{"id":130913,"date":"2021-03-09T14:43:35","date_gmt":"2021-03-09T11:43:35","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=130913"},"modified":"2021-03-09T14:44:20","modified_gmt":"2021-03-09T11:44:20","slug":"yapay-zeka-sistemi-dunya-capindaki-bosch-fabrikalarinda-kullanilacak","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/yapay-zeka-sistemi-dunya-capindaki-bosch-fabrikalarinda-kullanilacak\/","title":{"rendered":"(Turkish) ’Yapay Zeka Sistemi’ D\u00fcnya \u00c7ap\u0131ndaki ‘Bosch Fabrikalar\u0131’nda Kullan\u0131lacak"},"content":{"rendered":"

Sorry, this entry is only available in Turkish<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>

<\/p>\n

Normal bir g\u00f6z veya kulaktan daha hassas ve normal bir zihinden daha h\u0131zl\u0131 olan yapay zek\u00e2; terabaytlarca veriyi saniye i\u00e7inde i\u015fleyerek, insanlar\u0131n karma\u015f\u0131k \u00fcretim sorunlar\u0131n\u0131 \u00e7\u00f6zmesine yard\u0131mc\u0131 oluyor. Bosch Yapay Zek\u00e2 Merkezi (BCAI), \u00fcretim s\u00fcrecindeki anormallikleri ve ar\u0131zalar\u0131 erken a\u015famada tespit eden, reddedilen par\u00e7alar\u0131 g\u00fcvenilir bir \u015fekilde azaltan ve \u00fcr\u00fcn kalitesini iyile\u015ftiren yapay zek\u00e2 tabanl\u0131 bir sistem geli\u015ftirdi.<\/h1>\n

Bosch’un \u2018AI CON\u2019 adl\u0131 dijital yapay zek\u00e2 konferans\u0131nda konu\u015fan Bosch Kurumsal Teknoloji Direkt\u00f6r\u00fc<\/em> Dr. Michael Bolle<\/strong>, \u201cYapay zek\u00e2 kullan\u0131m\u0131 fabrikalar\u0131 daha verimli<\/strong>, daha \u00fcretken,<\/strong> daha \u00e7evre dostu<\/strong> hale getirecek ve \u00fcr\u00fcnlerimizi iyile\u015ftirecek. Yeni yapay zek\u00e2 sistemi<\/strong> \u00e7\u00f6z\u00fcm\u00fcm\u00fcz, fabrikalar\u0131 b\u00fcy\u00fck maliyetten kurtaracak\u201d<\/em> dedi.<\/p>\n

\"\"Yapay zek\u00e2 \u00e7\u00f6z\u00fcm\u00fcn\u00fcn h\u00e2lihaz\u0131rda kullan\u0131mda oldu\u011fu pilot tesisler, y\u0131lda 1-2 milyon Euro<\/strong> aras\u0131nda tasarruf sa\u011fl\u0131yor. \u00d6rne\u011fin;<\/span> Hildesheim’daki \u00fcretim tesisi, yapay zek\u00e2 yard\u0131m\u0131yla<\/strong> s\u00fcre\u00e7 ak\u0131\u015flar\u0131ndaki kesintileri tespit ederek ortadan kald\u0131rd\u0131. Sonu\u00e7 olarak, \u00fcretim hatlar\u0131n\u0131n d\u00f6ng\u00fc s\u00fcreleri % 15<\/strong> oran\u0131nda azald\u0131. \u00c7al\u0131\u015fmalar, yapay zek\u00e2 sisteminin<\/strong> etkinli\u011fini kan\u0131tlad\u0131. \u00d6zellikle End\u00fcstri 4.0 giri\u015fimleri<\/strong>, Almanya’daki yayg\u0131n yapay zek\u00e2 sistemi kullan\u0131m\u0131<\/strong>ndan b\u00fcy\u00fck fayda sa\u011flayacak. \u00c7e\u015fitli sekt\u00f6rlere yay\u0131ld\u0131\u011f\u0131nda, en b\u00fcy\u00fck maliyet tasarrufu potansiyelinin, % 50<\/strong>‘den fazla oranla (182 milyar Euro\u2019luk potansiyel) yapay zek\u00e2 destekli \u00fcretimde<\/strong> bulundu\u011fu belirtiliyor (Kaynak: eco – Association of the Internet Industry ve Arthur D. Little, 2019).<\/p>\n

