{"id":6786,"date":"2026-10-15T11:00:38","date_gmt":"2026-10-15T09:00:38","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/la-ia-esta-transformant-les-fabriques-dautomobils-manteniment-predictiu-bessons-digitals-i-ia-explicable\/"},"modified":"2026-10-16T20:49:22","modified_gmt":"2026-10-16T18:49:22","slug":"la-ia-esta-transformant-les-fabriques-dautomobils-manteniment-predictiu-bessons-digitals-i-ia-explicable","status":"publish","type":"post","link":"https:\/\/www.mosaicfactor.com\/ca\/la-ia-esta-transformant-les-fabriques-dautomobils-manteniment-predictiu-bessons-digitals-i-ia-explicable\/","title":{"rendered":"La IA est\u00e0 transformant les f\u00e0briques d&#8217;autom\u00f2bils: manteniment predictiu, bessons digitals i IA explicable"},"content":{"rendered":"<p><span data-teams=\"true\">La intel\u00b7lig\u00e8ncia artificial est\u00e0 transformant r\u00e0pidament la fabricaci\u00f3 d&#8217;autom\u00f2bils, des del manteniment predictiu i l&#8217;optimitzaci\u00f3 energ\u00e8tica fins als bessons digitals i el control de qualitat. Al <a id=\"menurbou\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.auto-revista.com\/estatica\/nuevo-numero#bn\/1\" href=\"https:\/\/www.auto-revista.com\/estatica\/nuevo-numero#bn\/1\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link n\u00famero de setembre d'AutoRevista (p\u00e0gina 64)\"><b><u>n\u00famero de setembre d&#8217;AutoRevista (p\u00e0gina 64)<\/u><\/b><\/a>, <b>Mosaic Factor hi va participar<\/b> al costat d&#8217;Overstand Intelligence i GFT per analitzar <i><b>com la IA ja est\u00e0 aportant un valor mesurable a la planta de producci\u00f3<\/b><\/i>.<\/span><\/p>\n<p><span data-teams=\"true\">En aquest article compartim les principals conclusions del reportatge i aprofundim en \u00e0mbits cada vegada m\u00e9s importants per als fabricants (OEM) i prove\u00efdors del sector: la <b>IA explicable<\/b>, la <b>presa de decisions fiable<\/b>, els <b>bessons digitals industrials<\/b> i l&#8217;<b>evoluci\u00f3 cap al vehicle definit per programari<\/b> (SDV).<\/span><\/p>\n<h2>1. Centrar la inversi\u00f3 en IA en els processos de fabricaci\u00f3 de m\u00e9s impacte<\/h2>\n<p><span data-teams=\"true\"><b><\/b>La IA ofereix el retorn de la inversi\u00f3 m\u00e9s alt en entorns de fabricaci\u00f3 on la complexitat operativa, les aturades dels equips i els problemes de qualitat generen costos importants.<br \/>\nCom vam explicar a AutoRevista:<\/span><\/p>\n<blockquote><p><span data-teams=\"true\">\u00abEls <b>retorns m\u00e9s grans<\/b> se solen trobar en \u00e0rees caracteritzades per una <b>alta complexitat operativa, grans volums de dades i costos significatius<\/b> associats a aturades, reprocessaments o consum energ\u00e8tic\u00bb.<\/span><\/p><\/blockquote>\n<p><span data-teams=\"true\">A la pr\u00e0ctica, aix\u00f2 vol dir:<\/span><\/p>\n<ul>\n<li><span data-teams=\"true\">manteniment predictiu en equips cr\u00edtics<\/span><\/li>\n<li><span data-teams=\"true\">monitoratge en temps real per detectar colls d&#8217;ampolla<\/span><\/li>\n<li><span data-teams=\"true\">ajust de par\u00e0metres de proc\u00e9s<\/span><\/li>\n<li><span data-teams=\"true\">i control de qualitat basat en dades de sensors i de sistemes MES, SCADA i PLC.<\/span><\/li>\n<\/ul>\n<p><span data-teams=\"true\">Els bessons digitals ho integren tot. Abans de moure una l\u00ednia, modificar un flux log\u00edstic o ampliar la capacitat, una planta pot provar el canvi de manera virtual, <i>\u00abreduint el risc i accelerant la presa de decisions\u00bb<\/i>.