Product/Service

Assumption-Free Batch Modeling And Monitoring

Source: CAMO Software, Inc.

Batch modeling is a procedure that models processes changing over time, from an initial starting point to an end point, where the chemistry or biology is changing during the process. The best possible end product quality is achieved by adapting batch operations according to any detectable changes during processing, thus providing a control mechanism to drive a product towards its desired state. CAMO has developed a new batch modeling approach using Principal Component Analysis (PCA) accommodating uneven batch lengths and different chemical or biological starting points. The method models the data in relative time and is also independent of the actual sampling rate between the batches. The Batch Modeling product is available as a plug-in to The Unscrambler® X product and can also be utilised in a process monitoring scenario using Unscrambler® Process Pulse II.

Features

  • Modeling batch progression in relative time
  • Prediction of new batch trajectories
  • Any pretreatment of the data e.g. for spectra are stored within the model and applied for new batches
  • The method is independent of sampling time, sampling period, batch progression and unequal batch lengths
  • Dynamic limits for scores for individual components and the overall model
  • Dynamic limits for the residual distance to the model (F-residual statistics)
  • Contribution plot for drill-down functionality
  • No missing value problem during prediction