{"id":45356,"date":"2025-08-31T10:04:34","date_gmt":"2025-08-31T08:04:34","guid":{"rendered":"https:\/\/www.emballagedigest.fr\/?p=45356"},"modified":"2025-09-04T10:09:25","modified_gmt":"2025-09-04T08:09:25","slug":"la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies","status":"publish","type":"post","link":"https:\/\/www.emballagedigest.fr\/en\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/","title":{"rendered":"La maintenance pr\u00e9dictive : un levier de comp\u00e9titivit\u00e9 face aux arr\u00eats non planifi\u00e9s"},"content":{"rendered":"<p><strong><em>Par Pierre Vandenhove, pdg de DV GROUP.<\/em><\/strong><\/p>\n\n\n\n<p>Chaque mois, 79% des entreprises fran\u00e7aises subissent des arr\u00eats de production non planifi\u00e9s, selon une \u00e9tude men\u00e9e par ABB. Le co\u00fbt moyen d\u2019une heure d\u2019arr\u00eat s\u2019\u00e9l\u00e8ve \u00e0 68 000 \u20ac. Ces interruptions, provoqu\u00e9es majoritairement par des d\u00e9faillances techniques, ont des r\u00e9percussions majeures sur la performance globale des sites industriels. Elles d\u00e9sorganisent les plannings, engendrent des pertes de mati\u00e8re ou de produit fini, mobilisent les \u00e9quipes de maintenance dans l\u2019urgence, et dans certains cas, entra\u00eenent des p\u00e9nalit\u00e9s contractuelles.<\/p>\n\n\n\n<p>Dans un contexte de hausse des prix de l\u2019\u00e9nergie, de tensions sur les cha\u00eenes logistiques et de pression croissante sur les marges, la ma\u00eetrise de la continuit\u00e9 de production est devenue un enjeu strat\u00e9gique. L\u2019impact d\u2019un arr\u00eat impr\u00e9vu d\u00e9passe la seule sph\u00e8re op\u00e9rationnelle : il remet en cause la capacit\u00e9 d\u2019une entreprise \u00e0 tenir ses engagements et \u00e0 pr\u00e9server sa rentabilit\u00e9.<\/p>\n\n\n\n<p><strong>De la r\u00e9paration \u00e0 l\u2019anticipation<\/strong><br>Pendant longtemps, les industriels ont privil\u00e9gi\u00e9 la maintenance corrective, consistant \u00e0 intervenir apr\u00e8s la panne, ou la maintenance pr\u00e9ventive, programm\u00e9e selon un calendrier ou un nombre d\u2019heures de fonctionnement. Si ces approches ont permis de structurer les plans de maintenance, elles ne suffisent plus \u00e0 r\u00e9pondre aux exigences actuelles en mati\u00e8re de r\u00e9activit\u00e9 et de disponibilit\u00e9 des \u00e9quipements. La maintenance pr\u00e9dictive s\u2019impose aujourd\u2019hui comme une alternative plus performante.<\/p>\n\n\n\n<p>Gr\u00e2ce \u00e0 l\u2019analyse des donn\u00e9es terrain issues des capteurs (temp\u00e9rature, vibrations, intensit\u00e9 \u00e9lectrique, vitesse de rotation, etc.), il devient possible de rep\u00e9rer les signaux faibles annonciateurs d\u2019une d\u00e9faillance. Ce passage de la r\u00e9action \u00e0 la pr\u00e9vention permet d\u2019organiser les interventions en amont de la panne, de limiter les co\u00fbts d\u2019arr\u00eat, et d\u2019optimiser la planification des ressources.<\/p>\n\n\n\n<p><strong>L\u2019intelligence artificielle comme catalyseur<\/strong><br>Les nouvelles g\u00e9n\u00e9rations de syst\u00e8mes pr\u00e9dictifs sont d\u00e9sormais dot\u00e9es d\u2019intelligence artificielle capable de mod\u00e9liser le comportement des machines et d\u2019identifier les \u00e9carts significatifs. Cette technologie permet non seulement de d\u00e9tecter les anomalies, mais aussi d\u2019estimer la dur\u00e9e de vie r\u00e9siduelle d\u2019un composant, d\u2019associer les causes probables d\u2019une d\u00e9rive de performance, et d\u2019enrichir les diagnostics \u00e0 l\u2019aide de retours d\u2019exp\u00e9rience crois\u00e9s.<\/p>\n\n\n\n<p>L\u2019IA joue \u00e9galement un r\u00f4le croissant dans l\u2019optimisation \u00e9nerg\u00e9tique. En analysant les conditions de fonctionnement en temps r\u00e9el, certaines solutions sont capables d\u2019alerter sur les situations de surconsommation, les pertes de rendement ou les conditions anormales d\u2019usage. L\u2019am\u00e9lioration de l\u2019efficacit\u00e9 \u00e9nerg\u00e9tique devient alors un b\u00e9n\u00e9fice compl\u00e9mentaire \u00e0 la r\u00e9duction des arr\u00eats.<\/p>\n\n\n\n<p><strong>Des r\u00e9sultats mesurables sur le terrain<\/strong><br>Les retours d\u2019exp\u00e9rience recueillis sur le terrain montrent des gains significatifs. L\u2019impl\u00e9mentation d\u2019une strat\u00e9gie de maintenance pr\u00e9dictive bien calibr\u00e9e permet une augmentation de 20 \u00e0 30 % de la disponibilit\u00e9 machine. La dur\u00e9e de vie des \u00e9quipements est prolong\u00e9e de 15 \u00e0 20 %, r\u00e9duisant ainsi la fr\u00e9quence des remplacements et le co\u00fbt total de possession. En parall\u00e8le, les \u00e9conomies d\u2019\u00e9nergie g\u00e9n\u00e9r\u00e9es par l\u2019identification des d\u00e9rives de performance peuvent atteindre plusieurs points sur la facture \u00e9nerg\u00e9tique globale.