{"id":9716,"date":"2026-01-19T03:31:40","date_gmt":"2026-01-19T03:31:40","guid":{"rendered":"https:\/\/www.omch.com\/?p=9716"},"modified":"2026-01-19T03:31:41","modified_gmt":"2026-01-19T03:31:41","slug":"smart-manufacturing-examples-use-cases","status":"publish","type":"post","link":"https:\/\/www.omch.com\/tr\/smart-manufacturing-examples-use-cases\/","title":{"rendered":"Bilmeniz Gereken 12 Ak\u0131ll\u0131 \u00dcretim \u00d6rne\u011fi"},"content":{"rendered":"<p>D\u00fcnya imalat sekt\u00f6r\u00fc \u015fu anda d\u00f6rd\u00fcnc\u00fc sanayi devriminin getirdi\u011fi sismik bir de\u011fi\u015fimden ge\u00e7iyor. Kat\u0131, silo operasyonlar\u0131yla karakterize edilen geleneksel \u00fcretimden, son derece esnek, veri odakl\u0131 bir ekosisteme do\u011fru ilerliyoruz. <strong>Ak\u0131ll\u0131 \u00dcretim<\/strong>. Bu dijital d\u00f6n\u00fc\u015f\u00fcm sadece insan eme\u011fini robotlarla ikame etmekle ilgili de\u011fildir; daha \u00f6nce hi\u00e7 g\u00f6r\u00fclmemi\u015f bir de\u011fer yaratmak i\u00e7in dijital teknolojileri benimseyerek fiziksel donan\u0131m ve dijital zekan\u0131n sorunsuz bir \u015fekilde koordine edilmesiyle ilgilidir.<\/p>\n\n\n\n<p>Karar vericiler art\u0131k geli\u015fmi\u015f teknolojileri \u201cneden\u201d benimsemeleri gerekti\u011fini sormuyor; art\u0131k \u00fcretim s\u00fcre\u00e7lerini kolayla\u015ft\u0131rmak i\u00e7in bunlar\u0131 \u201cnas\u0131l\u201d etkili bir \u015fekilde uygulayacaklar\u0131na odaklan\u0131yorlar. Bu makalede, ak\u0131ll\u0131 \u00fcretimin uygulamadaki 12 \u00f6rne\u011fi, bu d\u00f6n\u00fc\u015f\u00fcm\u00fc sa\u011flayan temel teknolojiler ve \u00f6l\u00e7\u00fclebilir bir geri d\u00f6n\u00fc\u015f\u00fc garanti alt\u0131na almak i\u00e7in bu \u00e7abalar\u0131 geni\u015fletmeye y\u00f6nelik stratejik bir yol haritas\u0131 ele al\u0131nmaktad\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">End\u00fcstriyel Zekan\u0131n Evrimi: Basit Otomasyonun \u00d6tesinde<\/h2>\n\n\n\n<p>D\u00f6rd\u00fcnc\u00fc Sanayi Devrimi'nin etkisini tam olarak anlayabilmek i\u00e7in ak\u0131ll\u0131 \u00fcretim ile basit otomasyonu birbirinden ay\u0131rmak gerekir. \u0130malat end\u00fcstrisi, onlarca y\u0131ld\u0131r tekrar eden g\u00f6revleri yerine getirmek i\u00e7in Programlanabilir Mant\u0131k Denetleyicileri (PLC'ler) ve robotik kullanmaktad\u0131r. Bununla birlikte, bu eski moda \u00fcretim sistemleri \u201ck\u00f6r\u201d olma e\u011filimindedir, yani sabit talimatlara uyacak \u015fekilde programlanm\u0131\u015flard\u0131r ve bir insan operat\u00f6r dahil olmad\u0131\u011f\u0131 s\u00fcrece de\u011fi\u015fkenlere uyum sa\u011flayamazlar.<\/p>\n\n\n\n<p>Ak\u0131ll\u0131 \u00dcretim, yapay zeka taraf\u0131ndan beslenen bili\u015fsel bir zeka getiriyor. Do\u011fas\u0131 gere\u011fi, bir \u00fcretim tesisinin \u00e7al\u0131\u015fma \u015feklini yeniden tan\u0131mlayan iki s\u00fctunla karakterize edilir:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Veriye Dayal\u0131 Karar Verme:<\/strong> Eski sistemlerin aksine, ak\u0131ll\u0131 fabrikalar veriyi \u00f6nemli bir hammadde olarak g\u00f6rmektedir. Yapay zeka algoritmalar\u0131, kapsaml\u0131 veri toplama yoluyla kritik veri noktalar\u0131na d\u00f6n\u00fc\u015ft\u00fcr\u00fclen t\u00fcm sens\u00f6rleri, motorlar\u0131 ve r\u00f6leleri i\u015fler. Bu ger\u00e7ek zamanl\u0131 \u00fcretim verileri, veri y\u00f6netim sistemleri arac\u0131l\u0131\u011f\u0131yla toplan\u0131r ve i\u015flenir ve t\u00fcm \u00fcretim d\u00f6ng\u00fcs\u00fcn\u00fcn derinlemesine anla\u015f\u0131lmas\u0131n\u0131 sa\u011flamak i\u00e7in kullan\u0131l\u0131r.<\/li>\n\n\n\n<li><strong>Kendi Kendini Optimize Eden Sistemler:<\/strong> Bu evrimin son hali otonomidir. Ak\u0131ll\u0131 bir \u00fcretim ortam\u0131, anormallikleri tespit etmek ve \u00fcretim hatlar\u0131n\u0131 durdurmadan makine h\u0131z\u0131, s\u0131cakl\u0131k veya tak\u0131m yollar\u0131 gibi parametreleri ayarlamak i\u00e7in veri analiti\u011fi ve yapay zekadan yararlan\u0131r.