{"id":9944,"date":"2020-04-16T12:25:22","date_gmt":"2020-04-16T12:25:22","guid":{"rendered":"https:\/\/datatex.com\/?p=9944"},"modified":"2025-02-26T08:42:58","modified_gmt":"2025-02-26T08:42:58","slug":"textile-4-0-adopter-lindustrie-4-0-dans-la-fabrication","status":"publish","type":"post","link":"https:\/\/datatex.com\/fr\/textile-4-0-adopter-lindustrie-4-0-dans-la-fabrication\/","title":{"rendered":"Textile 4.0 : Adopter l\u2019industrie 4.0 dans la fabrication"},"content":{"rendered":"

Il est important de comprendre que l\u2019industrie textile doit faire face \u00e0 des grands d\u00e9fis<\/strong> principalement connect\u00e9s aux produits en changement constante, aux innovations et \u00e0 une intense pression comp\u00e9titive.<\/p>\n

La pression comp\u00e9titive est li\u00e9e \u00e0 une plus grande vari\u00e9t\u00e9 des produits, des d\u00e9lais de livraison r\u00e9duits et \u00e0 un niveau de service sup\u00e9rieur demand\u00e9 par les clients.<\/p>\n

Une r\u00e9action rapide est aujourd\u2019hui aper\u00e7ue comme une comp\u00e9tence tr\u00e8s importante dans le business, m\u00eame s\u2019il est important de comprendre quel est le r\u00e9sultat des bonnes proc\u00e9dures de gestion. En ce sens, la planification et le contr\u00f4le doivent \u00eatre g\u00e9r\u00e9es en analysant en profond du g\u00e9n\u00e9ral au d\u00e9tail.<\/p>\n

Le plan strat\u00e9gique de l\u2019 Industrie 4.0<\/strong><\/a>, appel\u00e9 aussi la Quatri\u00e8me R\u00e9volution industrielle<\/strong>, est caract\u00e9ris\u00e9 part une int\u00e9gration horizontal \u00e0 travers les r\u00e9seaux des valeurs, int\u00e9gration digitale bout \u00e0 bout, \u00e0 travers tous la cha\u00eene de valeur, int\u00e9gration verticale et syst\u00e8mes de productions connect\u00e9s.<\/p>\n

L\u2019Industrie 4.0 conduira \u00e0 la virtualisation et \u00e0 la modularisation des processus productifs et de la cha\u00eene de valeur, en obtenant flexibilit\u00e9 et personnalisation de la production sur la base des Cyber-Physical Systems (CPS) et IoT (Internet des Objets)<\/strong> <\/a>ainsi que le PRE<\/a> (Planification des Ressources de l\u2019Entreprise)<\/strong>, Manufacturing Execution System (MES)<\/strong><\/a>, Product Lifecycle Management (PLM)<\/strong><\/a>, Supply Chain Management (SCM)<\/strong><\/a> et d\u2019autre syst\u00e8mes logiciels.<\/p>\n

Les mots cl\u00e9s de l\u2019Industrie 4.0:<\/strong><\/h2>\n

\u2022 Connectivit\u00e9:<\/strong><\/p>\n

La Connectivit\u00e9 demande des liens entre les n\u0153uds ind\u00e9pendants du r\u00e9seau. Ces liens augmentent la visibilit\u00e9 et fournissent plus de donn\u00e9es digitales ne temps r\u00e9el, en surveillant \u00e0 travers le suivi de la production et l\u2019exp\u00e9dition des commandes tardives, contr\u00f4le de qualit\u00e9, co\u00fbts r\u00e9els, suivi des mat\u00e9riaux et indicateurs de performance cl\u00e9 (KPI) avec des actions correctives.<\/p>\n

