This thesis addresses maintenance challenges of imported industrial machinery, including long shipping times, high import taxes, and the degradation of spare parts during long-term storage. To respond to these issues, the project proposes a Smart Spare Part Lifecycle System that integrates Augmented Reality (AR), 3D Printing, and a Digital Spare Part Library. The system allows technicians to scan machine components using AR to access critical information such as usage history, lifespan, condition status, and maintenance recommendations. When a component is suitable for local production, the system retrieves a 3D model from the digital library and enables on-demand spare part manufacturing through 3D printing, reducing reliance on imported parts and physical inventory.
The outcome of this research is a functional AR-based prototype system that demonstrates improved maintenance decision-making, reduced machine downtime, and long-term cost efficiency in industrial maintenance operations.
Web Application for Engineering with 3D parts