Yapay zek\u00e2 \u00e7\u00f6z\u00fcm\u00fc, 2021 y\u0131l\u0131nda Bosch\u2019un d\u00fcnya \u00e7ap\u0131nda 50 g\u00fc\u00e7 aktarma sistemleri<\/strong> fabrikas\u0131nda kullan\u0131lacak ve 800’den fazla<\/strong> \u00fcretim hatt\u0131na ba\u011flanacak. Kurulacak yapay zek\u00e2 analiz platformu<\/strong>nda her g\u00fcn bir milyardan fazla veri mesaj\u0131 depolanacak. Bosch, yapay zek\u00e2 sistem \u00e7\u00f6z\u00fcmlerini, ileride yakla\u015f\u0131k 240 tesisine<\/strong> yaymay\u0131 planl\u0131yor. \u015eirket, ayr\u0131ca edindi\u011fi deneyim<\/strong> ve teknolojik bilgi<\/strong> birikimini de yeni yapay zek\u00e2 teknolojilerinin \u00fcretimi<\/strong> i\u00e7in kullanacak.<\/p>\n

Bosch yapay zek\u00e2 sistemleri, \u00fcretimi ve \u00fcr\u00fcn\u00fc iyile<\/strong>\u015f<\/strong>tiriyor<\/strong><\/h2>\n

Yeni yapay zek\u00e2 analiz platformunun pilot kullan\u0131c\u0131s\u0131, Bosch’un Mobilite \u00c7\u00f6z\u00fcmleri<\/strong> i\u015f kolu oldu. \u00d6n\u00fcm\u00fczdeki birka\u00e7 y\u0131l i\u00e7inde Bosch, tesislerine dijitalle\u015fme<\/strong> ve online ba\u011flant\u0131 altyap\u0131s\u0131 sa\u011flamak<\/strong> i\u00e7in yakla\u015f\u0131k 500 milyon Euro<\/strong> yat\u0131r\u0131m yapacak. Bu yat\u0131r\u0131m kar\u015f\u0131l\u0131\u011f\u0131nda, beklenen tasarruf, 2025 y\u0131l\u0131na kadar 2 kat<\/strong> artarak bir milyar Euro\u2019ya<\/strong> eri\u015fecek.<\/p>\n

Yapay zek\u00e2 kullan\u0131m\u0131<\/strong>, projenin vazge\u00e7ilmez bir par\u00e7as\u0131. Bosch Yapay Zek\u00e2 Merkezi (BCAI)<\/strong> ve b\u00f6l\u00fcm\u00fcn tesisleri aras\u0131ndaki i\u015f birli\u011fi, \u00e7e\u015fitli kaynaklardan gelen verileri neredeyse ger\u00e7ek zamanl\u0131 olarak toplamak, i\u015flemek ve analiz etmek i\u00e7in Bosch Connected Industry’nin Nexeed Fabrika Y\u00f6netim Sistemi\u2019ni (Manufacturing Execution System-MES) kulland\u0131 ve evrensel bir yapay zek\u00e2 \u00e7\u00f6z\u00fcm\u00fc<\/strong> ortaya \u00e7\u0131kard\u0131.<\/p>\n

Makinelerden gelen sens\u00f6r verileri, farkl\u0131 \u00fcretim s\u00fcre\u00e7lerindeki dalgalanmalar\u0131 belirlemek i\u00e7in temel olu\u015fturacak. End\u00fcstri 4.0<\/strong> yaz\u0131l\u0131m\u0131 Nexeed<\/strong>, verileri ve kodlar\u0131 \u00e7evirip g\u00f6rselle\u015ftirerek yapay zek\u00e2 sistemini y\u00f6nlendiriyor<\/strong>. S\u00fcre\u00e7, yapay zek\u00e2 analizine g\u00f6re uyarlanm\u0131\u015f g\u00f6sterge tablolar\u0131 taraf\u0131ndan destekleniyor ve hatalar\u0131 bulmay\u0131 kolayla\u015ft\u0131r\u0131yor.<\/p>\n

S\u00fcre\u00e7, makineler <\/strong>ve montaj hatlar\u0131<\/strong> i\u00e7in kendi kendini uyarlayan yap\u0131da da kurgulanabiliyor. \u00d6rne\u011fin, \u00fcretim hatt\u0131 boyunca, bir matkap deli\u011fi tan\u0131mlanan yerinden saparsa yapay zek\u00e2 sistemi<\/strong> s\u00fcreci d\u00fczeltmek i\u00e7in gerekli ad\u0131mlar\u0131 ba\u011f\u0131ms\u0131z olarak ba\u015flat\u0131yor. Sistem, \u00fcretim hatlar\u0131 boyunca konumland\u0131r\u0131lan ve \u00fcretim s\u00fcrecini kaydeden kameralardan da destek al\u0131yor. \u00d6\u011frendi\u011fi g\u00f6r\u00fcnt\u00fcler temelinde sapmalar\u0131 tespit ederek hemen harekete ge\u00e7ebiliyor. Saha<\/strong> ve m\u00fc\u015fteri verileri<\/strong> de platforma d\u00e2hil edilebiliyor. Bu \u00f6zellik, sistemin \u00fcr\u00fcnlerin sahada nas\u0131l performans g\u00f6sterdi\u011fini<\/strong> daha iyi anlamas\u0131na yard\u0131mc\u0131 olarak, kusurlar\u0131 zaman\u0131nda tespit etmesini<\/strong> ve yakla\u015fan ar\u0131zalar\u0131<\/strong> tahmin etmesini sa\u011fl\u0131yor.<\/p>\n

