Issue |
E3S Web Conf.
Volume 622, 2025
2nd International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2024)
|
|
---|---|---|
Article Number | 01017 | |
Number of page(s) | 8 | |
Section | Engineering and Technology | |
DOI | https://doi.org/10.1051/e3sconf/202562201017 | |
Published online | 04 April 2025 |
Enhancing Production Quality and Sustainability in Aluminum-Based MSMEs Through Defect Reduction Using Six Sigma Methodology
Faculty of Industrial Technology, Ahmad Dahlan University, Yogyakarta, Indonesia
* Corresponding author: muhammad.faishal@ie.uad.ac.id
AS Aluminum, a Micro, Small, and Medium Enterprise (MSME), specializes in producing various aluminum-based products such as thick and thin cake molds, including waffle, laker, pukis, and terang bulan molds. However, the production process is hampered by high defect rates, reaching 8.26% for thick molds and 8.52% for thin molds, based on data from November and December 2022, far exceeding the company’s target of a maximum 2% defect rate. This study aims to identify the root causes of these defects and propose effective solutions to reduce their occurrence. Using the Six Sigma methodology and the DMAIC (Define, Measure, Analyze, Improve, Control) framework, the study identifies several key factors contributing to defects, including incomplete aluminum melting, the ab-sence of standardized work procedures, dirty molds, worker fatigue, limited employee skills, and low-quality raw materials. Corrective actions were implement-ed, such as the procurement of thermo scanners, the development of Standard Operating Procedures (SOPs), raw material selection, and meticulous mold cleaning. After two weeks of implementing these measures, the defect rates dropped significantly to 4.37% for thick molds and 4.83% for thin molds, demonstrating the effectiveness of the proposed improvements in enhancing production quality and efficiency.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.