Statistical Process Control – Basics Statistical Process Control (SPC) aims to keep the manufacturing process in control and reduce its variations using various statistical techniques. This decrease in variation means better quality, lower costs and less waste. To be successful, SPC requires correct measurements, at the correct place and at the right time. Managing efficient
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SPC Basics
After reading this article you will..
- understand the goal of Statistical Process Control (SPC).
- have some examples of basic statistical methods in quality analysis; trends and histograms.
Content
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.
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This page has been updated 24.11.2020
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