Bosch, \u00fcretim potansiyelini ortaya \u00e7<\/strong>\u0131<\/strong>karmak i\u00e7in yapay zek\u00e2y<\/strong>\u0131<\/strong> kullan<\/strong>\u0131<\/strong>yor<\/strong><\/h2>\n

\u0130malat sanayi<\/strong>, yapay zek\u00e2 kullan\u0131m\u0131<\/strong> konusunu teoride kavram\u0131\u015f olsa da pratikte hala geride kal\u0131yor: T\u00fcm Alman \u015firketlerinin yar\u0131s\u0131ndan fazlas\u0131 (y\u00fczde 58) yapay zek\u00e2y\u0131 y\u0131k\u0131c\u0131<\/strong> bir potansiyel olarak g\u00f6r\u00fcyor. Ancak 7 ki\u015fiden biri (y\u00fczde 14) \u015fu anda i\u015f ak\u0131\u015f\u0131nda yapay zek\u00e2 sistemleri<\/strong> kullan\u0131yor. Almanlar\u0131n net bir \u00e7o\u011funlu\u011fu ise (y\u00fczde 60), yapay zek\u00e2n\u0131n end\u00fcstride<\/strong>, otomobil yap\u0131m\u0131<\/strong> veya u\u00e7ak yap\u0131m\u0131<\/strong> gibi sekt\u00f6rlerde daha fazla kullan\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6rmek istiyor.<\/p>\n

Bu veriler, Bosch AI Future Compass ara\u015ft\u0131rmalar\u0131<\/strong>n\u0131n temel bulgular\u0131 olarak kar\u015f\u0131m\u0131za \u00e7\u0131k\u0131yor. Kas\u0131m 2020’de tamamlanan \u00e7al\u0131\u015fma, kat\u0131l\u0131mc\u0131lar\u0131n \u00fc\u00e7te ikisinden fazlas\u0131n\u0131n<\/strong> makine ar\u0131zalar\u0131n\u0131n te\u015fhisinde ve di\u011fer alanlarda yapay zek\u00e2n\u0131n kullan\u0131lmas\u0131n\u0131 memnuniyetle<\/strong> kar\u015f\u0131layaca\u011f\u0131n\u0131 g\u00f6sterdi.<\/p>\n

Bosch, yapay zek\u00e2 s\u00fcre\u00e7lerine<\/strong> \u015fimdiden destek veriyor. \u015eirket, \u00fcretim sistemlerinde yapay zek\u00e2 destekli makine<\/strong> ve sistemlerin kullan\u0131m\u0131n\u0131<\/strong> peki\u015ftiriyor ve \u00fcretim s\u00fcre\u00e7lerini optimize<\/strong> ediyor. Bosch CDO\/CTO\u2019su Dr. Michael Bolle<\/strong>, \u201cYapay zek\u00e2, matbaan\u0131n icad\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131labilir b\u00fcy\u00fckl\u00fckte \u00e7\u0131\u011f\u0131r a\u00e7an bir teknoloji. \u00dcretimde devrim yaratacak. Yapay zek\u00e2n\u0131n yard\u0131m\u0131yla makineler<\/strong> ve \u00fcr\u00fcnler nas\u0131l ak\u0131ll\u0131 olunaca\u011f\u0131n\u0131<\/strong> ve tahmin yapmay\u0131 \u00f6\u011frenecek\u201d<\/em> diyerek s\u00fcreci \u00f6zetledi.<\/p>\n