<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples2.webp\" alt=\"akilli \u00fcreti\u0307m \u00f6rnekleri\u0307\" class=\"wp-image-9713\" srcset=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples2.webp 1024w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples2-300x225.webp 300w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples2-768x576.webp 768w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples2-16x12.webp 16w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Bu, \u201ci\u015fleri daha ak\u0131ll\u0131ca yapmaya\u201d ve bir \u00fcretim tesisinin tek seferlik \u00f6zel bir \u00fcr\u00fcn\u00fc bir milyon birimlik bir \u00fcretimle ayn\u0131 \u00fcretim verimlili\u011fi seviyesinde \u00fcretebildi\u011fi kitlesel \u00f6zelle\u015ftirmeye odaklanan bir de\u011fi\u015fim olmu\u015ftur.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">12 Farkl\u0131 \u00dcretim Sekt\u00f6r\u00fcnden Ger\u00e7ek D\u00fcnya \u00d6rnekleri<\/h2>\n\n\n\n<p>Pratik uygulama en iyi \u00f6\u011fretmendir. A\u015fa\u011f\u0131da sekt\u00f6re ve uygulama senaryosuna g\u00f6re kategorize edilmi\u015f, belirli sorunlar\u0131, ak\u0131ll\u0131 \u00fcretim teknolojilerini i\u00e7eren teknik \u00e7\u00f6z\u00fcmleri ve ortaya \u00e7\u0131kan etkiyi detayland\u0131ran 12 \u00f6rnek yer almaktad\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Kategori 1: Otomotiv ve A\u011f\u0131r Makine<\/h3>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u015easi Montaj\u0131nda Dijital \u0130kiz ve Sanal Ger\u00e7eklik (BMW)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Yeni bir montaj hatt\u0131 tasarlamak s\u00f6z konusu oldu\u011funda otomotiv end\u00fcstrisi b\u00fcy\u00fck bir sermaye riski ta\u015f\u0131r; yerle\u015fim plan\u0131ndaki tek bir hata pahal\u0131 darbo\u011fazlara neden olabilir.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> BMW, \u00fcretim tesisinin sanal kopyalar\u0131 olan y\u00fcksek do\u011fruluklu Dijital \u0130kizlerden yararlan\u0131yor. Tek bir ekipman par\u00e7as\u0131 bile kurulmadan \u00f6nce robotlar\u0131n ve i\u015f\u00e7ilerin t\u00fcm hareketleri sanal ger\u00e7eklik kullan\u0131larak sim\u00fcle ediliyor.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> 30% planlama i\u00e7in harcanan zamanda azalma, \u00e7\u00fcnk\u00fc olas\u0131 kusurlar ger\u00e7ek uygulamadan \u00f6nce sanal ortamda tespit edildi.<\/li>\n<\/ul>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>\u00dcretim i\u00e7in Entegre D\u00f6k\u00fcm ve Robotik <\/strong><strong>Kapasite<\/strong><strong> (Tesla)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Geleneksel otomobil g\u00f6vdelerinde 70'ten fazla ayr\u0131 damgal\u0131 bile\u015fen bulunur ve bu da \u00fcretim s\u00fcre\u00e7lerini a\u015f\u0131r\u0131 karma\u015f\u0131k ve a\u011f\u0131r hale getirir.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Tesla, b\u00fcy\u00fck ara\u00e7 par\u00e7alar\u0131n\u0131 tek par\u00e7a halinde d\u00f6kmek i\u00e7in \u201cGiga Presler\u201d ve yapay zeka kontroll\u00fc robotik senkronizasyon kullanarak \u00fcretim hatlar\u0131n\u0131 kolayla\u015ft\u0131r\u0131yor.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Fabrika alan\u0131nda muazzam bir azalma, kaynak noktalar\u0131n\u0131n say\u0131s\u0131nda d\u00fc\u015f\u00fc\u015f ve toplam \u00fcretim kapasitesinde muazzam bir art\u0131\u015f.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Kategori 2: Elektronik ve Hassas M\u00fchendislik<\/h3>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\u201c\u0130\u015fg\u00fcc\u00fc K\u0131tl\u0131\u011f\u0131n\u0131 Azaltmak i\u00e7in \u201dI\u015f\u0131klar A\u00e7\u0131k\" \u00dcretim (Foxconn)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Artan i\u015fg\u00fcc\u00fc maliyetleri ve kronik i\u015fg\u00fcc\u00fc k\u0131tl\u0131\u011f\u0131, y\u00fcksek hacimli elektronik \u00fcr\u00fcnlerde 7\/24 \u00fcretimi zorla\u015ft\u0131rmaktad\u0131r.