{"id":1688,"date":"2019-12-09T14:44:16","date_gmt":"2019-12-09T14:44:51","guid":{"rendered":"https:\/\/www.argonandco.com\/?page_id=1688"},"modified":"2021-09-08T09:17:07","modified_gmt":"2021-09-08T08:17:07","slug":"maintenance-predictive","status":"publish","type":"page","link":"https:\/\/www.argonandco.com\/fr\/expertises\/maintenance-et-apres-vente\/maintenance-predictive\/","title":{"rendered":"Maintenance pr\u00e9dictive"},"content":{"rendered":"

Contexte et d\u00e9fis<\/b><\/h2>\n

Les op\u00e9rations de maintenance sont sur le point de changer de paradigme avec le d\u00e9veloppement et l\u2019accessibilit\u00e9 de technologies de pointe telles que l\u2019Internet des Objets (IoT) et le Machine Learning. Ces technologies vont bouleverser la capacit\u00e9 \u00e0 pr\u00e9voir les modifications de la performance op\u00e9rationnelle des machines.<\/span><\/p>\n

La commercialisation de capteurs, capables d\u2019enregistrer tous types de donn\u00e9es, combin\u00e9e \u00e0 l\u2019analyse de ces donn\u00e9es, fournit aux \u00e9quipes de maintenance des outils puissants pour prendre des d\u00e9cisions et optimiser l\u2019activit\u00e9 de maintenance.<\/p>\n

L\u2019aspect le plus int\u00e9ressant de ces technologies r\u00e9side peut-\u00eatre dans le nouveau concept de maintenance pr\u00e9dictive, issue de la fusion de la maintenance pr\u00e9ventive \u2013 limit\u00e9e au besoin initial \u2013 et de la maintenance curative \u2013 limit\u00e9e aux r\u00e9parations am\u00e9liorant la dur\u00e9e de vie des installations.<\/p>\n

Pour qu\u2019une innovation soit int\u00e9gr\u00e9e avec succ\u00e8s, il est n\u00e9cessaire que les fondamentaux soient en place. Il s\u2019agit peut-\u00eatre du plus grand d\u00e9fi que repr\u00e9sente la mise en place d\u2019une maintenance pr\u00e9dictive efficace. La collecte de donn\u00e9es pertinentes, la compr\u00e9hension des modes de fonctionnement de l\u2019organisation et l\u2019optimisation de la pr\u00e9vention des pannes sont essentielles \u00e0 la cr\u00e9ation d\u2019une solution pr\u00e9dictive performante.<\/p>\n

La croissance rapide de la bande passante et de la couverture r\u00e9seau, associ\u00e9e aux supports d\u00e9mat\u00e9rialis\u00e9s, aux outils de r\u00e9alit\u00e9 augment\u00e9e et aux Digital Twins<\/em> permet de renouveler les processus de maintenance traditionnels vers une maintenance plus efficace et \u00e0 distance.<\/p>\n

La mise en \u0153uvre de ces solutions peut s\u2019av\u00e9rer complexe. Les besoins doivent \u00eatre soigneusement d\u00e9finis et les conditions pr\u00e9alables bien comprises. Par cons\u00e9quent, il est indispensable d\u2019\u00eatre accompagn\u00e9 par des partenaires capables d\u2019assister techniquement les \u00e9quipes op\u00e9rationnelles.<\/p>\n

Notre approche<\/b><\/h2>\n

Argon & Co s\u2019appuie sur une forte expertise fonctionnelle et sur une parfaite connaissance de l\u2019\u00e9cosyst\u00e8me technologique afin d\u2019accompagner ses clients sur leurs projets de maintenance pr\u00e9dictive de bout-en-bout.<\/p>\n

    \n
  • Phase initiale d\u2019audit\u00a0:<\/strong>\u00a0mise en \u00e9vidence des opportunit\u00e9s de mise en \u0153uvre mais aussi du niveau de maturit\u00e9 de l\u2019organisation sur les pr\u00e9requis organisationnels, les process ou les outils.<\/li>\n
  • Phase de mise en \u0153uvre\u00a0:<\/strong>\u00a0choix des solutions pertinentes et mise en \u0153uvre des premiers d\u00e9monstrateurs.<\/li>\n<\/ul>\n

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

    Contexte et d\u00e9fis Les op\u00e9rations de maintenance sont sur le point de changer de paradigme avec le d\u00e9veloppement et l\u2019accessibilit\u00e9 de technologies de pointe telles que l\u2019Internet des Objets (IoT) et le Machine Learning. Ces technologies vont bouleverser la capacit\u00e9 \u00e0 pr\u00e9voir les modifications de la performance op\u00e9rationnelle des machines. La commercialisation de capteurs, capables […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1674,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1688","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nMaintenance pr\u00e9dictive - Argon & Co<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.argonandco.com\/fr\/expertises\/maintenance-et-apres-vente\/maintenance-predictive\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maintenance pr\u00e9dictive - Argon & Co\" \/>\n<meta property=\"og:description\" content=\"Contexte et d\u00e9fis Les op\u00e9rations de maintenance sont sur le point de changer de paradigme avec le d\u00e9veloppement et l\u2019accessibilit\u00e9 de technologies de pointe telles que l\u2019Internet des Objets (IoT) et le Machine Learning. 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