PENINGKATAN PRODUKTIVITAS DAN KUALITAS PADA PERUSAHAAN KOMPONEN ELEKTRONIK SAAT PANDEMI COVID 19 DENGAN MERANCANG DAN MENERAPKAN MACHINE VISION

HERLAMBANG, HENDI (2021) PENINGKATAN PRODUKTIVITAS DAN KUALITAS PADA PERUSAHAAN KOMPONEN ELEKTRONIK SAAT PANDEMI COVID 19 DENGAN MERANCANG DAN MENERAPKAN MACHINE VISION. S2 thesis, Universitas Mercu Buana Jakarta.

Preview	Text (HAL COVER) 01 COVER.pdf Download (496kB) | Preview
	Text (BAB I) BAB 1.pdf Restricted to Registered users only Download (488kB)
	Text (BAB II) BAB 2.pdf Restricted to Registered users only Download (480kB)
	Text (BAB III) BAB 3.pdf Restricted to Registered users only Download (813kB)
	Text (BAB IV) BAB 4.pdf Restricted to Registered users only Download (1MB)
	Text (BAB V) BAB 5.pdf Restricted to Registered users only Download (377kB)
	Text (BAB VI) BAB 6.pdf Restricted to Registered users only Download (216kB)
	Text (DAFTAR PUSTAKA) DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (386kB)
	Text (LAMPIRAN) LAMPIRAN.pdf Restricted to Registered users only Download (1MB)

Abstract

Human involvement in the assembly part manufacturing process is still relatively high. However, automation solutions are not flexible enough to be applied to manufacturing systems. It is essential to evaluate each work activity so that automation can be implemented effectively. We developed an automatic vision inspection using machine vision. The level of automation (LoA) in the company increases, and the impact caused by process failures on manual systems can be eliminated during inspection activities. The automation level increase in the inspection area is described and analyzed using the Method Time Measurement (MTM). Inspection data process activity and quality data are collected to determine the CCD camera selection, lamp selection, and lens selection. Three quality objectives, such as geometric quality, surface quality, and structural quality, are identified automatically using machine vision. Furthermore, after applying machine vision, an analysis of current LoA conditions and future LoA conditions is carried out. The results showed that the application of machine vision could increase the Level of Automation in the product inspection activity by 81.8%. There is a strong correlation (R = 0.924) between manual measurements carried out by operators and machine vision. Keywords : Machine Vision, Image Procesing, Automation, Level of Automation (LoA), Method Time Measurement (MTM), Gage Study, Indonesia Keterlibatan manusia dalam proses pembuatan part assembly masih relatif tinggi. Namun, solusi otomasi tidak cukup fleksibel untuk diterapkan pada sistem manufaktur. Penting untuk mengevaluasi setiap aktivitas kerja sehingga otomatisasi dapat diterapkan secara efektif. Kami mengembangkan inspeksi visual otomatis menggunakan visi mesin. Tingkat otomatisasi (LoA) di perusahaan meningkat, dan dampak yang disebabkan oleh kegagalan proses pada sistem manual dapat dihilangkan selama kegiatan inspeksi. Peningkatan level otomatisasi di area inspeksi dijelaskan dan dianalisis menggunakan Method Time Measurement (MTM). Data aktivitas proses pemeriksaan dan data kualitas dikumpulkan untuk menentukan pemilihan kamera CCD, pemilihan lampu, dan pemilihan lensa. Tiga sasaran mutu, seperti kualitas geometris, kualitas permukaan, dan kualitas struktural, diidentifikasi secara otomatis menggunakan visi mesin. Selanjutnya, setelah menerapkan visi mesin, dilakukan analisis kondisi LoA saat ini dan kondisi LoA di masa mendatang. Hasil penelitian menunjukkan bahwa penerapan machine vision dapat meningkatkan Tingkat Otomasi pada kegiatan pemeriksaan produk sebesar 81,8%. Ada korelasi yang kuat (R = 0,924) antara pengukuran manual yang dilakukan oleh operator dan penglihatan mesin. Kata Kunci : Machine Vision, Image Procesing, Automation, Level of Automation (LoA), Method Time Measurement (MTM), Gage Study, Indonesia

Actions (login required)

View Item