Improvisation of non-conformance management in a small aerospace manufacturing industry
This study is specifically concerned on the improvisation of non-conformance management process in a small aerospace manufacturing industry. Robust actions on root cause analysis and corrective actions (RCCA) is vital to achieve good yield and sustain the business. Hence, in the present study, the...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Zibeline International Publishing
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/80212/1/Improvisation%20of%20non-conformance%20management%20in%20a%20small%20aerospace%20manufacturing%20industry.pdf http://psasir.upm.edu.my/id/eprint/80212/ |
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Summary: | This study is specifically concerned on the improvisation of non-conformance management process in a small
aerospace manufacturing industry. Robust actions on root cause analysis and corrective actions (RCCA) is vital to
achieve good yield and sustain the business. Hence, in the present study, the key objective is to identify the wastes in
the non-conformance process flow and improvise the overall non-conformance management process. There were
three specific objectives determined in order to achieve the main objective. Firstly, a model database was established
to capture all the data and linked to populate graphs and charts for analysis purpose. Some of the significant QC tools
were implemented as part of the enhancement process. The second objective is to improvise and integrate robust root
cause analysis method using the 5-Why tool and Fishbone Diagram tool. Finally, the third objective is to improve the
effectiveness of corrective action monitoring and verification of the process. The results from these improvisations
were analysed in terms of the overall reject rate, repetition of defects, parts per million and finally the effectiveness of
the corrective action. The improvements resulted in a reduction of scrap rate from 0.8% to 0.6% which eventually met the company’s objective. Significant changes were observed from the variations implemented that would benefit small scale companies in the future. |
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