Stora Enso Ingerois Mill to Improve Operational Performance with BTG’s dataPARC - Papermart
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Stora Enso Ingerois Mill to Improve Operational Performance with BTG’s dataPARC

For the mill in Ingerois, Finland, Stora Enso will implement dataPARC software for the board production line, which marks an important part of the digital transformation journey of the company.

April 6, 2022

Stora Enso
Stora Enso Ingerois Mill. Image source: Stora Enso

Stora Enso Ingerois mill and BTG have agreed to implement the dataPARC solution for the board machine in South-Eastern Finland. The system is applied to support variability reduction goals by means of Statistical Process Control and Centerlining, which are integrated elements of dataPARC software platform for digital transformation.

Speaking about the association with Stora Enso, Pekka Vänni, dataPARC Manager in Europe, BTG, says, “With more than 300 installations in pulp & paper and overall tens of thousands of users every day, dataPARC is the leading solution in operational analytics and we are delighted to be able to bring the solution also to Europe and to Finland especially. Our customers are typically reporting hundreds of thousands in annual savings through variability reduction and we are excited to collaborate with Stora Enso’s operational team.”

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The solution includes dashboards for visualizing related KPIs, features for monitoring energy consumption, advanced troubleshooting and continuous improvement capabilities including Principal Component Analysis and tools for building predictive models.

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Highlighting the relevance of the system for their mill, Anni Käppi-Palomaa, Operations Development Manager, Stora Enso Ingerois mill, remarks “We want to maintain our market leader position in folding boxboard segment and we want to further enhance the quality properties of our products. Data is Power! In today’s world, there is a lot of data available, but the challenge we want to resolve is to utilise the information to improve our process performance and to find from data streams the relevant information that helps us to run the process better.”