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6764\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Trends-Automotive-AI-300x171.webp\" alt=\"AI in automotive Mosaic Factor\" width=\"300\" height=\"171\" \/><\/p>\n<h2>2. La IA predictiva i la IA generativa resolen reptes de fabricaci\u00f3 diferents<\/h2>\n<p><span data-teams=\"true\"><b><br \/>\n<\/b>En la fabricaci\u00f3 d&#8217;autom\u00f2bils, <b>la IA predictiva s&#8217;utilitza habitualment per al manteniment predictiu<\/b>, <b>la detecci\u00f3 d&#8217;anomalies<\/b> i <b>l&#8217;optimitzaci\u00f3 de processos<\/b>, mentre que <b>la IA generativa dona suport a la gesti\u00f3 del coneixement<\/b>, <b>la documentaci\u00f3 d&#8217;enginyeria<\/b> i <b>l&#8217;assist\u00e8ncia als treballadors<\/b>.<br \/>\nSovint es posen al mateix sac, per\u00f2 a la planta resolen problemes diferents. Els models predictius s\u00f3n l&#8217;eina m\u00e9s madura i s&#8217;utilitzen per anticipar avaries, modelitzar el comportament dels equips i planificar el manteniment. La IA generativa \u00e9s m\u00e9s recent i ajuda m\u00e9s les persones que les m\u00e0quines: fa accessible la documentaci\u00f3 t\u00e8cnica i el coneixement expert als equips de producci\u00f3, enginyeria, manteniment i qualitat. Aquest segon \u00fas s&#8217;est\u00e0 tornant urgent. Com vam assenyalar a l&#8217;entrevista:<\/span><\/p>\n<blockquote><p><span data-teams=\"true\">\u00abLa transfer\u00e8ncia de coneixement i la disponibilitat de personal especialitzat s&#8217;han convertit en reptes estrat\u00e8gics per a moltes plantes\u00bb.<\/span><\/p><\/blockquote>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6762\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Trends-Automotive-AI-2-300x200.webp\" alt=\"AI in automotive Mosaic Factor\" width=\"300\" height=\"200\" \/><\/p>\n<h2>3. L&#8217;optimitzaci\u00f3 energ\u00e8tica basada en IA s&#8217;est\u00e0 convertint en un avantatge competitiu<\/h2>\n<p><span data-teams=\"true\">Les operacions d&#8217;alt consum energ\u00e8tic, com ara els tallers de pintura, els forns, els sistemes d&#8217;aire comprimit i les instal\u00b7lacions de climatitzaci\u00f3 (HVAC), s&#8217;estan <b>optimitzant cada vegada m\u00e9s mitjan\u00e7ant models d&#8217;aprenentatge autom\u00e0tic i tecnologies de bess\u00f3 digital<\/b>.<\/span><\/p>\n<p><span data-teams=\"true\">L&#8217;aprenentatge autom\u00e0tic i els bessons digitals permeten <b>detectar patrons de consum<\/b>, <b>assenyalar anomalies<\/b> i <b>simular escenaris de producci\u00f3<\/b>. L&#8217;objectiu \u00e9s <b>consumir menys energia sense renunciar a la qualitat ni a la producci\u00f3<\/b>. Aquestes capacitats tamb\u00e9 s\u00f3n al centre de <a id=\"menurbp1\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.mosaicfactor.com\/projects\/twin-loop\/\" href=\"https:\/\/www.mosaicfactor.com\/ca\/projects\/twin-loop\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Twin-Loop\"><b><u>Twin-Loop<\/u><\/b><\/a>, el nostre projecte Horizon Europe, en qu\u00e8 desenvolupem bessons digitals impulsats per IA per ajudar els operadors industrials a entendre l&#8217;impacte de les decisions de producci\u00f3 en el consum energ\u00e8tic, l&#8217;efici\u00e8ncia dels recursos i el rendiment en sostenibilitat. El projecte reflecteix un canvi m\u00e9s ampli cap a entorns de fabricaci\u00f3 m\u00e9s intel\u00b7ligents i basats en dades, capa\u00e7os d&#8217;adaptar-se i d&#8217;optimitzar les operacions de manera cont\u00ednua.<\/span><\/p>\n<blockquote><p><span data-teams=\"true\">\u00abAix\u00f2 permet passar d&#8217;una gesti\u00f3 energ\u00e8tica reactiva a una optimitzaci\u00f3 cont\u00ednua basada en dades, un enfocament que tamb\u00e9 s&#8217;alinea amb els objectius de sostenibilitat i de reducci\u00f3 d&#8217;emissions que s&#8217;est\u00e0 marcant actualment la ind\u00fastria de l&#8217;automoci\u00f3\u00bb, va afirmar el nostre CTO.