<\/p>\n\n\n\n<p>Ces r\u00e9sultats d\u00e9montrent que la maintenance pr\u00e9dictive n\u2019est pas seulement une solution technique : c\u2019est un levier strat\u00e9gique au service de la performance industrielle. Dans les environnements fortement automatis\u00e9s comme celui de l\u2019emballage, o\u00f9 les cadences sont soutenues et les marges \u00e9troites, cette approche permet de s\u00e9curiser les flux et de renforcer la comp\u00e9titivit\u00e9 face \u00e0 la volatilit\u00e9 des march\u00e9s.<br>Dans un contexte o\u00f9 la continuit\u00e9 de production est un facteur cl\u00e9 de comp\u00e9titivit\u00e9, l\u2019anticipation des pannes devient un imp\u00e9ratif. En combinant capteurs, analyse de donn\u00e9es et intelligence artificielle, la maintenance pr\u00e9dictive offre une r\u00e9ponse efficace aux enjeux de disponibilit\u00e9, de performance et d\u2019optimisation \u00e9nerg\u00e9tique. Elle constitue une brique essentielle dans la transformation num\u00e9rique des sites industriels, au service d\u2019une industrie plus fiable, plus r\u00e9active et plus durable.<\/p>","protected":false},"excerpt":{"rendered":"<p>Par Pierre Vandenhove, pdg de DV GROUP. Chaque mois, 79% des entreprises fran\u00e7aises subissent des arr\u00eats de production non planifi\u00e9s, selon une \u00e9tude men\u00e9e par ABB. Le co\u00fbt moyen d\u2019une heure d\u2019arr\u00eat s\u2019\u00e9l\u00e8ve \u00e0 68 000 \u20ac. Ces interruptions, provoqu\u00e9es majoritairement par des d\u00e9faillances techniques, ont des r\u00e9percussions majeures sur la performance globale des sites [&hellip;]<\/p>","protected":false},"author":2,"featured_media":45357,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"iawp_total_views":3,"footnotes":""},"categories":[28,26,81,65],"tags":[],"class_list":["post-45356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article-entier","category-laterale","category-packaging","category-vu-dans-le-mag"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>La maintenance pr\u00e9dictive : un levier de comp\u00e9titivit\u00e9 face aux arr\u00eats non planifi\u00e9s - Emballage Digest<\/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.emballagedigest.fr\/en\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"La maintenance pr\u00e9dictive : un levier de comp\u00e9titivit\u00e9 face aux arr\u00eats non planifi\u00e9s - Emballage Digest\" \/>\n<meta property=\"og:description\" content=\"Par Pierre Vandenhove, pdg de DV GROUP. Chaque mois, 79% des entreprises fran\u00e7aises subissent des arr\u00eats de production non planifi\u00e9s, selon une \u00e9tude men\u00e9e par ABB. Le co\u00fbt moyen d\u2019une heure d\u2019arr\u00eat s\u2019\u00e9l\u00e8ve \u00e0 68 000 \u20ac. Ces interruptions, provoqu\u00e9es majoritairement par des d\u00e9faillances techniques, ont des r\u00e9percussions majeures sur la performance globale des sites [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.emballagedigest.fr\/en\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\" \/>\n<meta property=\"og:site_name\" content=\"Emballage Digest\" \/>\n<meta property=\"article:published_time\" content=\"2025-08-31T08:04:34+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-04T08:09:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.emballagedigest.fr\/wp-content\/uploads\/2025\/09\/Pierre_Vandenhove.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Karine Duval\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Karine Duval\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\"},\"author\":{\"name\":\"Karine Duval\",\"@id\":\"https:\/\/www.emballagedigest.fr\/#\/schema\/person\/76abe9f2b2ee4d3d520594c7a35da59f\"},\"headline\":\"La maintenance pr\u00e9dictive : un levier de comp\u00e9titivit\u00e9 face aux arr\u00eats non planifi\u00e9s\",\"datePublished\":\"2025-08-31T08:04:34+00:00\",\"dateModified\":\"2025-09-04T08:09:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\"},\"wordCount\":733,\"publisher\":{\"@id\":\"https:\/\/www.emballagedigest.fr\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.emballagedigest.fr\/wp-content\/uploads\/2025\/09\/Pierre_Vandenhove.jpg\",\"articleSection\":[\"Article entier\",\"Barre lat\u00e9rale\",\"Packaging\",\"Vu dans le mag\"],\"inLanguage\":\"en-GB\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\",\"url\":\"https:\/\/www.emballagedigest.fr\/la-maintenance-predictive-un-levier-de-competitivite-face-aux-arrets-non-planifies\/\",\"name\":\"La maintenance pr\u00e9dictive : un levier de comp\u00e9titivit\u00e9 face aux arr\u00eats non planifi\u00e9s - 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