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Case study: Resolving quality issues in food manufacturing with advanced data analysis

Publication date: 22 October 2012
Author: CAMO

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Process Quality Food Manufacturing - Nidar / CAMO case studyMultivariate data analysis tools help manufacturers get deeper insights and make sense of their complex data, from understanding raw material properties to identifying critical process variables and the relationships between them which affect quality. This case study explains how a chocolate manufacturer used best practice to resolve a quality issue and optimise their production processes using multivariate data analysis and experimental design.

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