Open AccessCalculation and Analysis of Overall Equipment Effektiveness (OEE) Method and Six Big Losses toward the Production of Corter Manchines in Oni Jaya Motor
Author(s) -
Widy Setyawan,
Akhmad Sutoni,
Taufik Munandar,
- Mujiarto
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1764/1/012162
Subject(s) - overall equipment effectiveness , spare part , production (economics) , productivity , reliability (semiconductor) , quality (philosophy) , reliability engineering , total productive maintenance , computer science , process (computing) , manufacturing engineering , operations management , automotive engineering , engineering , power (physics) , physics , philosophy , epistemology , quantum mechanics , economics , macroeconomics , operating system
One of the factors that influence the smoothness in the Production Process is the condition of the equipment or machine. Frequent jams or even the engine may stop suddenly making the readiness and reliability of the machine is not optimal, causing production losses and quality degradation. For this reason, engine maintenance becomes a very important thing to consider in order to maintain the ongoing level of productivity. Oni Jaya Motor is a company engaged in manufacturing that produces motorcycle spare parts. This company is inseparable from problems related to the effectiveness of equipment or machinery. One of the causes of disruption to the production process is due to the lack of maintenance management on the machine. To overcome this, one of the methods used to measure engine effectiveness is the Overall Equipment Effectiveness (OEE) method. Where is known the value of OEE can provide information in evaluating maintenance activities so as to minimize the occurrence of lost production and decreased quality. The results of calculations with the OEE method on Oni Jaya motorcycles are carried out on the Corter Machine and take place from January 2018 to December 2018 with the highest OEE value of 81.0%, while the lowest OEE value of 77.1%. Based on the results of data processing and identification of the six big losses, the most influential losses on the machine are set up and adjustment of 29.8%, Reduced Speed Loss of 25.6% and Breakdown Loss of 21.3%.