Welcome- Themes
- Introduction to forest-based bioeconomy
- Wood products
- Natural fibre products
- Man-made bio-based fibre products
- Bio-based nanomaterials
- Recycled fibre
- Pulping and biorefining
- Energy and biofuels
- Biomass chemistry and physiology
- Material testing and product properties
- Forests and other biomass resources
- Supply chain
- Process control and automation
- Asset management
- Business and investment planning
- Environmental control and management
- Learning paths
- Other resources
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- Profile
Pareto analysis
After reading this article you will..
- learn the principles of Pareto charts
- learn to draw a simple Pareto chart.
Process control and automation
- Introduction to process control and automation
- Development of process automation
- Fibre process automation
- Chemical recovery as a control object
- Advances in paper machine automation
- Paper machine as a dynamical system
- Tasks in paper machine control and management
- Control of stock flow concentration and quality
- Machine direction control
- Cross-directional control – The static optimisation
- Cross-directional control – Dynamics
- Cross-directional control – further aspects
- Controlling functional paper properties
- Managing grade chances in the paper machine
- Managing disturbances caused by broke and recovered solids
- Millwide systems
- Modelling and control methods
Authors & references
Author:
Professor Emeritus Kauko Leiviskä, University of Oulu
References:
- Corbi, J.-C., Nay, M. J., and Belt, P. B. 1986. Statistical quality control in the bleach plant. TAPPI J. 69(2):60-61.
- Wikipedia contributors. Pareto distribution [Internet]. Wikipedia, The Free Encyclopedia; 2020 Mar 11. [Online] Available from: https://en.wikipedia.org/wiki/Pareto_distribution [Accessed 17th March 2020].
- ASQ. Learn about quality. Quality resources. Pareto. [Online] Available from: https://asq.org/quality-resources/pareto [Accessed 17th March 2020].
- Reed, W.J. and Jorgensen, M. 2004. The Double Pareto-Lognormal Distribution – A New Parametric Model for Size Distributions. Communications in Statistics – Theory and Methods 33(8):1733–53.
- Harchol-Balter, M. and Downey, A. 1997. Exploiting Process Lifetime Distributions for Dynamic Load Balancing. ACM Transactions on Computer Systems 15(3):253–258.
- Seal, H. 1980. Survival probabilities based on Pareto claim distributions. ASTIN Bulletin 11:61–71.
- Wan Rosli, W. D., Mazlan, I. and Law, K. N. 2009. Effects of kraft pulping variables on pulp and paper properties of Acacia mangium kraft pulp. Cellulose Chem. Technol., 43(1–3):9–15. [Online] Available from: http://www.cellulosechemtechnol.ro/pdf/CCT1-3-2009/p.9-15.pdf [Accessed 17th March 2020].
- Shatalov, A.A. and Pereira, H. 2013. High-grade sulfur-free cellulose fibers by pre-hydrolysis and ethanol-alkali delignification of giant reed (Arundo donax L.) stems. Industrial Crops and Products 43:623–630.
- Guo, Z., Huddleston, J.G., Rogers, R.D. and April, G.C. 2003. Reaction Parameter Effects on Metal-Salt-Catalyzed Aqueous Biphasic Pulping Systems. Ind. Eng. Chem. Res. 42:248–253.
- Sondhi, S., Sharma, P., George, N., Singh Chauhan, P. Puri, N. and Gupta, N. 2015. An extracellular thermo-alkali-stable laccase from Bacillus tequilensis SN4, with a potential to biobleach softwood pulp. 3 Biotech. 5(2):175–185.
- Marinescu, M. 2018. Guide to Developing a Science-Based Biomass Quality Control Program. Technical report no. 42. FPInnovations.
Videos
Exercises
This page has been updated 15.11.2020