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All Journal BULLET : Jurnal Multidisiplin Ilmu
Munir Fahmi, Mokhammad
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Pengukuran Kinerja Mesin Milling CNC Mazak Variaxis 630/120 T V-5 Menggunakan Metode OEE Untuk Reduce Six Big Losses Maksum Ardi, Hanni; Mulyadi, Yandi; Munir Fahmi, Mokhammad; Setiawan, Dibyo
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

Machine performance is a key factor in maintaining productivity and efficiency in various industrial processes. Machines must be kept to ensure efficiency and optimal production capabilities. Therefore, machine performance measurement must be carried out to obtain results that can further improve machine reliability. The research was conducted in the aerospace industry and focused on one of the Mazak Variaxis 630/120 T V-5 CNC Milling machines. This research uses the overall equipment effectiveness (OEE) method, this method is an effective tool for determining and measuring machine performance. The OEE value that has been obtained then analyzes the six big losses in order to determine the losses that have the most impact on causing losses to the machine. The research results show that the average OEE value of this machine in a span of 1 year is 85.83% and meets the JIPM standard. The 2 losses obtained are idling and minor stoppages loss of 14.93% and reduced speed loss of 7.45%. Based on the fishbone analysis, it was found that the machine is a factor that greatly influences idling and minor stoppage loss and the human factor for reduced speed loss.
Analisis Keandalan Mesin Milling CNC Menggunakan Metode Failure Mode and Effect Analysis Hardiyanti, Nina; Munir Fahmi, Mokhammad; Simanjuntak, Edward
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 2 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Machine reliability in production units is an important aspect in ensuring productivity and efficiency in various industrial sectors. The purpose of this study is to focus on improving reliability. The Failure Mode and Effect Analysis (FMEA) method is used to analyze as an effort to improve machine reliability. FMEA provides a comprehensive understanding of reliability improvement strategies by strengthening reliability prediction and preventive maintenance strategies. This method is also used to identify potential failures in the system, evaluate their impact, and design effective maintenance strategies. Results and Discussion showed that the Mazak Variaxis CNC milling machine had the highest percentage of problems, reaching 40% based on downtime and frequency of occurrence in the prismatic cell. Based on the FMEA analysis, the main failure mode was identified through the calculation of the Risk Priority Number (RPN) with the highest values ​​of 126 (rank 1), 120 (rank 2), and 105 (rank 3). RPN values ​​greater than 87.93 are categorized as critical failures. The ATC (Automatic Tool Changer) component occupies a crucial position with the highest percentage of component problem factors, reaching 129%. Conclusion: By using an empirical approach, the proposed implementation of actions as an effort to reduce the RPN number and increase machine reliability by prioritizing problems based on the RPN value scale, increasing the intensity of preventive maintenance scheduling and periodic replacements, and planning spare parts stock.
Co-Authors Hardiyanti, Nina Maksum Ardi, Hanni Mulyadi, Yandi setiawan, Dibyo Simanjuntak, Edward