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Yapay zeka taraf\u0131ndan y\u00f6netilen robotlar\u0131n PCB montaj\u0131ndan teste kadar her \u015feyi insan ayd\u0131nlatmas\u0131na veya iklim kontrol\u00fcne ihtiya\u00e7 duymadan ger\u00e7ekle\u015ftirdi\u011fi tamamen otonom \u201cKaranl\u0131k Fabrikalar\u0131n\u201d uygulanmas\u0131.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> El i\u015f\u00e7isi say\u0131s\u0131nda 92% azalma ve metrekare ba\u015f\u0131na \u00fcretimde 30% art\u0131\u015f.<\/li>\n<\/ul>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Yapay Zeka ile Otomatik Kalite Denetimi (Siemens)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> \u0130nsan denet\u00e7iler, y\u00fcksek yo\u011funluklu devre kartlar\u0131ndaki mikroskobik kusurlar\u0131 g\u00f6zden ka\u00e7\u0131rarak kalite g\u00fcvence \u00e7abalar\u0131n\u0131 baltal\u0131yor.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Geli\u015fmi\u015f analitik ve derin \u00f6\u011frenme algoritmalar\u0131 ile birle\u015ftirilmi\u015f y\u00fcksek h\u0131zl\u0131 kameralar saniyede binlerce lehim noktas\u0131n\u0131 inceler.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> \u201cAlt\u0131 Sigma\u201d kalite kontrol seviyesine ula\u015farak hata oran\u0131n\u0131 milyonda 3,4 par\u00e7an\u0131n alt\u0131na d\u00fc\u015f\u00fcrd\u00fc.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples1.webp\" alt=\"akilli \u00fcreti\u0307m \u00f6rnekleri\u0307\" class=\"wp-image-9712\" srcset=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples1.webp 1024w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples1-300x225.webp 300w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples1-768x576.webp 768w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples1-16x12.webp 16w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Kategori 3: \u0130la\u00e7 ve G\u0131da \u00dcretimi<\/h3>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>S\u00fcrekli \u00dcretim ve Parti Takibi (Pfizer)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Geleneksel i\u015fleme yava\u015ft\u0131r ve \u201cparti\u201d \u015feklindedir, tedarik zinciri y\u00f6netimi ve kontaminasyon takibi zordur.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Kimyasal reaksiyonlar\u0131 ger\u00e7ek zamanl\u0131 olarak izlemek i\u00e7in End\u00fcstriyel Nesnelerin \u0130nterneti (IIoT) sens\u00f6rlerinin kullan\u0131lmas\u0131, \u00fcretim s\u00fcrecinin s\u00fcrd\u00fcr\u00fclmesini sa\u011flayacakt\u0131r.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> \u00dcretim d\u00f6ng\u00fcleri haftalar yerine g\u00fcnlere k\u0131sald\u0131 ve kat\u0131 mevzuat gereklilikleri do\u011fru \u201ctakip ve izleme\u201d sayesinde kar\u015f\u0131lanabildi.<\/li>\n<\/ul>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Otomatik Bile\u015fen Dozaj\u0131 ve Kaynak Kullan\u0131m\u0131 (Nestl\u00e9)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Bile\u015fen oranlar\u0131ndaki tutars\u0131zl\u0131k g\u0131da israf\u0131na ve kaynaklar\u0131n k\u00f6t\u00fc kullan\u0131m\u0131na yol a\u00e7ar.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Merkezi bir veri y\u00f6netim sistemine ba\u011fl\u0131 y\u00fck h\u00fccreleri ve ak\u0131ll\u0131 ak\u0131\u015f \u00f6l\u00e7erler, dozaj\u0131 hammaddenin nemine ve yo\u011funlu\u011funa g\u00f6re d\u00fczenler.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Hammadde israf\u0131nda 15%'lik bir azalma ve k\u00fcresel \u00fcretim operasyonlar\u0131nda iyile\u015ftirilmi\u015f tekd\u00fczelik.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Kategori 4: Sekt\u00f6rler Aras\u0131 Uygulama Senaryolar\u0131<\/h3>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Tahmine Dayal\u0131 <\/strong><strong>Bak\u0131m<\/strong><strong> Ekipman Ar\u0131zalar\u0131n\u0131 \u00d6nlemek i\u00e7in (General Electric)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Planlanmam\u0131\u015f motor bak\u0131m\u0131 y\u0131k\u0131c\u0131 ve maliyetlidir ve genellikle \u00f6ng\u00f6r\u00fclemeyen ekipman ar\u0131zalar\u0131ndan kaynaklan\u0131r.