Refurbishment Of Plating Machine Unloader 304 Stainless Steel Track By DMAIC Approach
This project focused on improving the performance of Meco electroplating machine. The project was done using six sigma DMAIC approach. Remarkably, the historical data on the six sigma DMAIC approach showed that the unload pusher error have significant contribution in affecting the machine stability...
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| 格式: | Thesis |
| 语言: | English English |
| 出版: |
2019
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| 在线阅读: | http://eprints.utem.edu.my/id/eprint/24951/1/Refurbishment%20Of%20Plating%20Machine%20Unloader%20304%20Stainless%20Steel%20Track%20By%20Dmaic%20Approach.pdf http://eprints.utem.edu.my/id/eprint/24951/2/Refurbishment%20Of%20Plating%20Machine%20Unloader%20304%20Stainless%20Steel%20Track%20By%20Dmaic%20Approach.pdf |
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| 总结: | This project focused on improving the performance of Meco electroplating machine. The project was done using six sigma DMAIC approach. Remarkably, the historical data on the six sigma DMAIC approach showed that the unload pusher error have significant contribution in affecting the machine stability performance. Through brainstorming and 5 why analysis, the real root cause of this issue were found to be due to high worn out rate of unloader track. Based the data collected for 2 weeks in production line, several severe worn out were observed. Therefore the improvement was done by focusing on refurbishing the original 304 stainless steel material that was originally used in fabricating the unloader track. There were two materials proposed in order to overcome this issue, the 439 stainless steel and powder metallurgy 39. Selection of these two material was done due to their high wear resistance ability. After finalizing, the prototype was completed and delivered with 1 month lead time. The two different material were then installed at two Meco electroplating machine while other parameter remains constant that are product type and pusher speed. Based on the worn out result obtained, both material showed significant improvement for 76% which is from 0.65mm worn out to 0.15mm within duration of four week. For future work, it is suggested the monitoring duration to extend from 12 weeks up to 26 weeks to have obtain maximum lifespan. This project also contribute significantly in improving the unscheduled downtime from 4.66 % to 1.77 % which is significant in improving OEE stability. |
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