<\/span><\/p><\/blockquote>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6763\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Trends-Automotive-AI-3-300x195.webp\" alt=\"AI in automotive Mosaic Factor\" width=\"300\" height=\"195\" \/><\/p>\n<h2>4. La IA explicable mant\u00e9 les persones al comandament de les decisions cr\u00edtiques de fabricaci\u00f3<\/h2>\n<p><span data-teams=\"true\"><b><br \/>\n<\/b>A mesura que els sistemes d&#8217;IA s&#8217;integren m\u00e9s profundament en els processos productius, <i><b>la IA explicable<\/b><\/i> (XAI) <i>s&#8217;est\u00e0 tornant <\/i><i><b>imprescindible<\/b><\/i><i> per a l&#8217;<\/i><i><b>assegurament de la qualitat<\/b><\/i><i>, el <\/i><i><b>compliment normatiu<\/b><\/i><i> i la <\/i><i><b>confian\u00e7a operativa<\/b><\/i>.<br \/>\nEls equips de fabricaci\u00f3 i de qualitat necessiten entendre per qu\u00e8 un sistema d&#8217;IA recomana una acci\u00f3 concreta, sobretot quan les decisions afecten la seguretat, la continu\u00eftat de la producci\u00f3 o la qualitat del producte.<\/span><\/p>\n<p><span data-teams=\"true\">Les tres empreses del reportatge hi van coincidir. La visi\u00f3 artificial ja resol molt b\u00e9 la major part de la inspecci\u00f3 repetitiva i de gran volum. Tanmateix, per als components m\u00e9s cr\u00edtics, creiem que la millor configuraci\u00f3 combina IA, sistemes de visi\u00f3 i supervisi\u00f3 humana.<\/span><\/p>\n<p><span data-teams=\"true\">Hi ha un motiu darrere d&#8217;aix\u00f2 que no es va incloure a la versi\u00f3 impresa. En entorns industrials, les decisions han de ser auditables i comprensibles per als equips de producci\u00f3 i de qualitat que en responen. Per aix\u00f2 ens centrem en una IA explicable i fiable, i per aix\u00f2 el nostre lema \u00e9s <i><b>AI you can trust<\/b><\/i>.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6777\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Image-_2_-300x188.webp\" alt=\"AI in automotive Mosaic Factor\" width=\"300\" height=\"188\" \/><\/p>\n<p><span data-teams=\"true\">La nostra visi\u00f3 \u00e9s que la IA ha de fer els equips m\u00e9s capa\u00e7os, no substituir-los, i ajudar-los a decidir m\u00e9s de pressa, amb millors evid\u00e8ncies i menys incertesa.<\/span><\/p>\n<h2>5. El vehicle definit per programari est\u00e0 transformant la fabricaci\u00f3 d&#8217;autom\u00f2bils<\/h2>\n<p><span data-teams=\"true\"><b><br \/>\n<\/b>L&#8217;auge del <b>vehicle definit per programari<\/b> (SDV) <b>no nom\u00e9s est\u00e0 canviant el desenvolupament dels vehicles<\/b>, sin\u00f3 <b>tamb\u00e9 la manera com funcionen les plantes d&#8217;automoci\u00f3<\/b>.<br \/>\nEls vehicles moderns depenen cada vegada m\u00e9s del programari, els sensors, la connectivitat i les actualitzacions cont\u00ednues al llarg de tot el seu cicle de vida. Per aix\u00f2, els fabricants necessiten entorns de producci\u00f3 capa\u00e7os d&#8217;adaptar-se r\u00e0pidament als canvis de producte, validar sistemes amb un alt component de programari i mantenir una tra\u00e7abilitat d&#8217;extrem a extrem.<\/span><\/p>\n<p><span data-teams=\"true\">La IA, els bessons digitals i l&#8217;anal\u00edtica avan\u00e7ada tenen un paper clau en aquesta transici\u00f3. Permeten als fabricants simular escenaris de producci\u00f3, supervisar la qualitat en temps real i accelerar la presa de decisions tant en l&#8217;enginyeria com en les operacions de planta.<\/span><\/p>\n<p><span data-teams=\"true\">A Mosaic Factor creiem que la <i>converg\u00e8ncia de la IA, els bessons digitals industrials i els sistemes explicables de suport a la decisi\u00f3 ser\u00e0 fonamental per a la propera generaci\u00f3 de fabricaci\u00f3 de vehicles definits per programari<\/i>.