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Titre\u015fim, \u0131s\u0131 ve akustik sens\u00f6rleri b\u00fcy\u00fck veri analiti\u011fini besler<strong>s<\/strong> bile\u015fen ar\u0131zas\u0131n\u0131 ger\u00e7ekle\u015fmeden \u00f6nce tahmin etmek i\u00e7in modeller.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Ar\u0131za s\u00fcresinde 20%\u201clik bir azalma ve kritik bile\u015fenler i\u00e7in \u00f6nemli \u00f6l\u00e7\u00fcde uzat\u0131lm\u0131\u015f \u201drevizyonlar aras\u0131 \u00f6m\u00fcr\".<\/li>\n<\/ul>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Enerji Y\u00f6netimi ve S\u00fcrd\u00fcr\u00fclebilirlik (Schneider Electric)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Ortalama bir \u00fcretim tesisi b\u00fcy\u00fck bir enerji oburudur ve tesis me\u015fgul olmad\u0131\u011f\u0131nda g\u00fc\u00e7 genellikle bo\u015fa harcan\u0131r.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Ger\u00e7ek zamanl\u0131 enerji fiyatlar\u0131na ve talebe g\u00f6re y\u00fckleri de\u011fi\u015ftiren ak\u0131ll\u0131 g\u00fc\u00e7 saya\u00e7lar\u0131 ve yapay zeka odakl\u0131 Bina Y\u00f6netim Sistemleri (BMS).<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Ortalama 25% enerji tasarrufu ve \u00fcretim tesisinin karbon ayak izinde do\u011frudan azalma.<\/li>\n<\/ul>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>\u0130ntralojistikte Otomatik G\u00fcd\u00fcml\u00fc Ara\u00e7lar (Amazon)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> E-ticaretin yerine getirilmesindeki en \u00f6nemli darbo\u011faz, depodaki mallar\u0131n manuel ak\u0131\u015f\u0131d\u0131r.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> iot cihazlar\u0131 yard\u0131m\u0131yla dinamik olarak hareket eden otomatik g\u00fcd\u00fcml\u00fc ara\u00e7lar\u0131n (AGV'ler) ve Otonom Mobil Robotlar\u0131n (AMR'ler) uygulanmas\u0131.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Depo verimlili\u011finde 400%'lik bir iyile\u015fme ve sipari\u015ften sevkiyata d\u00f6ng\u00fc s\u00fcrelerinde ciddi bir azalma.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples4.webp\" alt=\"akilli \u00fcreti\u0307m \u00f6rnekleri\u0307\" class=\"wp-image-9715\" srcset=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples4.webp 1024w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples4-300x225.webp 300w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples4-768x576.webp 768w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples4-16x12.webp 16w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>\u00dcretim Verimlili\u011fi i\u00e7in \u0130\u015fbirlik\u00e7i Robotlar (Cobot'lar)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Geleneksel end\u00fcstriyel robotlar insanlarla birlikte \u00e7al\u0131\u015famayacak kadar g\u00fcvensizdir ve bu da \u00fcretim s\u00fcrecinin esnekli\u011fini k\u0131s\u0131tlamaktad\u0131r.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Kuvvet geri besleme sens\u00f6rlerine sahip kobotlar, bir nesne veya insanla temas ettikleri anda dururlar.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> \u0130nsan \u00e7al\u0131\u015fmas\u0131 karma\u015f\u0131k i\u015flere odaklan\u0131rken, robotlar \u00fcretimin verimlili\u011fine b\u00fcy\u00fck katk\u0131 sa\u011flayan tekrarlayan i\u015fleri yap\u0131yor.<\/li>\n<\/ul>\n\n\n\n<ol start=\"5\" class=\"wp-block-list\">\n<li><strong>\u00dcretken Tasar\u0131m ve \u0130leri Teknolojiler (Airbus)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Yap\u0131sal b\u00fct\u00fcnl\u00fckten \u00f6d\u00fcn vermeden yak\u0131t tasarrufu sa\u011flamak i\u00e7in havac\u0131l\u0131k ve uzay par\u00e7alar\u0131n\u0131n m\u00fcmk\u00fcn oldu\u011funca hafif olmas\u0131 gerekir ki bu da geleneksel imalatla \u00e7\u00f6z\u00fclmesi zor bir sorundur.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> \u00dcretken yapay zeka gibi en son teknolojilerin yard\u0131m\u0131yla, stres parametrelerine ba\u011fl\u0131 olarak par\u00e7a tasar\u0131mlar\u0131n\u0131 \u201cb\u00fcy\u00fctmek\u201d ve ard\u0131ndan bunlar\u0131 hayata ge\u00e7irmek i\u00e7in eklemeli \u00fcretim yapmak.