Success stories

  • we have developed an integrated monitoring system enabling realtime process monitoring and product quality classification in a process for the manufacturing of animal vaccines
  • we have developed a method for the automatic maintenance of data-driven models that monitor the manufacturing of pharmaceutical tablets
  • we have developed a methodology enabling the transfer of a spray-drying monitoring model across different plant scales
  • we have developed a software package for the periodic review of data historians from secondary pharmaceutical manufacturing systems to extract operation-relevant information
  • we have developed a data-driven method to investigate powder raw-materials (APIs and excipients) databases to aid the selection of new incoming materials based on their manufacturability
  • we have explored cloud data from professional cooking ovens to identify patterns and assist predictive maintenance
  • we have developed a method for the in-silico design of new formulations for solid oral drug products
  • we have developed a machine learning software tool to aid cell line screening, selection and performance prediction across static, shaken and stirred systems for accelerated bioprocess scale-up/scale-down
  • we have developed a machine vision system to automatically characterize the visual appearance of pharmaceutical tablets
  • we have developed a modelling approach and a methodology to accelerate the development of freeze-drying processes using model-based design of experiments
  • we have developed hybrid monitoring tool for fast fault detection and diagnosis in a fluid-bed dryer
  • we have developed and implemented a virtual sensor for the realtime prediction of product quality and batch duration in a resin manufacturing process
  • we have supported the development of a continuous process for the manufacturing of pharmaceutical tablets by highlighting the most significant sources of variability in the product quality
  • we have investigated the relation between manufacturing steps and product quality in a process for the manufacturing of toothpaste
  • we have provided a model-based alternative to standard experience-driven approaches to accelerate the scale-up of wheat milling operations
  • we have developed an artificial vision software tool to characterize the quality of nanostructured membranes to be employed in blood filtration
  • we have troubleshooted an industrial, multi-unit, multi-phase batch process for the manufacturing of a polymer stability enhancer
  • we have developed a model-based optimization approach to increase productivity in microalgae cultivation systems
  • we have trained industrial professionals on the use of multivariate statistical methods for process understanding, monitoring and design