{"id":35053,"date":"2025-01-08T09:05:11","date_gmt":"2025-01-08T08:05:11","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=20940"},"modified":"2025-01-08T09:08:43","modified_gmt":"2025-01-08T08:08:43","slug":"product-lifecycle-management-wird-zum-lernenden-system","status":"publish","type":"post","link":"https:\/\/www.organisator.ch\/it\/operational-excellence\/2025-01-08\/product-lifecycle-management-wird-zum-lernenden-system\/","title":{"rendered":"La gestione del ciclo di vita del prodotto diventa un sistema di apprendimento"},"content":{"rendered":"
\"\"\r\n
L'intelligenza artificiale sta cambiando la gestione del ciclo di vita del prodotto: il filo digitale sta diventando il fulcro dello sviluppo e della produzione dei prodotti moderni. (Immagine: www.aras.com)<\/figcaption>\r\n<\/figure>\r\n

\"PLM e AI formano una partnership simbiotica in cui entrambe le tecnologie si rafforzano a vicenda. Il PLM fornisce i dati e li collega tra loro. Questo lo rende, per cos\u00ec dire, la base per l'utilizzo dell'IA. Questa \u00e8 poi in grado di analizzare e interpretare i dati\", afferma Jens Rollenm\u00fcller, Vicepresidente regionale di Aras. Secondo l'esperto di digitalizzazione, il potenziale dell'IA nell'ambiente industriale pu\u00f2 essere sfruttato appieno solo mettendo in rete le aree pi\u00f9 diverse del ciclo di vita del prodotto.<\/p>\r\n

Come immagine digitale costantemente aggiornata del prodotto fisico, il \"filo digitale\" fornisce le informazioni necessarie per l'analisi e costituisce la base per le decisioni. Questo sviluppo influenza l'intero processo produttivo, dalla produzione e progettazione fino al riciclaggio. Rollenm\u00fcller: \"Con l'aiuto di tecnologie innovative di intelligenza artificiale, sta nascendo una nuova generazione di sistemi PLM adattivi, di autoapprendimento e proattivi che consentiranno alle aziende di agire in modo pi\u00f9 flessibile ed efficiente\".<\/p>\r\n

Il gemello digitale diventa un consulente attivo<\/strong><\/h3>\r\n

L'immissione continua di dati \u00e8 importante per l'apprendimento di un sistema PLM. Ci\u00f2 include l'analisi dei dati di produzione, il controllo dello stato dei fornitori, la valutazione del feedback dei clienti e persino i commenti sulle piattaforme dei social media possono fornire informazioni importanti. I risultati confluiscono nei processi di sviluppo o di produzione e in precise previsioni di vendita. Dalla somma dei dati analizzati, il software fornisce suggerimenti intelligenti per l'ottimizzazione e aiuta a immettere nuovi prodotti sul mercato in modo mirato.<\/p>\r\n

Il gemello digitale accompagna il prodotto reale per tutto il suo ciclo di vita. Raccoglie continuamente dati sia dalla produzione che dall'utilizzo da parte del cliente e trasmette le informazioni al PLM o all'AI per l'analisi. Le conoscenze acquisite vengono automaticamente incorporate nelle nuove generazioni di prodotti. Il risultato: sviluppo pi\u00f9 rapido, costi inferiori, qualit\u00e0 superiore e migliore personalizzazione.<\/p>\r\n

\"Con il Filo Digitale, l'intelligenza artificiale pu\u00f2 rilevare le esigenze dei clienti in tempo reale e personalizzare di conseguenza lo sviluppo dei prodotti. Questo rende possibile l'iper-personalizzazione. I prodotti si adattano alle esigenze individuali quasi in tempo reale\", afferma l'esperto di digitalizzazione Rollenm\u00fcller.<\/p>\r\n

L'intelligenza artificiale sa cosa fa funzionare l'azienda<\/strong><\/h3>\r\n

Un esempio dell'ampia gamma di applicazioni dei sistemi applicativi supportati dall'intelligenza artificiale \u00e8 il loro utilizzo presso lo specialista navale thyssenkrupp Marine Systems (TKMS). Qui, i processi interni vengono analizzati con il supporto del software allo scopo di creare un'immagine digitale dell'intera azienda. Kira Giesecke, responsabile della strategia della catena del valore di TKMS: \"Le possibilit\u00e0 che abbiamo ora con Aras Innovator ci permettono di mettere in rete le informazioni. Tra le altre cose, questo ci permette di insegnare all'IA cosa fa funzionare la nostra azienda\".<\/p>\r\n

Fonte: www.aras.com<\/a><\/em><\/p>\n

Questo articolo \u00e8 apparso originariamente su m-q.ch - https:\/\/www.m-q.ch\/de\/product-lifecycle-management-wird-zum-lernenden-system\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"

L'integrazione dell'intelligenza artificiale (AI) nella gestione del ciclo di vita del prodotto (PLM) segna una svolta: mentre prima i sistemi PLM erano utilizzati principalmente per il collegamento e la gestione dei dati strutturati, l'AI conferisce loro capacit\u00e0 proattive e collaborative. Il \"digital thread\", ovvero il filo digitale che attraversa tutti i processi, sta quindi diventando il fulcro dello sviluppo e della produzione dei prodotti moderni.<\/p>","protected":false},"author":80,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"Product Lifecycle Management","_yoast_wpseo_metadesc":"KI ver\u00e4ndert das Product Lifecycle Management: Der Digital Thread wird zum Herzst\u00fcck moderner Produktentwicklung und Fertigung.","articlekey":"","footnotes":""},"categories":[582],"tags":[103,4989,319,3952,394,492],"class_list":["post-35053","post","type-post","status-publish","format-standard","hentry","category-operational-excellence","tag-business-excellence","tag-digital-thread","tag-kuenstliche-intelligenz","tag-product-lifecycle-management","tag-produktentwicklung","tag-unternehmen"],"acf":[],"yoast_head":"\nProduct Lifecycle Management wird zum lernenden System - 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