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Yapay zeka tasar\u0131m\u0131 ve eklemeli \u00fcretim aras\u0131ndaki sinerji, geleneksel CAD ve eksiltici y\u00f6ntemlerle tasarlananlardan 45% daha hafif par\u00e7alarla sonu\u00e7land\u0131.<\/li>\n<\/ul>\n\n\n\n<ol start=\"6\" class=\"wp-block-list\">\n<li><strong>AR Destekli <\/strong><strong>Bak\u0131m<\/strong><strong> i\u00e7in <\/strong><strong>S\u00fcrekli \u0130yile\u015ftirme<\/strong><strong> (Caterpillar)<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Problem:<\/strong> Sofistike ekipmanlar, her zaman sahada bulunamayan uzman teknisyenlere ihtiya\u00e7 duyar ve bu da s\u00fcrekli iyile\u015ftirmeyi geciktirir.<\/li>\n\n\n\n<li><strong>\u00c7\u00f6z\u00fcm:<\/strong> Dijital talimatlar\u0131 ve ger\u00e7ek zamanl\u0131 sens\u00f6r verilerini fiziksel makinenin \u00fczerine yerle\u015ftiren Art\u0131r\u0131lm\u0131\u015f Ger\u00e7eklik (AR) g\u00f6zl\u00fckleri.<\/li>\n\n\n\n<li><strong>Sonu\u00e7:<\/strong> Onar\u0131m s\u00fcresinde 50%'lik bir azalma ve gen\u00e7 teknisyenlerin uzman d\u00fczeyinde bak\u0131m yapabilmesi.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">G\u00fcn\u00fcm\u00fcz\u00fcn Ak\u0131ll\u0131 \u00dcretim Ba\u015far\u0131s\u0131na Y\u00f6n Veren Temel Teknolojiler<\/h2>\n\n\n\n<p>Yukar\u0131daki \u00f6rnekler belirli bir \u201cTeknoloji Y\u0131\u011f\u0131n\u0131\u201d taraf\u0131ndan m\u00fcmk\u00fcn k\u0131l\u0131nm\u0131\u015ft\u0131r. Bu unsurlar, dijital gelece\u011fine ili\u015fkin strateji geli\u015ftiren her kurulu\u015f i\u00e7in \u00f6nemlidir.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Teknoloji<\/td><td>Ak\u0131ll\u0131 \u00dcretimdeki Rol\u00fc<\/td><\/tr><tr><td>Nesnelerin \u0130nterneti (IoT)<\/td><td>Fabrika kat\u0131ndaki her makineyi ve sens\u00f6r\u00fc birbirine ba\u011flayan veri toplaman\u0131n temeli.<\/td><\/tr><tr><td>End\u00fcstriyel Nesnelerin \u0130nterneti (IIoT)<\/td><td>IoT'nin end\u00fcstriyel g\u00fcvenilirlik ve y\u00fcksek frekansl\u0131 \u00fcretim verilerine odaklanan \u00f6zel bir versiyonu.<\/td><\/tr><tr><td>Bulut Bili\u015fim<\/td><td>Veri y\u00f6netimi ve karma\u015f\u0131k b\u00fcy\u00fck veri analiti\u011fini \u00e7al\u0131\u015ft\u0131rmak i\u00e7in gereken \u00f6l\u00e7eklenebilir altyap\u0131y\u0131 sa\u011flar.<\/td><\/tr><tr><td>Veri Analiti\u011fi \/ B\u00fcy\u00fck Veri<\/td><td>\u201cMant\u0131k Motoru\u201d Ar\u0131zalar\u0131 \u00f6ng\u00f6ren veya kaliteyi optimize eden kal\u0131plar\u0131 belirlemek i\u00e7in veri analizini kullan\u0131r.<\/td><\/tr><tr><td>Sanal Ger\u00e7eklik (VR) \/ AR<\/td><td>E\u011fitim, bak\u0131m ve \u00fcretim s\u00fcre\u00e7lerini risksiz bir ortamda sim\u00fcle etmek i\u00e7in kullan\u0131l\u0131r.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Yat\u0131r\u0131m Getirisini En \u00dcst D\u00fczeye \u00c7\u0131karma: Ak\u0131ll\u0131 Giri\u015fimlerin Etkisinin \u00d6l\u00e7\u00fclmesi<\/h2>\n\n\n\n<p>Herhangi bir ak\u0131ll\u0131 \u00fcretim projesinin son g\u00f6stergesi <strong>Yat\u0131r\u0131m Getirisi<\/strong><strong> (<\/strong><strong>ROI<\/strong><strong>)<\/strong>. End\u00fcstri 4.0 Teknoloji Y\u0131\u011f\u0131n\u0131 \u015fa\u015f\u0131rt\u0131c\u0131d\u0131r ancak maliyet tasarrufu, gelir art\u0131\u015f\u0131 veya riskten ka\u00e7\u0131nma a\u00e7\u0131s\u0131ndan finansal bir kazanca d\u00f6n\u00fc\u015ft\u00fcr\u00fclmelidir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Kazan\u0131mlar\u0131n Say\u0131salla\u015ft\u0131r\u0131lmas\u0131<\/h3>\n\n\n\n<p>A\u015fa\u011f\u0131daki Temel Performans G\u00f6stergeleri (KPI'lar) genellikle liderler taraf\u0131ndan dijital d\u00f6n\u00fc\u015f\u00fcm\u00fcn i\u015f vakas\u0131n\u0131 olu\u015fturmak i\u00e7in dikkate al\u0131n\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>OEE (Genel Ekipman Etkinli\u011fi):<\/strong> Ak\u0131ll\u0131 giri\u015fimlerin \u00e7o\u011fu OEE'yi (\u00fcretim verimlili\u011finde 10-20% iyile\u015fme) art\u0131rmay\u0131 ama\u00e7lamaktad\u0131r.