<br \/>\nO, com ho vam expressar a AutoRevista:<\/span><\/p>\n<blockquote><p><span data-teams=\"true\">\u00abAl nostre parer, el futur passa per una integraci\u00f3 cada vegada m\u00e9s gran entre el m\u00f3n f\u00edsic i el digital, amb la IA com a columna vertebral de tota la cadena de valor\u00bb.<\/span><\/p><\/blockquote>\n<div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-6767\" src=\"https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Trends-Automotive-AI-4-300x204.webp\" alt=\"AI in automotive Mosaic Factor\" width=\"300\" height=\"204\" \/><\/p>\n<div>\n<h2><\/h2>\n<h2>La IA en la fabricaci\u00f3 d&#8217;autom\u00f2bils exigeix m\u00e9s que automatitzaci\u00f3<\/h2>\n<p><span data-teams=\"true\"><b><br \/>\n<\/b>La ind\u00fastria de l&#8217;automoci\u00f3 est\u00e0 <b>deixant enrere els pilots a\u00efllats d&#8217;IA<\/b> i <b>avan\u00e7ant cap a operacions basades en dades on el manteniment predictiu<\/b>, <b>els bessons digitals, l&#8217;optimitzaci\u00f3 energ\u00e8tica i la IA explicable treballen conjuntament<\/b> per <b>millorar la productivitat i la resili\u00e8ncia<\/b>.<br \/>\nPer als fabricants i prove\u00efdors del sector, <i>el repte ja no \u00e9s si cal adoptar la IA, sin\u00f3 on generar valor primer i com escalar les solucions de manera segura i transparent<\/i>.<\/span><\/p>\n<\/div>\n<div><span data-teams=\"true\">A Mosaic Factor <b>ajudem les organitzacions industrials a implantar solucions d&#8217;IA fiable<\/b>, <b>aprenentatge autom\u00e0tic<\/b>, <b>bessons digitals<\/b> i <b>IA explicable<\/b> que <b>generen un impacte mesurable<\/b> sense deixar de <b>situar les persones al centre de la presa de decisions<\/b>. A mesura que la fabricaci\u00f3 d&#8217;autom\u00f2bils evoluciona cap a l&#8217;era del vehicle definit per programari, <b>la IA industrial fiable i explicable es convertir\u00e0 en un factor diferencial competitiu clau<\/b>.<br \/>\nGr\u00e0cies a AutoRevista i a Irene D\u00edaz per comptar amb nosaltres, i a Overstand Intelligence i GFT per un debat excel\u00b7lent.<br \/>\n\ud83d\udcd6 <b>Llegeix el <\/b><a id=\"menurbp4\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.auto-revista.com\/file\/view\/63510#bn\/1\" href=\"https:\/\/www.auto-revista.com\/file\/view\/63510#bn\/1\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link reportatge complet a AutoRevista n\u00fam. 2.414 (setembre de 2026), p\u00e0g. 64\u201369.\"><b><u>reportatge complet a AutoRevista n\u00fam. 2.414 (setembre de 2026), p\u00e0g. 64\u201369.<\/u><\/b><\/a><br \/>\n\ud83c\udfa5 <b><u>Mira el nostre v\u00eddeo corporatiu:<\/u><\/b><\/span><\/div>\n<div>\n<p><iframe loading=\"lazy\" title=\"Presentant MOSAIC FACTOR\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/wjRgsLhv3_Q?feature=oembed\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descobreix tecnologies que estan transformant la fabricaci\u00f3 d&#8217;autom\u00f2bils i el cam\u00ed cap als Vehicles Definits per Programari.<\/p>\n","protected":false},"author":2,"featured_media":6785,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[205,217,192,212],"tags":[],"class_list":["post-6786","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-automocio","category-digital-twins-ca","category-models-predictius","category-trustworthy-ia-ca"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mosaic Factor | AI Automotive Manufacturing: DTs, XAI &amp; SDVs<\/title>\n<meta name=\"description\" content=\"Les f\u00e0briques d&#039;autom\u00f2bils utilitzen bessons digitals, IA explicable, manteniment predictiu i optimitzaci\u00f3 energ\u00e8tica. 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