Pulp and Paper Industry – Assets Optimization and Quality Control Using Multivariate Data Analysis

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Author: Mouloud Amazouz, Natural Resources Canada

CETC number: 2014-112

Publication date: 2015-02-06

Abstract:

Multivariate data analysis can be applied to turn historical data from pulp and paper mills into knowledge and actionable information to maximize yield and profits. The development of operation improvement solutions allows for the continuous improvement and maintenance of process performance and productivity.

CanmetENERGY’s multivariate data analysis software EXPLORE helps transform historical data into decisions and actions. These solutions lead to process operation performance improvement, notably thanks to increased understanding of operation and control, as well as the development of soft sensors for better air emissions monitoring and control.

For more information about Natural Resources Canada’s activities related to industrial processes, visit the Industrial Systems Optimization section of the website.