Publisert 2007

Les på engelsk


Tidsskrift : Journal of Chemometrics , vol. 21 , p. 440–450 , 2007

Internasjonale standardnummer :
Trykt : 0886-9383
Elektronisk : 1099-128X

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Måge, Ingrid; Næs, Tormod

Sak : 10-11

Har du spørsmål om noe vedrørende publikasjonen, kan du kontakte Nofimas bibliotekleder.

Kjetil Aune


This paper deals with the optimisation of production processes in a situation where the raw material varies. The objective is to minimise production costs for a given raw material quality, with restrictions on the end-product quality. Three important issues are addressed. First, we discuss the collection of data for response surface modelling. In full-scale production processes it is very difficult to perform large experiments. We show that merging smaller designed experiments can be a good alternative. Secondly, we illustrate the use of an approach for combining data obtained using an experimental design with spectroscopic raw material measurements in a joint regression model. Finally we discuss some issues related robustness and sensitivity in optimisation. We also show how this optimisation can be used as a tool when purchasing raw materials.