travailleurs prendront leur retraite dans un avenir proche et emporteront avec eux leurs plus de 30 ann\u00e9es de connaissances tribales, cr\u00e9ant ainsi la n\u00e9cessit\u00e9 de perfectionner rapidement les comp\u00e9tences de leurs rempla\u00e7ants les plus jeunes. Pour tenter de r\u00e9soudre les probl\u00e8mes de manque de connaissances, une g\u00e9n\u00e9ration enti\u00e8re d'entreprises a d\u00e9cid\u00e9 de cr\u00e9er des applications logicielles pour les \u00ab travailleurs connect\u00e9s \u00bb. Cependant, elles se sont toutes appuy\u00e9es sur les processus de formation, d'orientation et d'assistance existants. La seule v\u00e9ritable diff\u00e9rence avec cette approche est a \u00e9t\u00e9 la cr\u00e9ation d'une technologie qui prend vos proc\u00e9dures papier et les met sur du verre.<\/span><\/p>\n

Avec connaissances tribales<\/a> et connaissance tacite<\/a> partant, la main-d'\u0153uvre d'aujourd'hui est \u00e9galement plus dynamique et diversifi\u00e9e que les g\u00e9n\u00e9rations pr\u00e9c\u00e9dentes. Les employ\u00e9s d\u00e9vou\u00e9s depuis 30 ans ne sont plus la norme. L'anciennet\u00e9 moyenne des travailleurs du secteur manufacturier a diminu\u00e9 de 17% au cours des 5 derni\u00e8res ann\u00e9es et la nature transitoire du travailleur industriel s'acc\u00e9l\u00e8re rapidement. Une cons\u00e9quence de la pand\u00e9mie de COVID fait na\u00eetre le <\/span>Grande d\u00e9mission<\/span><\/a>, o\u00f9 les travailleurs d\u00e9missionnent en nombre record, et l'engagement des travailleurs a diminu\u00e9 de pr\u00e8s de 20% au cours des 2 derni\u00e8res ann\u00e9es.\u00a0<\/span><\/p>\n

Cette nouvelle main-d'\u0153uvre du secteur manufacturier \u00e9volue en temps r\u00e9el : qui se pr\u00e9sente, quelles sont ses comp\u00e9tences et quels emplois elle doit occuper est une cible en constante \u00e9volution. L'approche traditionnelle \u00ab\u00a0taille unique\u00a0\u00bb en mati\u00e8re de formation, d'orientation et d'aide \u00e0 la performance est fondamentalement incapable de permettre aux travailleurs d'aujourd'hui de fonctionner \u00e0 leur maximum individuel de s\u00e9curit\u00e9, de qualit\u00e9 et de productivit\u00e9.\u00a0<\/span><\/p>\n

La num\u00e9risation des instructions de travail est un bon d\u00e9but pour contribuer \u00e0 combler le d\u00e9ficit de comp\u00e9tences en mati\u00e8re de fabrication, mais elle ne suffira pas \u00e0 elle seule \u00e0 r\u00e9soudre compl\u00e8tement le probl\u00e8me. Nous devons aller plus loin pour surmonter le manque de main-d\u2019\u0153uvre manufacturi\u00e8re comp\u00e9tente et qualifi\u00e9e.\u00a0<\/span><\/p>\n

Entrer le <\/span>Logiciel Connected Worker de 2\u00e8me g\u00e9n\u00e9ration<\/strong>, bas\u00e9e sur une approche bas\u00e9e sur les donn\u00e9es et soutenue par l'IA qui aide \u00e0 former, guider et soutenir les effectifs dynamiques d'aujourd'hui en combinant des instructions de travail num\u00e9riques, une collaboration \u00e0 distance et des capacit\u00e9s avanc\u00e9es de formation sur le tas.\u00a0<\/span><\/p>\n

Ces solutions de travailleurs connect\u00e9s de 2e g\u00e9n\u00e9ration sont con\u00e7ues pour capturer des flux de donn\u00e9es hautement granulaires provenant de travailleurs de premi\u00e8re ligne connect\u00e9s. Ces plates-formes sont construites \u00e0 partir de z\u00e9ro sur une base d'intelligence artificielle (IA). Les algorithmes d'IA sont id\u00e9aux pour analyser de grandes quantit\u00e9s de donn\u00e9es collect\u00e9es aupr\u00e8s d'une main-d'\u0153uvre connect\u00e9e. L'IA peut d\u00e9tecter des mod\u00e8les, trouver des valeurs aberrantes, nettoyer les donn\u00e9es et trouver des corr\u00e9lations et des mod\u00e8les qui peuvent \u00eatre utilis\u00e9s pour identifier les opportunit\u00e9s d'am\u00e9lioration et cr\u00e9er un environnement bas\u00e9 sur les donn\u00e9es qui prend en charge l'apprentissage continu et le soutien des performances.<\/span><\/p>\n

