#46 Data analytics for structural fibre resources optimisation
The ongoing digitalisation of manufacturing companies enables new potential for optimisation of their processes. With a growing number of sensors implemented in manufacturing systems such as modern large sawmills, a huge volume of data is generated. This data is an important resource to maintain competitiveness.
In this project we are using machine learning and data analytics approaches to explore the huge volume of data collected by Hyne Timber across various stages of production, to uncover new insights and avenues for future investigation.
Researchers include: Dr Steven Psaltis, Dr Xiaoyu Wang, Prof Ian Turner & Rebecca Cherry.