Published 2003

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Publication details

Journal : Chemometrics and Intelligent Laboratory Systems , vol. 67 , p. 79–93 , 2003

Publisher : Elsevier

International Standard Numbers :
Printed : 0169-7439
Electronic : 1873-3239

Publication type : Academic article

Contributors : Berget, Ingunn; Aamodt, Anette; Mosleth, Ellen F.; Næs, Tormod

Issue : 2

If you have questions about the publication, you may contact Nofima’s Chief Librarian.

Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no

Summary

Often one type of raw material is used for different, but related products. Since raw material quality can be variable, some batches/entities of raw materials may be better suited for one type of product than others. A methodology for sorting raw materials into different categories, which can be used to make different types of products, is presented. The process variables for each product are optimised within each product/category simultaneously as the optimal splitting is found. The presented methodology can also be applied in situations where the goal is to split the raw materials into those that need additives and those that do not. The methodology is illustrated with an example where the product categories considered are bread baked with or without DATEM, which is an additive commonly used in the baking industry.

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