Optimal maintenance planning for critical mining and energy infrastructure

该项目旨在开发最先进的数学算法，以优化采矿和能源部门的维护活动。由于计划不周--过时、低效的手工流程--这些维护活动很容易超出预算和时间。该项目预计将产生新的维护规划方法，以严格的数学理论为基础，减少人工干预，并根据实时传感器数据优化短期和长期维护。这些新方法将成为解决大规模、时间紧迫的维护项目的复杂性、提高资源行业的生产力以及促进数学家和工程师之间合作的强大工具。

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 Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes.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.