<\/li>\n\n\n\n<li><strong>Bak\u0131m<\/strong><strong> Masraflar:<\/strong> Reaktif bak\u0131mdan kestirimci bak\u0131ma ge\u00e7i\u015f, 30%'ye kadar maliyet tasarrufu sa\u011flayabilir ve ekipman ar\u0131zalar\u0131n\u0131 ortadan kald\u0131rabilir.<\/li>\n\n\n\n<li><strong>Kaliteli Verim:<\/strong> Ger\u00e7ek zamanl\u0131 izleme ve kalite g\u00fcvence sistemleri hurda ve yeniden i\u015flemeyi 15-25% oran\u0131nda azaltabilir.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">OMCH Avantaj\u0131: G\u00fcvenilir \u0130stihbarat i\u00e7in Bir Temel<\/h3>\n\n\n\n<p>BMW'nin Dijital \u0130kizleri veya GE'nin \u00f6ng\u00f6r\u00fcc\u00fc bak\u0131m\u0131 gibi yukar\u0131da bahsedilen y\u00fcksek profilli ak\u0131ll\u0131 \u00fcretim kullan\u0131m \u00f6rneklerinin ortak bir noktas\u0131 vard\u0131r: hepsi m\u00fckemmel, y\u00fcksek do\u011frulukta veri gerektirir. Fiziksel sens\u00f6r\u00fcn ar\u0131zalanmas\u0131 veya g\u00fc\u00e7 kayna\u011f\u0131n\u0131n sabit olmamas\u0131 durumunda en sofistike yapay zeka bile i\u015fe yaramaz. \u0130\u015fte bu noktada <strong>OMCH<\/strong> dijital d\u00f6n\u00fc\u015f\u00fcm\u00fcn end\u00fcstriyel d\u00fczeyde temelini sunar. \u00dcreticiler, OMCH'nin g\u00fcvenilir alg\u0131lama ve kontrol unsurlar\u0131n\u0131 entegre ederek acil onar\u0131mlar\u0131n \u00f6tesine ge\u00e7ebilir ve uzun vadeli sistem kararl\u0131l\u0131\u011f\u0131 sa\u011flayan proaktif bir yakla\u015f\u0131m benimseyebilirler.<\/p>\n\n\n\n<p><strong>OMCH \u00c7\u00f6z\u00fcmleri ile Vaka \u00c7al\u0131\u015fmalar\u0131n\u0131 Ger\u00e7e\u011fe D\u00f6n\u00fc\u015ft\u00fcrmek:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>K\u00f6pr\u00fcleme<\/strong><strong> Fiziksel ve Dijital (BMW &amp; Siemens \u00d6rne\u011fi):<\/strong> Yapay Zeka G\u00f6rme sistemlerinin veya Dijital \u0130kizlerin mikroskobik hassasiyetini elde etmek i\u00e7in, sapmayan alg\u0131lama donan\u0131m\u0131na sahip olman\u0131z gerekir. <strong>OMCH'nin 3.000'den fazla SKU'su<\/strong> y\u00fcksek hassasiyetli end\u00fcktif ve kapasitif sens\u00f6rler, cihaz\u0131n\u0131z\u0131n \u201cg\u00f6zleri\u201d olarak i\u015flev g\u00f6r\u00fcr <strong>\u00fcreti\u0307m hatlari<\/strong>, i\u00e7in gerekli olan kararl\u0131 girdiyi sa\u011flar. <strong>kali\u0307te kontrol<\/strong> algoritmalar\u0131n hatas\u0131z \u00e7al\u0131\u015fmas\u0131 i\u00e7in.<\/li>\n\n\n\n<li><strong>Kesinti S\u00fcresinin \u00d6nlenmesi <\/strong><strong>GE<\/strong><strong> Kar\u015f\u0131 sava\u015ft\u0131:<\/strong> Planlanmadan meydana gelen ekipman ar\u0131zalar\u0131 genellikle g\u00fc\u00e7 dalgalanmalar\u0131ndan veya bile\u015fenlerin a\u015f\u0131nmas\u0131ndan kaynaklan\u0131r. OMCH'nin \u00fcretti\u011fi hava devre kesicileri gibi d\u00fc\u015f\u00fck voltajl\u0131 elektrik \u00fcr\u00fcnleri (<strong>ACB<\/strong>) ve kat\u0131 hal r\u00f6leleri uluslararas\u0131 standartlara (<strong>IEC, CE<\/strong>). \u00dcretim tesisinizi, d\u00f6rd\u00fcnc\u00fc sanayi devrimi projesini raydan \u00e7\u0131karabilecek elektriksel de\u011fi\u015fkenlere kar\u015f\u0131 korurlar.<\/li>\n\n\n\n<li><strong>Bir Sonraki \u201cGiga Fabrikas\u0131\u201d i\u00e7in \u00d6l\u00e7eklenebilirli\u011fin Desteklenmesi:<\/strong> Tesla bir h\u0131z ve \u00f6l\u00e7ek \u015firketidir. OMCH'de <strong>86 \u015fube ve 7 \u00fcretim hatt\u0131<\/strong>, Bu da h\u0131zl\u0131 \u00f6l\u00e7eklendirme i\u00e7in gereken tedarik zinciri esnekli\u011fini sa\u011flar. Bir pilot uygulamadan tam \u00f6l\u00e7ekli \u00fcretim operasyonlar\u0131na ge\u00e7iyor olabilirsiniz veya farkl\u0131 bir k\u0131taya ta\u015f\u0131n\u0131yor olabilirsiniz. 7\/24 h\u0131zl\u0131 yan\u0131t\u0131m\u0131z ve k\u00fcresel da\u011f\u0131t\u0131m\u0131m\u0131z, eksik bir $50 sens\u00f6r\u00fcn\u00fcn $50M \u00fcretim hatt\u0131n\u0131 asla durdurmayaca\u011f\u0131 anlam\u0131na gelir.