Production Quality

Product Quality Monitoring and Prediction

LMRC in association with the Industrial Information and Control Centre (I2C2) have experience in process and quality improvement for a range of industries around the world, including major works in the petrochemical and dairy industries. This work encompasses a wide range of approaches, including:

  • Process simulation and modelling
  • Multivariate data analysis 
  • Statistical process control
  • Process Analytical Technology (PAT)
  • Process instrumentation and sampling
  • Data exploration and exploitation
  • Improved visualisation of data, models and results
  • Fundamental scientific exploration and laboratory techniques

The capability of this cooperation can be seen in one of our recent projects that have focused on milk powder production; this project focused on quality improvements in terms of ingredient dosing, and functional test properties - physical characteristics relating to end-user performance, such as dissolution behaviour or sediment levels, and improving these both across space (at different plants) and time (throughout the production season).