View Article |
Lean six sigma framework to improve the assembly process at a printer manufacturing company
R.Abdullah1, H.K. Lee2, A.H. Abdul Rasib3, H.O. Mansoor4.
The printer manufacturing company under study was looking for ways to continuously improve the manufacturing process transparency, compliance and control to manage process variations and waste elimination. This study aims to apply Six Sigma framework to aid in the defect reduction at a printer manufacturing company specifically the molding process. The systematic Six Sigma Define, Measure, Improve, Analyse , and Control (DMAIC) framework was used as a powerful diagnostic tool that has been proven to improve processes by reducing or eliminating the process variations. The technique used together with the Lean Kaizen tool has enabled the possibility of identifying the defect waste occurrences prior to focusing on the root cause of the problems and eliminating them. Five proposals for improvements were identified and a control plan was devised for the management to carry out in order to achieve a more robust and leaner manufacturing. As a result, a 25% reduction in defect rates were observed with the mold process now able to meet the customer specification with process value increased from 0.59 to 1.15. Thus, the designed Lean Six Sigma framework is proven to be successfully applied in the assembly line of the printer manufacturing company.
Affiliation:
- Universiti Teknikal Malaysia Melaka, Malaysia
- Universiti Teknikal Malaysia Melaka, Malaysia
- Universiti Teknikal Malaysia Melaka, Malaysia
- University of Fallujah, , Iraq
Download this article (This article has been downloaded 18 time(s))
|
|
Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
|
2 |
Immediacy Index
|
0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
|
CiteScore (0.7) |
Rank |
Q4 (Industrial and Manufacturing Engineering)) Q4 (Management of Technology and Innovation) Q4 (Automotive Engineering) Q4 (Control and Optimization) Q4 (Computer Networks and Communications) Q4 (Software) Q4 (Hardware and Architecture) |
Additional Information |
SJR (0.221) |
|
|
|