Advanced Analytics Improve Mill Performance and Reliability

Almi Jari, Lehtonen Samuli, Yamamoto Atsushi

doi:10.2524/jtappij.74.208

The Industrial Internet has enabled the unlocking of the value of vast data resources in a modern pulp and paper mill. Combining process and business data from diff erent mill systems, applying advanced analytics and utilizing industry knowhow allows advanced companies to launch new data driven analytical applications. The applications can just visualize the big data, but also incorporate artifi cial intelligence to predict future outcomes and increase overall level of intelligence. New applications enable assisted decision making by mill operators and create more intelligent setpoints to the automation system.Analytical applications and remote connections can be also used by suppliers process and machine ex perts in their remote support centers. Their analyses, discoveries and recommendations are being used to op timize the performance of mill sub︲processes and the whole mill. Suppliers and pulp and paper producers col laboratively implement and sustain mill performance and reliability improvement programs based on various analytical applications for assisted decision making, closed loop optimization and knowledge based services. Specifi c case studies are presented where productivity has been increased, raw material and energy costs lowered, quality optimized and process uptime improved through advanced analytics leveraged both by oper ators and suppliers in their services.The future of data analytics will involve common solutions by suppliers in a so︲called “digital ecosystem”. Concrete steps in building this ecosystem are being taken by combining the resources and solutions of an au tomation supplier with a supplier of enterprise resource planning and manufacturing execution systems.

Advanced Analytics Improve Mill Performance and Reliability

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