Un exemple frappant de connectivit\u00e9 appliqu\u00e9e au monde du textile est le t\u00e9l\u00e9chargement d\u2019un program de teinture au syst\u00e8me de contr\u00f4le de la machine, bas\u00e9 sur les donn\u00e9es de production et les r\u00e8gles des listes de mat\u00e9riaux provenant du PRE, et en recevant ensuite des donn\u00e9s sur la performance r\u00e9el revenu de la machine.<\/p>\n

En expansion rapide \u00e0 travers l\u2019Internet des Objets (IoT), la connectivit\u00e9 a atteint une port\u00e9e mondiale, avec 8.4 millions dispositifs connect\u00e9s. Jusqu\u2019\u00e0 pr\u00e9sent, seulement le 15% des immobilisations sont connect\u00e9s dans la production, mais cela va changer rapidement.<\/p>\n

L’industrie de la technologie travaille dans plus de 700 plates-formes d\u2019Internet des Objets pour usage industriel, et les plus importantes entreprises de la technologie, investissent beaucoup dans des plates – formes d\u2019Internet des Objets scalables.<\/p>\n

\u2022 Intelligence:<\/strong><\/p>\n

L\u2019intelligence artificielle, les avancements dans la puissance de calcule et la disponibilit\u00e9 des big data, permettent aux algorithmes d\u2019apprentissage automatique d\u2019exceller. En r\u00e9alit\u00e9, l\u2019identification de la parole et de l\u2019image, a d\u00e9j\u00e0 rejoint la pr\u00e9cision du cerveau humain. Le potentiel complet de l\u2019intelligence artificielle dans la production, doit toutefois encore se r\u00e9aliser.<\/p>\n

Seulement une petite partie de donn\u00e9es est actuellement utilis\u00e9e pour prendre les d\u00e9cisions. Par exemple une recherche a d\u00e9couvert que m\u00eame si 100% des donn\u00e9s a \u00e9t\u00e9 captur\u00e9e, seulement le 0.5% a \u00e9t\u00e9 utilis\u00e9 pour prendre des d\u00e9cisions.<\/p>\n

Nous avons chang\u00e9 notre hypoth\u00e8se selon laquelle les ordinateurs ne pensent pas. L\u2019intelligence Artificielle se base sur la r\u00e9alit\u00e9 qui change et les donn\u00e9es du pass\u00e9. Ces r\u00e8gles sont cr\u00e9\u00e9es automatiquement sur des donn\u00e9s disponibles et \u00e0 partir d\u2019eux le syst\u00e8me d\u2019Intelligence Artificielle d\u00e9cide les mesures correctives sur la base des vraies performances en temps-r\u00e9el.<\/p>\n

\u2022 Automation Flexible :<\/strong><\/p>\n

Automation signifie \u00eatre en mesure de faire des actions correctives alors que la production est encore en marche.<\/p>\n

\u00c0 travers l\u2019incorporation des m\u00e9canismes de r\u00e9ponse pour les traitements par lots il est possible de sauver le lot, ou pour les processus continus, d\u2019augmenter la production de haute qualit\u00e9.<\/p>\n

La technologie d\u2019automatisation peut actuellement automatiser le 60% de tous les t\u00e2ches de fabrication dans toutes les \u00e9tapes du processus de manufacture. \u00c0 partir de la couture, du chargement et du peignage, l\u2019emballage du produit final, l\u2019inspection des tissus, la correction des nuances, machine contr\u00f4les, correspondance des couleurs qui connecte le PRE avec l\u2019imprimeur digital, recueillir vitesse r\u00e9elle, efficience et consommation d\u2019encre.<\/p>\n

Les opportunit\u00e9s d\u2019Intelligence Artificielle dans l\u2019imprimerie artificielle, par exemple, peuvent aussi \u00eatre r\u00e9alis\u00e9 dans la tarification, la planification et la production. Dans la tarification et la planification, un nouveau motif des syst\u00e8mes PRE peut se connecter aux syst\u00e8mes CAD et chercher des donn\u00e9s des produits similaires. Le syst\u00e8me peut calculer le co\u00fbt de l\u2019encre et autres co\u00fbts, incluant le gaspillage, bas\u00e9 sur les donn\u00e9s existants et fournir un co\u00fbt total sans mener des essais. Les m\u00eames informations peuvent \u00eatre utilis\u00e9es pour la planification des mat\u00e9riaux.<\/p>\n

