| Valmet to supply Metsä Board's Kemi mill with Industrial Internet solutions to enhance end-product quality and the mill's productivity |
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Valmet and Metsä Board have signed an agreement on data-driven optimization of paperboard quality of the board machine at Metsä Board's Kemi mill. The machine produces premium quality white top kraftliner. Valmet will supply the mill with Valmet Industrial Internet VII Data Discovery and VII for Paper Quality solutions.
The order was included in Valmet's orders received of the second quarter 2020. The value of the order is not disclosed.
The agreement is the first step in a jointly built digital roadmap between Metsä Board and Valmet. The target of this first step is to ensure top-quality end-product to enable smooth runnability in the paperboard converting process. A mill-wide action plan will be created by combining historical mill process data, converting data from Metsä Board's customer and Valmet's expertise to discover the improvement potential of the board machine BM1 production process. This is enabled by Valmet's VII Data Discovery solution.
"Metsä Board's products are known for high quality consistency and converting runnability, and we are committed to continuous improvement. With virtual sensors for quality management using artificial intelligence we can reach even better performance. We chose Valmet as our partner based on technical expertise and long-term trust between our companies," says Tomi Vähä-Ruohola, Technical Development Manager, Metsä Board.
"This project is a good example of how we can use VII Data Discovery findings to build a mill-wide action plan and create the right artificial intelligence-based VII solutions for the customer's needs. With this first step in our common digital roadmap, we are together moving towards data-based optimization of the entire value chain from pulping to converting," says Arttu-Matti Matinlauri, Director, Analytics and Applications, Automation business line, Valmet.
The VII for Paper Quality solution, including Valmet's artificial intelligence-based applications and the Valmet IQ Quality Management System are used to predict and autonomously optimize paperboard surface quality in real time.
A key part of the VII for Paper Quality solution is the world's first predictive application for online optimization of paperboard surface quality. It helps maintain high end-product quality and optimize the usage of raw material.
Another important application in this solution is the Dynamic Centerline Advisor, which builds optimal production recipes for each operating mode, ensuring maximized overall equipment effectiveness.
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