Cette approche s'harmonise parfaitement avec la nature dynamique et changeante de la main-d'\u0153uvre d'aujourd'hui et convient parfaitement pour soutenir leur <\/span>5 moments de besoin<\/span><\/a>, un cadre pour obtenir et maintenir une performance efficace au travail.<\/span><\/p>\n

Par exemple, la plate-forme de travailleurs connect\u00e9s aliment\u00e9e par l'IA d'Augmentir exploite les donn\u00e9es anonymis\u00e9es de millions d'ex\u00e9cutions de t\u00e2ches pour am\u00e9liorer et \u00e9tendre consid\u00e9rablement sa capacit\u00e9 \u00e0 fournir automatiquement des informations sur l'IA dans les applications dans les domaines de la productivit\u00e9, de la s\u00e9curit\u00e9 et du d\u00e9veloppement de la main-d'\u0153uvre. Ces informations sont au c\u0153ur de la notation True Proficiency \u2122 d'Augmentir, qui permet de r\u00e9f\u00e9rencer objectivement chacun des membres de votre \u00e9quipe pour son niveau de comp\u00e9tence \u00e0 chaque t\u00e2che afin que les organisations puissent optimiser la productivit\u00e9 et le d\u00e9bit, planifier intelligemment en fonction des niveaux de comp\u00e9tence et de comp\u00e9tence, et personnaliser le niveau d'encadrement et de soutien pour r\u00e9pondre aux besoins de chaque membre de la main-d'\u0153uvre.<\/span><\/p>\n

Cela offre des avantages significatifs aux clients d'Augmentir, qui tirent parti de l'IA d'Augmentir en conjonction avec le flux de travail num\u00e9rique et les capacit\u00e9s de collaboration \u00e0 distance de la plateforme, leur permettant de proposer des initiatives d'am\u00e9lioration continue centr\u00e9es sur le d\u00e9veloppement de la main-d'\u0153uvre. Ces clients sont en mesure d'utiliser les informations g\u00e9n\u00e9r\u00e9es par l'IA d'Augmentir pour fournir des \u00e9valuations de performances objectives, identifier automatiquement o\u00f9 la productivit\u00e9 est en retard (ou a le potentiel de prendre du retard), augmenter l'engagement des travailleurs et fournir des instructions de travail hautement personnalis\u00e9es bas\u00e9es sur les comp\u00e9tences des travailleurs.<\/span><\/p>\n

Traditionnellement, il y avait une s\u00e9paration claire entre la formation et l'ex\u00e9cution du travail, exigeant que la formation d'int\u00e9gration englobe tout ce qu'un travailleur pouvait <\/span>\u00e9ventuellement faire<\/i><\/b>, prolongeant la dur\u00e9e de la formation et entra\u00eenant des inefficacit\u00e9s. Aujourd'hui, avec la capacit\u00e9 de dispenser des formations <\/span>au moment du besoin<\/span><\/i>, l'int\u00e9gration peut se concentrer sur tout ce qu'un travailleur <\/span>fera probablement l'affaire, <\/i><\/b>identifier et combler les d\u00e9ficits de comp\u00e9tences en temps r\u00e9el et r\u00e9duisant consid\u00e9rablement les d\u00e9lais d\u2019int\u00e9gration dans la fabrication. Dans un cas particulier, Bio-Chem Fluidics a pu r\u00e9duire le temps d'int\u00e9gration des nouveaux employ\u00e9s jusqu'\u00e0 80%, tout en obtenant simultan\u00e9ment une am\u00e9lioration de 21% de la productivit\u00e9 au travail dans l'ensemble de ses op\u00e9rations de fabrication.<\/span><\/p>\n

\u00c0 mesure que les travailleurs deviennent plus connect\u00e9s, les entreprises ont acc\u00e8s \u00e0 une nouvelle source riche d'activit\u00e9s, d'ex\u00e9cution et de donn\u00e9es tribales, et avec des outils d'IA appropri\u00e9s, elles peuvent obtenir des informations sur les domaines o\u00f9 existent les plus grandes opportunit\u00e9s d'am\u00e9lioration. <\/span>L'intelligence artificielle \u00e9tablit une base bas\u00e9e sur les donn\u00e9es pour une am\u00e9lioration continue dans les domaines du soutien \u00e0 la performance, de la formation et du d\u00e9veloppement de la main-d'\u0153uvre<\/b>, pr\u00e9parant le terrain pour r\u00e9pondre aux besoins de la main-d'\u0153uvre en constante \u00e9volution d'aujourd'hui<\/span>.<\/p>","protected":false},"excerpt":{"rendered":"

La main-d'\u0153uvre manufacturi\u00e8re dynamique et changeante d'aujourd'hui a besoin d'un apprentissage continu et d'un soutien aux performances pour maintenir et fournir efficacement des performances au travail efficaces.<\/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 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