<\/li>\n<\/ul>\n\n\n\n<p>OMCH'yi se\u00e7erek sadece bile\u015fen sat\u0131n almazs\u0131n\u0131z; ayn\u0131 zamanda <strong>ger\u00e7ek zamanl\u0131<\/strong> veri b\u00fct\u00fcnl\u00fc\u011f\u00fc ve donan\u0131m g\u00fcvenilirli\u011fi sayesinde d\u00fcnyan\u0131n en ba\u015far\u0131l\u0131 <strong>akilli \u00fcreti\u0307m teknoloji\u0307leri\u0307<\/strong> M\u00fcmk\u00fcn.<\/p>\n\n\n\n<p><strong>Ak\u0131ll\u0131 Fabrikan\u0131z\u0131 \u00d6l\u00e7eklendirmeye Haz\u0131r m\u0131s\u0131n\u0131z?<\/strong> T\u00fcm \u00fcr\u00fcn yelpazesini ke\u015ffedin <strong>OMCH end\u00fcstriyel sens\u00f6rler<\/strong> ve elektrik bile\u015fenlerini kullanarak veri odakl\u0131 temelinizi olu\u015fturun. <strong><a href=\"https:\/\/www.omch.com\/tr\/\">[3.000+ SKU Katalo\u011fumuza G\u00f6z At\u0131n]<\/a><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Stratejik Yol Haritas\u0131: Pilottan Tam \u00dcretime \u00d6l\u00e7eklendirme<\/h2>\n\n\n\n<p>Bir\u00e7ok \u015firket kendini, bir \u015firketin bir dizi ba\u015far\u0131l\u0131 test ger\u00e7ekle\u015ftirdi\u011fi ancak bunlar\u0131 kurum genelinde \u00f6l\u00e7eklendiremedi\u011fi bir durum olan \u201cPilot Araf\u0131 \u201dnda bulur. Bundan ka\u00e7\u0131nmak i\u00e7in bu d\u00f6rt ad\u0131ml\u0131 yol haritas\u0131n\u0131 izleyin:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Sorunla Ba\u015flay\u0131n, Teknikle De\u011fil:<\/strong> Yapay zekay\u0131 moda oldu\u011fu i\u00e7in uygulamay\u0131n. \u0130\u015f\u00e7ilik maliyetleriniz \u00e7ok y\u00fcksek veya \u00fcretim s\u00fcre\u00e7leriniz verimsiz oldu\u011fu i\u00e7in uygulay\u0131n. \u00d6nce i\u015f de\u011ferini tan\u0131mlay\u0131n.<\/li>\n\n\n\n<li><strong>Veri Protokollerini Standartla\u015ft\u0131r\u0131n:<\/strong> T\u00fcm makinelerin ayn\u0131 dili konu\u015fabildi\u011finden emin olun. Veri silolar\u0131 b\u00fcy\u00fck veri analiti\u011finin d\u00fc\u015fman\u0131d\u0131r.<\/li>\n\n\n\n<li><strong>De\u011fi\u015fim Y\u00f6netimine Yat\u0131r\u0131m Yap\u0131n:<\/strong> Ak\u0131ll\u0131 \u00fcretim k\u00fclt\u00fcrel bir de\u011fi\u015fimdir. \u00c7al\u0131\u015fanlar\u0131n\u0131z\u0131 \u00fcretim verilerini nas\u0131l kullanacaklar\u0131 ve robotlarla nas\u0131l birlikte \u00e7al\u0131\u015facaklar\u0131 konusunda e\u011fitin. Teknolojik a\u00e7\u0131dan ilerici bir fabrika, veri konusunda bilgili bir i\u015fg\u00fcc\u00fcne ihtiya\u00e7 duyar.<\/li>\n\n\n\n<li><strong>Yinelemeli \u00d6l\u00e7eklendirme:<\/strong> Bir \u00fcretim h\u00fccresi ile ba\u015flay\u0131n. Optimize edin. Ard\u0131ndan t\u00fcm hatta, \u00fcretim tesisine ve son olarak da k\u00fcresel tedarik zincirine geni\u015fletin.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">2026'da \u0130zlenmesi Gereken Ak\u0131ll\u0131 \u00dcretim Trendleri<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples3.webp\" alt=\"akilli \u00fcreti\u0307m \u00f6rnekleri\u0307\" class=\"wp-image-9714\" srcset=\"https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples3.webp 1024w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples3-300x225.webp 300w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples3-768x576.webp 768w, https:\/\/www.omch.com\/wp-content\/uploads\/2026\/01\/smart-manufacturing-examples3-16x12.webp 16w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Teknoloji de 2026'ya do\u011fru ilerlerken daha da geli\u015fiyor:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u00dcretken Yapay Zeka<\/strong><strong> Fabrika Orkestrasyonu i\u00e7in:<\/strong> PLC kodu yazabilen veya do\u011fal dil komutlar\u0131na dayal\u0131 olarak \u00fcretim s\u00fcre\u00e7lerini dinamik olarak yeniden planlayabilen B\u00fcy\u00fck Dil Modelleri (LLM'ler) arac\u0131l\u0131\u011f\u0131yla yapay zekan\u0131n y\u00fckseli\u015fine tan\u0131k oluyoruz. Bu, karma\u015f\u0131k \u00fcretim sistemlerini y\u00f6netmek i\u00e7in giri\u015f engelini azalt\u0131yor.<\/li>\n\n\n\n<li><strong>S\u00fcrd\u00fcr\u00fclebilir ve D\u00f6ng\u00fcsel \u00dcretim:<\/strong> S\u0131k\u0131la\u015fan k\u00fcresel \u00c7SY d\u00fczenlemeleri nedeniyle, ak\u0131ll\u0131 sistemlere \u00fcretilen her bir par\u00e7an\u0131n karbon ayak izini izleme sorumlulu\u011fu veriliyor.