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https://n.news.naver.com/article/421/0009049775
"삼성전자 제조라인 '4시간 무인 가동' 성공…24시간 완전자율공장 추진"
[NFIF2026] 황일권 삼성전자 스마트팩토리센터 센터장 발표
"30초 걸리던 검사, AI로 0.3초도 안 걸려…데이터 기반 혁신"
삼성전자 디바이스경험(DX) 부문은 일부 공장에서 1~4시간가량의 자율 운영과 관련한 개념검증(PoC)을 진행해 유의미한 결과를 얻었습니다.
황일권 삼성전자 스마트팩토리센터장은 9일 오전 서울 여의도 콘래드서울 파크볼룸에서 'AI 대전환(AX) 산업지도 바꾼다-성공 키워드'를 주제로 열린 2026 뉴스1 미래산업포럼(NFIF)에서 '2030 AI Driven Factory: 사람과 AI가 함께 만드는 자율 제조' 강연을 통해 이같이 말했다.
3단계 진화 시나리오 가동…현장 곳곳에서 '혁신' 증명
황 센터장에 따르면 삼성전자의 자율 제조 공장은 3단계 계획에 기반을 두고 추진되고 있다.
현장의 혁신 사례는 폭발적인 효율성을 보여주고 있다. 사람이 직접 눈으로 확인해 30초가 소요되던 표면 품질(SMD) 2차 시각 검사는 AI가 판정을 대신해 0.3초 미만으로 단축했다. 6개 법인의 TV 생산라인에선 화질과 외관 데이터를 AI가 분석해 조치하며 매주 112시간의 수작업 비효율을 덜어냈다.
위험하고 번거로운 공정도 대폭 개선했다. 냉장고 컴프레서 밀폐 검사의 경우 전통적인 수조 가압 방식을 벗어났다. 용접 시 발생하는 전류와 전압 신호를 3D 비전 AI가 실시간으로 분석하고 불량을 예측해 가스 누설 검출력을 30% 높였다.
- 후략 -
▶ 원문 출처: https://n.news.naver.com/article/421/0009049775
Karena ini adalah artikel domestik, harap periksa tautan untuk detail lengkapnya.
https://n.news.naver.com/article/421/0009049775
"Lini manufaktur Samsung Electronics berhasil 'operasi tanpa awak 4 jam'…mendorong pabrik otonom penuh 24 jam"
[NFIF2026] Pernyataan Kepala Pusat Smart Factory Samsung Electronics Hwang Il-kwon
"Inspeksi yang memakan waktu 30 detik, dengan AI kurang dari 0,3 detik…inovasi berbasis data"
Divisi Pengalaman Perangkat (DX) Samsung Electronics telah melakukan proof of concept (PoC) terkait operasi otonom sekitar 1-4 jam di beberapa pabrik dan mendapatkan hasil yang bermakna.
Hwang Il-kwon, Kepala Pusat Smart Factory Samsung Electronics, mengatakan hal ini melalui kuliah berjudul '2030 AI Driven Factory: Manufaktur Otonom yang Diciptakan oleh Manusia dan AI' di Forum Industri Masa Depan 2026 News1 (NFIF) yang diadakan pada pukul 9 pagi di Ballroom Park Conrad Seoul di Yeouido, Seoul, dengan tema 'Mengubah Peta Industri Transformasi AI (AX) - Kata Kunci Kesuksesan'.
Menjalankan skenario evolusi 3 tahap…membuktikan 'inovasi' di berbagai bidang
Menurut Kepala Pusat Hwang, pabrik manufaktur otonom Samsung Electronics sedang didorong berdasarkan rencana 3 tahap.
Studi kasus inovasi lapangan menunjukkan efisiensi yang luar biasa. Inspeksi visual sekunder kualitas permukaan (SMD), yang biasanya memakan waktu 30 detik untuk diverifikasi secara manual, telah dipangkas menjadi kurang dari 0,3 detik dengan AI mengambil alih keputusan. Di lini produksi TV 6 korporasi, AI menganalisis data kualitas gambar dan penampilan untuk mengambil tindakan, mengurangi inefisiensi pekerjaan manual sebanyak 112 jam per minggu.
Mereka juga secara signifikan meningkatkan proses yang berbahaya dan merepotkan. Untuk inspeksi penyegelan kompresor kulkas, mereka beralih dari metode tekanan tangki tradisional. AI visi 3D menganalisis sinyal arus dan tegangan yang dihasilkan selama pengelasan secara real-time dan memprediksi cacat, meningkatkan daya deteksi kebocoran gas sebesar 30%.
- Seterusnya -
▶ Sumber asli: https://n.news.naver.com/article/421/0009049775
This is a domestic article, please refer to the link for details.
https://n.news.naver.com/article/421/0009049775
"Samsung Electronics Manufacturing Line Succeeds in '4 Hours of Unmanned Operation'... Pushing for 24-Hour Fully Autonomous Factory"[NFIF2026] Hwang Il-kwon, Head of Samsung Electronics Smart Factory Center
"Inspection that took 30 seconds now takes less than 0.3 seconds with AI... Data-based innovation"
Samsung Electronics' Device Experience (DX) division has conducted a proof of concept (PoC) on autonomous operation for 1 to 4 hours in some factories and achieved meaningful results.
Hwang Il-kwon, head of Samsung Electronics Smart Factory Center, said this at the '2026 News1 Future Industry Forum (NFIF)' held on the morning of the 9th at the Conrad Seoul Park Ballroom in Yeouido, Seoul. The forum was themed "AI Transformation (AX) Changes Industrial Leadership - Success Keywords," and Hwang delivered a lecture titled "2030 AI Driven Factory: Autonomous Manufacturing Created by Humans and AI."
3-Stage Evolution Scenario Activated... Innovation Proven Throughout the Field
According to Hwang, Samsung Electronics' autonomous manufacturing factory is being promoted based on a 3-stage plan.
Field innovation cases are demonstrating explosive efficiency. Surface quality (SMD) secondary visual inspection, which previously took 30 seconds for humans to visually confirm, has been shortened to less than 0.3 seconds with AI judgment. In the TV production lines of six affiliates, AI analyzes image and appearance data and takes action, eliminating 112 hours of manual inefficiency per week.
Dangerous and cumbersome processes have also been significantly improved. For refrigerator compressor sealing tests, the traditional water pressure method has been abandoned. 3D vision AI analyzes current and voltage signals generated during welding in real time and predicts defects, increasing gas leak detection performance by 30%.
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▶ Original Source: https://n.news.naver.com/article/421/0009049775
