Prinzhorn Group: AI-Based Quality Control in Paper Production

within the Prinzhorn Group, Hamburger Containerboard implemented an AI-driven quality control framework that improves efficiency, reduces waste, and enables energy-conscious paper and cardboard production. scitis.io ensures stable operation and integration of the virtual sensor infrastructure.

The Challenge

Product quality is critical in paper roll production. Until recently, it could only be assessed through samples taken after the process — too late to intervene effectively in case of deviations.

The Solution

Available sensor data from the machines is used to build a virtual sensor that predicts key quality parameters during production — with a <5% error margin.

The Result

The AI’s enhanced prediction capabilities allow for parameters to be changed more promptly and throughout production. This enables resource-efficient production which precisely matches the required quality.

View all our use cases here.

Project Start

2019

Customer Portrait

Hamburger Containerboard, a division of the Prinzhorn Group, is a major European producer of 100% recyclable containerboard (corrugating medium and liner) used for making corrugated cardboard packaging. The parent Prinzhorn Group is a family-owned company, ranking third in Europe in this market segment, employing over 10,000 people in 16 countries, and generating an annual turnover of 2.3 billion Euro.

Technologies

AppEngineBigQueryCloudPlug Edgescitis frameworkVertexAI
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