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Leveraging mill-wide big data sets for process and quality i
Authors: Jianzhong Fu and Peter W. Hart | ABSTRACT: The MWV mill in Covington, VA, USA, experienced a long term trend of increasing episodes of paper indents that resulted in significant quantities of internal rejects and production downtime. When traditional troubleshooting techniques failed to resolve the problem, big data analysis techniques were employed to help deter-mine root causes of this negative and increasingly frequent situation. Nearly 6000 operating variables were selected for a deep dive, multi-year analysis after reviewing mill-wide process logs and 60000+ PI tags (data points) collected from one of the major data historian systems at the MWV Covington mill. Nine billion data points were collected from November 2011 to August 2014. Strategies and methods were developed to format, clean, classify, and sort the various data sets to compensate for process lag time and to align timestamps, as well as to rank potential causes or indicators. GE Intelligent Platforms software was employed to develop decision trees for root cause analysis. Insights and possible correlations that were previously invisible or ignored were obtained across the mill, from pulp-ing, bleaching, and chemical recovery to the papermaking process. Several findings led the mill to revise selected process targets and to reconsider a step change in the drying process. These changes have exhibited significant impacts on the mill’s product quality, cost, and market performance. Mill-wide communications of the identified results helped transform the findings into executable actions. Several projects were initiated.
Journal articles
Magazine articles
Combustion behavior of kraft black liquor droplets from hot
Combustion behavior of kraft black liquor droplets from hot water pretreated hardwood and softwood chips, November 2016 TAPPI JOURNAL
Journal articles
Magazine articles
Novel CaCO3-polymer nanocomposite fillers for the improvemen
Novel CaCO3-polymer nanocomposite fillers for the improvement of bagasse-based papers, November 2016 TAPPI JOURNAL
Journal articles
Magazine articles
TAPPI Journal 2016 Best Research Paper Award: Mining Big Dat
TAPPI Journal 2016 Best Research Paper Award: Mining Big Data to improve pulping and papermaking operations, TAPPI JOURNAL April 2017
Journal articles
Magazine articles
Novel thin functional coatings for paper by foam coating, T
Novel thin functional coatings for paper by foam coating, TAPPI JOURNAL April 2017
Journal articles
Magazine articles
In-process detection of fiber cutting in low consistency ref
In-process detection of fiber cutting in low consistency refining based on measurement of forces on refiner bars, TAPPI JOURNAL April 2017
Journal articles
Magazine articles
Decision-making process for the identification of preferred
Decision-making process for the identification of preferred lignin-based biorefinery strategies, TAPPI JOURNAL April 2017
Journal articles
Magazine articles
Operating parameters affecting the thermal performance of bi
Operating parameters affecting the thermal performance of biomass boilers, TAPPI JOURNAL August 2017
Journal articles
Magazine articles
Drying characteristics of biosludge from pulp and paper mill
Drying characteristics of biosludge from pulp and paper mills, TAPPI Journal August 2017
Journal articles
Magazine articles
Guest Editorial: From rocket science to innovation in bioenergy & bioproducts, TAPPI JOURNAL February 2017
Guest Editorial: From rocket science to innovation in bioenergy & bioproducts, TAPPI JOURNAL February 2017