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Magazine articles
The practical influence of heterogeneity on tensile accelerated creep in paper, TAPPI JOURNAL, March 2001, Vol. 84(3)
The practical influence of heterogeneity on tensile accelerated creep in paper, TAPPI JOURNAL, March 2001, Vol. 84(3)
Magazine articles
Using climate change policies for u.s. pulp and paper industry efficiency, TAPPI JOURNAL, July 2000, Vol. 83(7)
Using climate change policies for u.s. pulp and paper industry efficiency, TAPPI JOURNAL, July 2000, Vol. 83(7)
Magazine articles
Chromizing for near-drum corrosion protection, TAPPI JOURNAL, September 1999, Vol. 82(9)
Chromizing for near-drum corrosion protection, TAPPI JOURNAL, September 1999, Vol. 82(9)
Magazine articles
Advertising trends for publishers and magazines with the most ad pages, TAPPI JOURNAL, October 2000, Vol. 83(10)
Advertising trends for publishers and magazines with the most ad pages, TAPPI JOURNAL, October 2000, Vol. 83(10)
Magazine articles
People development in research and technology organizations, TAPPI JOURNAL, October 2000, Vol. 83(10)
People development in research and technology organizations, TAPPI JOURNAL, October 2000, Vol. 83(10)
Magazine articles
What's new with tappi test methods?, TAPPI JOURNAL, September 2000, Vol. 83(9)
What's new with tappi test methods?, TAPPI JOURNAL, September 2000, Vol. 83(9)
Magazine articles
ECF results please gruvon mill, TAPPI JOURNAL, January 1995, Vol. 78(1)
ECF results please gruvon mill, TAPPI JOURNAL, January 1995, Vol. 78(1)
Magazine articles
Papermakers conference stresses personal interaction, TAPPI JOURNAL, August 1994, Vol. 77(8)
Papermakers conference stresses personal interaction, TAPPI JOURNAL, August 1994, Vol. 77(8)
Magazine articles
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
Taiwan holds first symposium on environmentally friendly and emerging technologies for a sustainable industry, TAPPI JOURNAL, September 2000, Vol. 83(9)
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.
