- The magazine
Case study: Resolving quality issues in food manufacturing with advanced data analysis
Publication date: 22 October 2012
Multivariate 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.
Download the full case study:
3M Food Safety | Analytik Jena AG | ANDEROL EUROPE BV | Bio-Rad Laboratories | BIOTECON Diagnostics GmbH | CAMO Software AS | Carl Zeiss Microscopy GmbH | ExxonMobil Lubricants and Specialties | FRAGOL GmbH+Co. KG | FUCHS LUBRITECH GmbH | Hanna Instruments, Inc. | Hanovia | Hosokawa Bepex GmbH | Lovibond Tintometer | NDC Infrared Engineering Ltd | Oxford Instruments Magnetic Resonance | PerkinElmer, Inc. | Perten Instruments AB | Petro-Canada Lubricants | Randox Food Diagnostics | Retsch Sample Preparation | ROCOL | Sandvik Process Systems AB | SI Analytics GmbH | SteriBeam | Synbiosis | Thermo Fisher Scientific | ToxiMet Ltd | Zeppelin Systems UK Limited |