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Conference papers
New Lignin Management Program Improves Strength and Performance in Virgin Containerboard, 19PaperCon

New Lignin Management Program Improves Strength and Performance in Virgin Containerboard, 19PaperCon

Conference papers
A study of the impact on pulp quality of the processing steps used in the conversion of inkjet? printed commercial papers to deinked pulp by two deinking methods, 19PaperCon

A study of the impact on pulp quality of the processing steps used in the conversion of inkjet? printed commercial papers to deinked pulp by two deinking methods, 19PaperCon

Conference papers
Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

Beyond Web Inspection and Monitoring systems • Intelligent cameras that increase papermaking efficiency, 19PaperCon

Conference papers
Development of More Sustainable Barrier Technology for Packaging, 19PaperCon

Development of More Sustainable Barrier Technology for Packaging, 19PaperCon

Conference papers
Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon

Filler Co-Flocculation With MFC - Novel Predictive Method, 19PaperCon

Conference papers
MPC for Simple Setup of Mid-Range and Other Advanced Controls, 19PaperCon

MPC for Simple Setup of Mid-Range and Other Advanced Controls, 19PaperCon

Conference papers
Setting the Pace Through Conversions and Optimization Necessity Is The Mother of Invention • Forward Thinking Concepts On How To Build A PM For The Future, 19PaperCon

Setting the Pace Through Conversions and Optimization Necessity Is The Mother of Invention • Forward Thinking Concepts On How To Build A PM For The Future, 19PaperCon

Conference papers
NEW APPLICATIONS FOR MICROWAVE MOISTURE MEASUREMENT IMPROVE PROCESS CONTROL AND REDUCE ENERGY COST, 2018 Tissue

NEW APPLICATIONS FOR MICROWAVE MOISTURE MEASUREMENT IMPROVE PROCESS CONTROL AND REDUCE ENERGY COST, 2018 Tissue

Journal articles
Magazine articles
Open Access
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.

Conference papers
Bleach Plant Scale Control Best Practices to Minimize Barium Sulfate and Calcium Oxalate Scale, Down Time and Cost, 19PEERS

Bleach Plant Scale Control Best Practices to Minimize Barium Sulfate and Calcium Oxalate Scale, Down Time and Cost, 19PEERS

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