{"id":89928,"date":"2025-02-27T09:07:30","date_gmt":"2025-02-27T01:07:30","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=89928"},"modified":"2025-02-27T09:07:45","modified_gmt":"2025-02-27T01:07:45","slug":"gestion-des-stocks-de-pieces-avec-ar-ia","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/gestion-des-stocks-de-pieces-avec-ar-ia\/","title":{"rendered":"Gestion des stocks de pi\u00e8ces avec AR + IA"},"content":{"rendered":"
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<\/span>\"Automated
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META-aivi\u00c9tude de cas<\/span><\/h2>\n\n\n\n
Fabrication<\/a> | Transformation des m\u00e9taux<\/a><\/span><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Gestion des stocks de pi\u00e8ces avec AR + IA<\/h1><\/div><\/div>\n\n\n\n
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Client<\/h2>\n\n\n\n

Le client est un fabricant et fournisseur d’\u00e9quipements m\u00e9caniques comptant des clients sur tous les continents.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Cas<\/h2>\n\n\n\n
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Gestion des stocks de pi\u00e8ces d\u00e9tach\u00e9es<\/h3>\n\n\n\n

Avec l\u2019essor du v\u00e9lo comme moyen de transport et activit\u00e9 de loisirs, sa popularit\u00e9 ne cesse de cro\u00eetre \u00e0 travers le monde. Pour tirer parti de cette tendance, les fabricants de v\u00e9los doivent accro\u00eetre leur production et optimiser leur cha\u00eene d’approvisionnement. En tant que fournisseur de pi\u00e8ces pour ces fabricants, le client avait besoin d’une solution pour assurer un suivi pr\u00e9cis de son stock et \u00e9viter toute rupture d\u2019approvisionnement.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n\n\n\n
\"high<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9fi<\/h2>\n\n\n\n
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Le volume et la diversit\u00e9 des pi\u00e8ces compliquent la gestion des stocks<\/h3>\n\n\n\n

En tant que fournisseur de pi\u00e8ces m\u00e9caniques, le client g\u00e8re un vaste stock de tubes en acier et autres composants de v\u00e9lo aux formes et tailles vari\u00e9es. Jusqu\u2019\u00e0 pr\u00e9sent, l\u2019inventaire \u00e9tait effectu\u00e9 manuellement par comptage \u2013 un processus inefficace et sujet aux erreurs, notamment parce que l’\u0153il humain peine \u00e0 distinguer des diam\u00e8tres de tubes tr\u00e8s proches, ce qui entra\u00eenait des erreurs de calcul et des inexactitudes. De plus, la complexit\u00e9 des mat\u00e9riaux rendait impossible la mise en place d\u2019une solution de comptage automatis\u00e9e.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Solution<\/h2>\n\n\n\n
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Un comptage rapide et pr\u00e9cis avec META-aivi<\/h3>\n\n\n\n

META-aivi<\/a> utilise l\u2019intelligence artificielle pour identifier instantan\u00e9ment les variations de taille des tubes avec une pr\u00e9cision accrue. Gr\u00e2ce \u00e0 sa fonctionnalit\u00e9 de comptage rapide, toutes les pi\u00e8ces sont classifi\u00e9es et compt\u00e9es en quelques secondes, et les r\u00e9sultats s\u2019affichent imm\u00e9diatement sur la tablette de l\u2019op\u00e9rateur. Ces donn\u00e9es sont ensuite transmises au syst\u00e8me d\u2019ex\u00e9cution de la production de l\u2019entreprise, contribuant ainsi \u00e0 am\u00e9liorer le rendement et l\u2019efficacit\u00e9 de la production.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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R\u00e9sultats de l\u2019inspection META-aivi<\/strong><\/h4>\n\n\n\n
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\"steel<\/div>\n\n\n\n
<\/div>\n\n\n\n
Avant l’inspection par IA :<\/strong>
La forme et le volume des tubes en m\u00e9tal rendent le comptage manuel difficile<\/h5>\n<\/div>\n<\/div>\n\n\n\n
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\"stack<\/div>\n\n\n\n
<\/div>\n\n\n\n
Apr\u00e8s l’inspection par IA :<\/strong>
META-aivi permet un comptage et une classification simultan\u00e9s rapides et 100 % pr\u00e9cis des tubes<\/h5>\n<\/div>\n<\/div>\n <\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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R\u00e9sultat<\/h2>\n\n\n\n
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<\/path><\/svg>Pr\u00e9cision de comptage de 100 %, n\u00e9cessitant une fraction du temps qu’il fallait pour compter manuellement<\/span><\/div>
<\/path><\/svg>Num\u00e9risation \u00e9largie de leur processus de gestion et de contr\u00f4le des stocks<\/span><\/div>
<\/path><\/svg>\u00c9limination des erreurs humaines, ce qui a consid\u00e9rablement am\u00e9lior\u00e9 l’efficacit\u00e9 et entra\u00een\u00e9 une r\u00e9duction du temps total de production<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

META-aivi utilise l’intelligence artificielle pour identifier instantan\u00e9ment les variations de taille des tuyaux avec pr\u00e9cision. Gr\u00e2ce \u00e0 la fonction de comptage rapide, toutes les diff\u00e9rentes pi\u00e8ces sont class\u00e9es et compt\u00e9es en quelques secondes.<\/p>","protected":false},"author":875,"featured_media":101630,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-a16ba6f{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-a16ba6f .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-a16ba6f .gspb_heading_subtitle,#gspb_subheading-id-gsbp-a16ba6f{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gspb_text-id-gsbp-c3844e90-556c{font-size:20px;text-align:center!important;font-weight:500!important;margin-bottom:0!important}.gspb_text-id-gsbp-c3844e90-556c 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