machine learning-driven Six Sigma framework for enhancing the quality improvement and productivity in the Aircraft Manufacturing
The aviation industry, a pillar of global transportation, is under constant pressure to increase productivity and efficiency while maintaining strict quality requirements. Airctraft defects in production can result in significant financial losses, lead to costly rework, delays, and even safety risk...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Pembangunan Nasional "Veteran" Yogyakarta
2025-06-01
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| Series: | OPSI |
| Subjects: | |
| Online Access: | https://jurnal.upnyk.ac.id/index.php/opsi/article/view/13960 |
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