NDLI: SPOC-process modelling provides on-line quality control and predictive process control in particle and fibreboard production

Content Provider	IEEE Xplore Digital Library
Author	Bemardy, G. Scherff, B.
Copyright Year	1998
Description	Author affiliation: ATR Ind.-Elektron. GmbH & Co. KG, Viersen, Germany (Bemardy, G.)
Abstract	A number of production processes are characterised by having a large number of differing, but interdependent process sections and many complex influential factors. Despite great efforts in process control, fluctuations in the raw material properties often result in inconsistent qualities in the product because the raw material properties often cannot be measured online. Such quality inconsistencies are not detected during production and can only be determined on a random sample much later by laboratory testing. This paper attempts to show that modelling of such a production process and the prediction of quality properties result in reliable online quality control, model-based process optimisation and leads to model-based predictive process control (MPC) as a master control system. Using modern computing technology (SPOC Statistical Process Optimisation and Control) based on the relevant process parameters, statistical methods are able to precisely calculate online most of the quality properties. Optimisation methods calculate model-based production settings to meet quality optimally with respect to costs. Process adjustment using a model-based predictive feedback control is discussed. Highly promising results have been achieved, for example, in particleboard and fibreboard production processes. The results are transferable to other processes with similar characteristics (e.g., oil refinery or sugar production).
Starting Page	1703
Ending Page	1707
File Size	872765
Page Count	5
File Format	PDF
ISBN	0780345037
DOI	10.1109/IECON.1998.722931
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-08-31
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality control Predictive models Process control Raw materials Fluctuations Laboratories Testing Production systems Control system synthesis Computers
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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