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Publisert 2001

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Publikasjonsdetaljer

Tidsskrift : Chemometrics and Intelligent Laboratory Systems , vol. 55 , p. 133–145 , 2001

Utgiver : Elsevier

Internasjonale standardnummer :
Trykt : 0169-7439
Elektronisk : 1873-3239

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Mevik, Bjørn-Helge; Mosleth, Ellen F.; Ellekjær, Marit Risberg; Næs, Tormod

Sak : 1-2

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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

Unwanted variation due to variable raw material quality is often a problem in production processes. Robust process optimization seeks to reduce the effects of such variation by identifying settings of the adjustable factors that makes the process less sensitive to the variations. This paper develops a unified framework for studying and developing robust process optimization and process control techniques. We divide the factors of the process into groups based on characterizations of their properties. We also develop a robust process optimization technique for batch-wise processes, called batch-wise robust process optimization, which utilizes all available measurements of raw material qualities at the start of each production batch. The technique achieves a reduction of variability due to variation in raw material qualities, compared to ordinary robust process optimization. Two examples taken from baking of hearth bread illustrate the technique. (C) 2001 Elsevier Science B.V. All rights reserved.

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