Supramaniam, Anantharao (2014) Implementation of online monitoring system to determine overall equipment effectiveness. Masters thesis, Universiti Teknikal Malaysia Melaka.
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Abstract
Semiconductor manufacturing industries are faced with many challenges especially with more product complexity along with high expectation on quality with lower manufacturing cost. Engineers are working to improve the equipment's performances but always lack of efficient and accurate data to help them track the equipment performances. The OveralI Equipment Effectiveness (OEE) metric is a very powerful tool that can be used to measure productivity at equipment level. Previous research has shown that OEE along with accurate and consistent real time equipment state data can help to estimate the equipment's performances and productivity. An online monitoring system with real time data will help manufacturing system to be more productivity and also path to determine and improve overall equipment effectiveness. Online monitoring system also will allow factory professionals to analyze the equipment's performance by automatically and also to detect the bottleneck elements in the system. The objective of this project is to implement online monitoring system at auto printed circuit board assembly tools. The main aim of this project is to develop and implement online monitoring dashboard to deliver real time equipment's condition and performances to determine overall equipment efficiency. The result of this project shows that online monitoring system demonstrates huge benefits and met the entire objectives. This online monitoring system paves way for further research on continuous improvement on equipment performances and also productivity development.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Programmable controllers, Manufacturing processes, Automation |
| Subjects: | T Technology > TS Manufactures |
| Divisions: | Library > Tesis > FKP |
| Depositing User: | Norziyana Hanipah |
| Date Deposited: | 14 Jul 2015 06:24 |
| Last Modified: | 10 Nov 2022 11:54 |
| URI: | http://eprints.utem.edu.my/id/eprint/14746 |
| Statistic Details: | View Download Statistic |
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