Research Grant
[Cite as https://purl.org/au-research/grants/arc/FT170100120]Researchers: Ryan Loxton (Future Fellowship)
Brief description Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.
Funding Amount $910,152
Funding Scheme ARC Future Fellowships
- PURL : https://purl.org/au-research/grants/arc/FT170100120
- ARC : FT170100120