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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

A recommendation of breakdown maintenance on vehicle engine camshaft line using reliability centered maintenance and FMEA method Y. Advin Fajar Nugroho; Uly Amrina; Bonitasari Nurul Alfa
Operations Excellence: Journal of Applied Industrial Engineering VOL 12, NO 3, (2020): OE NOVEMBER 2020
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v12.i3.008

Abstract

A vehicle engine manufacturing company that implements Total Productive Maintenance (TPM) found many breakdowns in the camshaft line from January to May 2019. This study aims to reduce the engine camshaft line breakdown by improving preventive maintenance using the Reliability Centered Maintenance (RCM) method and Failure Mode and Effect Analysis (FMEA). The researchers mapped the breakdown time data per engine and found that the longest breakdown time was on the IGR-0040 engine with 22.23 hours. The current availability ratio of the IGR-0040 machine is 72.88%, and the reliability index is 55%. Furthermore, this research identified machine failure using FMEA and found that six machine components experienced the highest failure rate. The researchers proposed some improvement activities related to the maintenance interval rescheduling period that could increase by 61% reliability
Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory Qulub, Irkham Syifaul; Herlambang, Hendi; Amrina, Uly; Ikatrinasari, Zulfa Fitri
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 3 (2024): OE November 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i3.118

Abstract

This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.