Control charts Control charts are useful in following the timely development of quality variables. Figure 1 shows the principles of drawing one control chart: the mean control chart. If the process is running satisfactorily, one expects all means of successive samples to lie inside the upper and lower action limits. The probability of a sample
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Control charts
After reading this article you will..
- have a basic understanding of the drawing and use of the most common control charts.
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
Edited by:
Professor Emeritus Kauko Leiviskä, University of Oulu
Based on: Leiviskä, K., Methods (Chapter 3). In: Leiviskä, K. (ed), Process and Maintenance Management, (Book 14), Papermaking Science and Technology. 2nd edition. Jyväskylä, 2009, Paper Engineer’s Association/Paperi ja Puu Oy. pp. 28–71.
References:
- Borror, C., Champ, C. and Rigdon, S. E. 1998. Poisson EWMA control charts. Journal of Quality Technology 30(4):352–361.
- Corbi, J.-C., Nay, M. J., and Belt, P. B. 1986. Statistical quality control in the bleach plant. TAPPI J. 69(2):60–61.
- White, K. and Roberts, C. 1994. Applying SPC data analysis techniques to continuous processes in the pulp and paper industry. In: 1994 Control Systems Preprints, SPCI, Stockholm. pp. 52–59.
- Latva-Käyrä, K. 2001. Fuzzy logic and SPC. In Industrial Applications of Soft Computing (ed. Leiviskä, K.) Physica Verlag, pp. 197–210.
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This page has been updated 16.11.2020
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