Product category:
Pulp and Paper Process News
News Release from: MatrikonOPC | Subject: Abitibi case study
Edited by the Processingtalk Editorial
Team on 08 May 2006
Advanced data mining and analysis
improves OEE
Matrikon advanced data mining and analysis for a paper sheet break reduction initiative yields quantifiable production improvements for the Abitibi Fort Frances paper mill
Abitibi-Consolidated is a global leader in newsprint and commercial printing papers as well as a major producer of wood products, serving clients in some 70 countries from its 45 operating facilities A major contributory factor to reduced efficiency in paper production are the sheet-breaks, which reduce paper machine efficiency, and reduce print productivity
This article was originally published on Processingtalk on 9 Jul 2008 at 8.00am (UK)
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Consequently, sheet break reduction is a major area of focus for most paper operations.
Like many mills in the industry, at the Abitibi Fort Frances mill, PM7 paper machine suffered from deteriorating production.
PM7 is a 210 inch, 1920s vintage, Valmet Bel-Baie III paper machine, rebuilt in 1984: it makes value added paper for communication.
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Running at an average of 2970 feet per minute (FPM), PM7 suffered an average of 2.3 wet end breaks per day, with an Overall Equipment Efficiency (OEE) of 69.4%.
The average downtime for 2004 was 75 min/day.
In spite of various improvement initiatives, they could not sustain the performance gains, and the benefits gradually decreased over time.
"Abitibi was looking for a new sustainable method to improve the paper machine production," said Jorg Ruppenstein, Process Control Engineer at Abitibi.
"We were looking for a quantifiable data driven approach.
This would enable us to compare our performance before and after the project, so that we could measure a true economic benefit".
Abitibi partnered with Matrikon to perform a joint sheet-break reduction initiative.
Abitibi provided all of the necessary plant data and plant operations experience.
Matrikon provided the tools and expertise to perform the advanced data mining and analysis.
The core technology for this effort was the Matrikon Process Monitoring software.
The project was broken into four distinct phases:.
* Phase 1: Interview and knowledge discovery.
* Phase 2: Data collection.
* Phase 3: Data mining and analysis.
* Phase 4: Defining improvement projects.
The data analysis used 8 months of data that was already stored in the mill's process data historian.
This data included information from the paper machine's automation systems (distributed control systems, quality control system, and programmable logic controllers) drives and other sources.
The analysis enabled engineers from Abitibi and Matrikon to make the following conclusions.
* The root causes were classified into 3 major process areas: stock prep and stock proportioning, the steam system, and the draw system.
* 30% of the breaks were related to changes in the broke system.
* 15% of the breaks were related to dryer section differential pressure variability along with dryer motor current variability.
* 15% of the time a second sheet break followed the first sheet break within 30 minutes and 15% of the breaks were preceded by large changes in draws.
The team identified 50 improvement opportunities.
The top 5 improvements were.
* A change in the stock proportioning logic so that broke only displaces virgin groundwood and not virgin kraft.
* Changes to the broke addition logic and piping from 3 parallel streams into a single stream.
* Repairs to the dryer controls and instrumentation.
* Re-commissioned the white water silo temperature control system.
* Mechanical repairs to eliminate debris hung up and release after a break.
Since the goal of the project was to deliver sustainable improvements, the team calculated all measurements over a nine-month period after the project.
The results were impressive.
The average wet end sheet breaks per day reduced by over 40% (from 2.30 to 1.36 breaks per day).
The average production rate increased by 12% (from 303 to 338 tons/day).
Average downtime reduced by 37% (from 75 to 47 minutes per day).
OEE (overall equipment efficiency) increased by 8.3% (from 69.4% to 77.7%).
"The Matrikon Process Monitoring software helped our Fort Frances paper mill realize over US$1 million in savings during the first 9 months alone," said Ruppenstein.
"We have a sustainable, quantifiable data driven approach to improve paper machine production.
It was truly a team effort between operations, engineering, maintenance nd Matrikon".
Abitibi has future plans to deploy this solution throughout their other mills. Request a free brochure from MatrikonOPC ...
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