Bio4C ProcessPad™ software from MilliporeSigma

Description

Data management, visualization, and analytics software

Continued Process Verification (CPV) -
  • Prediction of data distribution
  • Automatic capability analysis (Cpk and Ppk calculations)
  • Monitoring CPP, KPP, and MP parameters against set limits
  • Control limit management
  • Automatic calculation of statistical trend rule violation
  • CPV reporting
Reporting -
  • Process summary reports
  • Annual product quality review (APQR) reports
  • Manufacturing campaign reports
  • Batch summary and run excursion reports
  • Plant equipment utilization report
  • Ad hoc reports in support of root cause analysis
Data analytics & visualization-
  • Lot Tree View – provides information about the inputs and ingredients (e.g., raw materials, product intermediates) for each stage and process of a batch; if you have trouble with a batch, you can see if there were issues with other batches with the same media or input lots
  • Timelines – gives a holistic view of all batches that ran within a selected time period
  • Profile Overlay – time series data can be viewed in a profile overlay (e.g., VCD readings over 12 days); compare time profiles of multiple batches for one or more parameters
  • Control Charts – give insights into batch-to-batch variability or can be used as part of CPV
  • Relate Parameters – visualizations to study bivariate and multivariate relationships between different batch parameters
  • PCA (Principal Component Analysis) – enables quick identification of outlier batches within hundreds of CPPs and CQAs and helps determine which process attributes are contributing to process variability
Machine Data Analytics and Visualizations Supply -
  • Live plant, machine, or batch status
  • Overall equipment efficiency estimations
  • Overlay current and historical batch profiles for comparison and benchmarking
  • Correlate streaming parameters. Align multiple batch events to compare and troubleshoot batch differences
  • Search historical time series data for matching anomaly.