Case Study

A global sustainable resources group uses Aicadium’s predictive maintenance for optimal viscose manufacturing operations


A global sustainable resources group wanted to be able to predict moisture levels (viscose moisture control) for their paper production plant, in order to detect issues and intervene before problems arise.


Aicadium’s AI-powered dashboard displays current moisture level predictions and parameters recommendations for operators. The organisation uses Aicadium’s predictive maintenance model and defect detection models which enable operators to understand what needs to be changed at the right time.


The solution has enabled timely analysis and intervention in the organisation’s manufacturing operations, all of which impacts profitability. As a result, they see a substantial improvement of viscose product fiber qualities in their paper plant.

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