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Yingying complet= ed her master=E2=80=99s degree in Applied Mathematics in China. She mainly = majored in Graph Theory and Combinatorial Optimisation. Her previous resear= ch focused on optimising reliability and fault tolerance of interconnect ne= tworks. The analysis of the optimal properties of large-scale networks help= ed engineers to design more reliable networks and to minimise the cost.
=Yingying will complete her PhD with Professor Ryan Loxton and Professor = Andrew Rohl at Curtin University. She will be focusing on research associat= ed with Theme 3 - Support the Manager.
PHD Research - Optimal= Maintenance Scheduling via Mathematical Programming
= Yingying is focusing her PhD on developing new algorithms for opt= imising short- and long-term industrial maintenance schedules and determini= ng maintenance cycle times in an interconnected system. Her work will inclu= de overcoming the dimensionality challenges in large-scale industrial optim= isation problems.
A large amount of maintenance work mus= t be conducted regularly, which may require the whole plant, or sub-units o= f the plant, to be taken out of service for overhauling, preventive mainten= ance, corrective repairs, etc. This shutdown process provides an opportunit= y for conducting maintenance that cannot be performed while the plant is op= erating, and it is a crucial maintenance strategy to restore plant processe= s to an optimal state. Therefore, optimised shutdown maintenance scheduling= will offer companies significant efficiency gains.
Yingying will dev= elop mathematical optimization models to minimize the total cost, and= maximize synergies and profits in maintenance operations.