Bosch, kendi tesislerindeki projelere ek olarak, yapay zek\u00e2 tabanl\u0131 \u00e7\u00f6z\u00fcmleri<\/strong> de piyasaya s\u00fcr\u00fcyor. \u00dcretimdeki uygulamalar aras\u0131nda i\u015f par\u00e7alar\u0131n\u0131n otomatik g\u00f6rsel denetimi, ak\u0131ll\u0131 \u00fcretim y\u00f6netimi<\/strong> i\u00e7in yaz\u0131l\u0131m<\/strong> ve geli\u015fmi\u015f enerji y\u00f6netim sistemleri<\/strong> yer al\u0131yor. Bosch, bu y\u0131l 12-16 Nisan 2021<\/strong> tarihlerinde \u00e7evrimi\u00e7i<\/strong> olarak d\u00fczenlenecek Hannover Messe 2021 Fuar\u0131<\/strong>\u2019nda \u00fcretime y\u00f6nelik yapay zek\u00e2 \u00e7\u00f6z\u00fcmlerini de tan\u0131tacak.<\/p>\n

Bosch, kurumsal stratejisinde yapay zek\u00e2y<\/strong>\u0131<\/strong> destekliyor<\/strong><\/h2>\n

Bosch, yapay zek\u00e2y\u0131 temel bir teknoloji<\/strong> olarak g\u00f6r\u00fcyor. \u015eirketin hedefi, 2025 itibar\u0131yla t\u00fcm Bosch \u00fcr\u00fcnlerinin yapay zek\u00e2 i\u00e7ermesi<\/strong> veya bu y\u00f6ntem deste\u011fiyle geli\u015ftirilmi\u015f<\/strong> veya \u00fcretilmi\u015f<\/strong> olmas\u0131. Bu ama\u00e7la, \u015firket parlak beyinlere, uygun altyap\u0131ya ve uygun ko\u015fullara yat\u0131r\u0131m yap\u0131yor. Bosch, 20.000 \u00e7al\u0131\u015fan\u0131n\u0131 2022 y\u0131l\u0131n\u0131n sonuna kadar yapay zek\u00e2 konusunda e\u011fitmeyi<\/strong> hedefliyor. Bu s\u00fcre\u00e7teki temel unsurlardan biri, Bosch yapay zek\u00e2 ara\u015ft\u0131rma<\/strong> ve geli\u015ftirme merkezi BCAI. Merkez, kurulduktan sadece 3 y\u0131l<\/strong> sonra ilk yat\u0131r\u0131m\u0131n\u0131 amorti<\/strong> etmi\u015fti. Merkezin ciroya katk\u0131s\u0131 \u015fu anda yakla\u015f\u0131k y\u0131ll\u0131k 300 milyon Euro<\/strong> d\u00fczeyinde.<\/p>\n

Bosch\u2019un hedefi<\/strong><\/h2>\n

Bosch CDO ve CTO\u2019su Dr. Michael Bolle<\/strong>, \u201cG\u00fcvenli, sa\u011flam ve a\u00e7\u0131klanabilir bir yapay zek\u00e2 sistemi<\/strong> i\u00e7in \u00e7al\u0131\u015f\u0131yoruz\u201d dedi. \u015eirket, \u00f6ncelikle yapay zek\u00e2<\/strong> ve fiziksel<\/strong> d\u00fcnya aras\u0131ndaki ba\u011flant\u0131 sa\u011flayan \u2018end\u00fcstriyel yapay zek\u00e2\u2019<\/strong> uygulamalar\u0131yla ilgileniyor. Bosch’un bu alanda \u00f6nemli beklentileri oldu\u011funu vurgulayan Dr. Bolle, \u00e7al\u0131\u015fmalar\u0131n\u0131 \u201cFabrikalar\u0131m\u0131z, buzdolaplar\u0131<\/strong> ve elektrikli aletlerden otomotiv end\u00fcstrisi<\/strong> i\u00e7in g\u00fc\u00e7 aktarma<\/strong> ve destek sistemlerine<\/strong> ve otomasyon teknolojisine<\/strong> kadar \u00e7ok \u00e7e\u015fitli \u00fcr\u00fcnler \u00fcretiyor. \u015eimdi bu uzmanl\u0131\u011f\u0131n \u00fczerine yapay zek\u00e2 algoritmalar\u0131<\/strong> ekleyerek gelece\u011fi yarat\u0131yoruz\u201d<\/em> diye anlatt\u0131.<\/p>","protected":false},"excerpt":{"rendered":"

Sorry, this entry is only available in Turkish. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Normal bir g\u00f6z veya kulaktan daha hassas ve normal bir zihinden daha h\u0131zl\u0131 olan yapay zek\u00e2; terabaytlarca veriyi saniye i\u00e7inde i\u015fleyerek, insanlar\u0131n […]<\/p>\n","protected":false},"author":1,"featured_media":130915,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[51,53,52,157],"tags":[87747,87751,52259,57125,87750,87749,67005,36111,87748],"views":141,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/130913"}],"collection":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=130913"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/130913\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/130915"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=130913"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=130913"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=130913"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}