<\/li>\n\n\n\n<li><strong>End\u00fcstriyel <\/strong><strong>Metaverse<\/strong><strong>:<\/strong> M\u00fchendislerin robotik bir kolda sorun giderebildi\u011fi s\u00fcr\u00fckleyici uzaktan i\u015fbirli\u011fi i\u00e7in sanal ger\u00e7eklik kullan\u0131m\u0131 <strong>ger\u00e7ek zaman<\/strong> d\u00fcnyan\u0131n d\u00f6rt bir yan\u0131ndan.<\/li>\n\n\n\n<li><strong>\u0130nsan Merkezli Tasar\u0131m (End\u00fcstri 5.0):<\/strong> Geli\u015fmi\u015f teknolojilerin insan refah\u0131n\u0131 art\u0131rmas\u0131n\u0131 ve \u00e7al\u0131\u015fanlar \u00fczerindeki bili\u015fsel y\u00fck\u00fc azaltmas\u0131n\u0131 sa\u011flamaya y\u00f6nelik bir de\u011fi\u015fim.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Gelece\u011fe Haz\u0131r Ak\u0131ll\u0131 Fabrika Stratejinizi Olu\u015fturun<\/h2>\n\n\n\n<p>Ak\u0131ll\u0131 \u00fcretim bir hedef de\u011fil, bir s\u00fcre\u00e7tir. Yukar\u0131daki \u00f6rnekler teknolojilerin \u00e7e\u015fitlilik g\u00f6sterdi\u011fini ancak hedefin benzer oldu\u011funu ortaya koymaktad\u0131r: \u00e7eviklik, verimlilik ve zeka.<\/p>\n\n\n\n<p>Gelece\u011fe haz\u0131r stratejinizi olu\u015fturmaya ba\u015flamak i\u00e7in, mevcut durumunuzu de\u011ferlendirmek \u00fczere bir Dijital Olgunluk Denetimi ger\u00e7ekle\u015ftirerek i\u015fe ba\u015flay\u0131n <strong>\u00fcreti\u0307m operasyonlari<\/strong>. A\u015fa\u011f\u0131daki gibi g\u00fcvenilir ortaklar se\u00e7in <strong>OMCH<\/strong> Sizinle birlikte b\u00fcy\u00fcyecek \u00f6l\u00e7ek ve g\u00fcvenilirli\u011fi sunan <strong>\u00fcreti\u0307m si\u0307stemleri\u0307<\/strong>. Son olarak, bak\u0131m ekiplerinizin becerilerini yar\u0131n\u0131n veri a\u011f\u0131rl\u0131kl\u0131 ortam\u0131 i\u00e7in geli\u015ftirerek yeteneklere odaklan\u0131n.<\/p>\n\n\n\n<p>Ak\u0131ll\u0131 \u00fcretim rekabet avantaj\u0131 penceresi daral\u0131yor. 2026'da ve sonras\u0131nda end\u00fcstriyel d\u00fcnyan\u0131n liderleri olacak olanlar, g\u00f6zlem tutumlar\u0131n\u0131 bug\u00fcnden eyleme d\u00f6n\u00fc\u015ft\u00fcrecek olanlar olacakt\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"<p>D\u00fcnya imalat sekt\u00f6r\u00fc \u015fu anda d\u00f6rd\u00fcnc\u00fc sanayi devriminin getirdi\u011fi sismik bir de\u011fi\u015fimden ge\u00e7iyor. Kat\u0131, silo operasyonlar\u0131yla karakterize edilen geleneksel \u00fcretimden, Ak\u0131ll\u0131 \u00dcretim olarak bilinen son derece esnek, veri odakl\u0131 bir ekosisteme do\u011fru ilerliyoruz. Bu dijital d\u00f6n\u00fc\u015f\u00fcm sadece insan eme\u011fini robotlarla ikame etmekle ilgili de\u011fil; daha \u00f6nce hi\u00e7 g\u00f6r\u00fclmemi\u015f bir de\u011fer \u00fcretmek i\u00e7in dijital teknolojileri benimseyerek fiziksel donan\u0131m ve dijital zekan\u0131n sorunsuz bir \u015fekilde koordine edilmesiyle ilgili.<\/p>","protected":false},"author":4,"featured_media":9711,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"none","_seopress_titles_title":"Explore 12 Smart Manufacturing Examples for Insights","_seopress_titles_desc":"Discover 12 smart manufacturing examples that showcase proven use cases and effective implementation strategies. Explore the future of manufacturing on our blog!","_seopress_robots_index":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-9716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/posts\/9716","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/comments?post=9716"}],"version-history":[{"count":2,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/posts\/9716\/revisions"}],"predecessor-version":[{"id":9721,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/posts\/9716\/revisions\/9721"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/media\/9711"}],"wp:attachment":[{"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/media?parent=9716"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/categories?post=9716"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.omch.com\/tr\/wp-json\/wp\/v2\/tags?post=9716"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}