Toutefois, le niveau actuel de p\u00e9n\u00e9tration des robots industriels est encore tr\u00e8s r\u00e9duit, m\u00eame dans les premiers utilisateurs comme la Cor\u00e9e du Sud, o\u00f9 seulement 530 robots sur 10.000 travailleurs de la production sont utilis\u00e9s.<\/p>\n

Pourquoi les manufacturiers devraient \u00e9voluer vers l\u2019 Industrie 4.0 ? <\/strong><\/h2>\n

La gestion de la performance digitale acc\u00e9l\u00e8re les processus d\u2019all\u00e9gement de la gestion. Le Taux de Rendement Global (TRG)<\/strong> peut augmenter du 20% au 50% en trois mois, en am\u00e9liorant l\u2019engagement des op\u00e9rateurs de premi\u00e8re ligne et la gestion des donn\u00e9es. Cela va aussi cr\u00e9er des big data pour la future prise de d\u00e9cisions.<\/p>\n

Nouveaux algorithmes de manutention pr\u00e9dictive, fournissent une augmentation de la capacit\u00e9 des machines et cela am\u00e8ne aussi \u00e0 une r\u00e9duction des co\u00fbts d\u2019\u00e9nergie et de manutention du 10% au 15%.<\/p>\n

Autres opportunit\u00e9s pour int\u00e9grer les algorithmes des big data existent dans la d\u00e9termination des actions correctives de qualit\u00e9, contr\u00f4le du cr\u00e9dit, pr\u00e9vision et priorit\u00e9 de l\u2019ordre dans la programmation et la planification.<\/p>\n

Big Data<\/strong> est l\u2019acteur principal de cette r\u00e9volution, int\u00e9grant les donn\u00e9es provenant des syst\u00e8mes de contr\u00f4le des processus avec autres donn\u00e9s, comme ceux sur les co\u00fbts. Ils peuvent faire beaucoup pour aider les entreprises \u00e0 optimiser la production, l\u2019\u00e9nergie et le contr\u00f4le du rendement, \u00e0 travers le processus d\u2019assurance qualit\u00e9, gr\u00e2ce \u00e0 des senseurs qui recueillent les donn\u00e9es pour les d\u00e9cisions de l\u2019Intelligence Artificielle qui concernent la pr\u00e9vision d\u2019actions correctives.<\/p>\n<\/div><\/div><\/div>

<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

D\u00e9couvrez comment Textile 4.0 remod\u00e8le la fabrication gr\u00e2ce aux technologies de l’industrie 4.0 – IoT, IA et automatisation – qui stimulent l’efficacit\u00e9, la connectivit\u00e9 et la flexibilit\u00e9.<\/p>\n","protected":false},"author":7,"featured_media":9955,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"two_page_speed":[],"footnotes":""},"categories":[96],"tags":[],"class_list":["post-9944","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"\nTextile 4.0 : Adopter l'industrie 4.0 dans la fabrication | Datatex<\/title>\n<meta name=\"description\" content=\"Textile 4.0 r\u00e9volutionne l'industrie textile avec les technologies de l'industrie 4.0 - IoT, IA et automatisation avec efficacit\u00e9, connectivit\u00e9 et flexibilit\u00e9.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datatex.com\/fr\/textile-4-0-adopter-lindustrie-4-0-dans-la-fabrication\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Textile 4.0 : Adopter l'industrie 4.0 dans la fabrication | Datatex\" \/>\n<meta property=\"og:description\" content=\"Textile 4.0 r\u00e9volutionne l'industrie textile avec les technologies de l'industrie 4.0 - 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