Distributed Workload Planning and Predictive Maintenance

Overview

As condition-based maintenance, system-wide optimisation, and value-oriented production become the three major directions of the evolution of asset management, maintenance can no longer be considered as isolated from other production activities. Studies have shown that the degradation process of machines are dependent on the operation being performed (e.g., higher workload results in faster degradation). However, the intrinsic connection between operation and condition-based maintenance has not been sufficiently addressed in system-wide asset management optimisation problems. Hao’s research is set in a scenario where parallel assets cooperate to achieve production goals. The aim of her research is to develop a model to assist with integrated optimisation of both load allocation and condition-based maintenance in order to maximise system-level profit in the long run.    

 

PhD Student

Hao Li

 

Supervisor

Prof. Ajith Parlikad

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