Abstract
This study presents the first model of leakage current quality improvement in smart manufacturing projects using a system dynamics approach. Causal loop and stock-flow diagrams were developed to analyze the interrelationships between key variables, including yield improvement, defect rates, process capability indices, and the implementation of predictive maintenance systems. Historical data from 2019 to 2024 were used for model calibration, while scenarios for 2024-2030 were simulated to explore future trends. The results indicate that enhancing laser power accuracy significantly improves process capability and reduces leakage current defects, ultimately increasing product yield. The proposed model provides actionable insights for optimizing smart manufacturing processes through feedback loops and predictive maintenance strategies.
| Original language | English |
|---|---|
| Article number | 040001 |
| Journal | AIP Conference Proceedings |
| Volume | 3449 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 7 Jan 2026 |
| Event | 12th International Conference on Mechanics, Materials and Manufacturing, ICMMM 2025 - Bangkok, Thailand Duration: 5 Jun 2025 → 7 Jun 2025 |
Keywords
- process quality
- production process
- projects
- smart manufacturing
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