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Lookup NU author(s): Dr Hugo Hiden,
Professor Elaine Martin,
Professor Gary Montague,
Emeritus Professor Julian Morris
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This paper describes the development of inferential models for the provision of real-time, on-line estimates of the quality of a breakfast cereal for production line operators. Five quality variables were selected and on-line measurements reflective of the key process conditions were identified. Following process data logging, a number of linear and non-linear data-based modelling methods were applied to identify relationships between the on-line measurements and the product quality. Off-line verification of the models indicated that the prediction accuracy achieved was sufficient to offer the opportunity for quality control improvements. The models were subsequently implemented on-line to provide the process operators with frequent estimates of product quality. Performance assessment has indicated a reduction in the variability of all five quality parameters. In addition to details of the modelling, the decisions relating to the development strategy and justification for implementation are considered. © 2001 Elsevier Science Ltd. All rights reserved.
Author(s): Martin EB; Hiden H; Montague GA; Morris AJ; Albert S; Conlin A
Publication type: Article
Publication status: Published
Journal: Journal of Food Engineering
Print publication date: 01/11/2001
ISSN (print): 0260-8774
ISSN (electronic): 1873-5770
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