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Magazine articles
Measuring customer perception of print quality, TAPPI JOURNAL, March 1990, Vol. 73(3)
Measuring customer perception of print quality, TAPPI JOURNAL, March 1990, Vol. 73(3)
Magazine articles
The behavior-based approach to safety: a clear picture, an effective plan, TAPPI JOURNAL, August 1991, Vol. 74(8)
The behavior-based approach to safety: a clear picture, an effective plan, TAPPI JOURNAL, August 1991, Vol. 74(8)
Magazine articles
Controlling anaerobic bacteria to improve product quality and mill safety, TAPPI JOURNAL, February 1991, Vol. 74(2)
Controlling anaerobic bacteria to improve product quality and mill safety, TAPPI JOURNAL, February 1991, Vol. 74(2)
Magazine articles
Alkaline peroxide mechanical pulping of hardwoods, TAPPI JOURNAL, June 1991, Vol. 74(6)
Alkaline peroxide mechanical pulping of hardwoods, TAPPI JOURNAL, June 1991, Vol. 74(6)
Magazine articles
Conversion from acid to alkaline with a film transfer size press, TAPPI JOURNAL, June 1991, Vol. 74(6)
Conversion from acid to alkaline with a film transfer size press, TAPPI JOURNAL, June 1991, Vol. 74(6)
Magazine articles
Fifth international printing and graphic arts conference: a joint success, TAPPI JOURNAL, June 1991, Vol. 74(6)
Fifth international printing and graphic arts conference: a joint success, TAPPI JOURNAL, June 1991, Vol. 74(6)
Magazine articles
Modern management, technology, make skogn significant newsprint maker, TAPPI JOURNAL, March 1991, Vol. 74(3)
Modern management, technology, make skogn significant newsprint maker, TAPPI JOURNAL, March 1991, Vol. 74(3)
Magazine articles
Highly corrosion-resistant metals for the pulp and paper industry, TAPPI JOURNAL, March 1991, Vol. 74(3)
Highly corrosion-resistant metals for the pulp and paper industry, TAPPI JOURNAL, March 1991, Vol. 74(3)
Magazine articles
Alkaline filler addition and retention, TAPPI JOURNAL, April 1992, Vol. 75(4)
Alkaline filler addition and retention, TAPPI JOURNAL, April 1992, Vol. 75(4)
Journal articles
Magazine articles
Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning, TAPPI Journal November 2019
ABSTRACT: Packaging manufacturers are challenged to achieve consistent strength targets and maximize pro-duction while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning.The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under ever-changing machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.