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STATISTICA Multivariate Statistical Process Control (MSPC)







STATISTICA provides a complete solution for multivariate statistical process control. These methods are directly applicable to all complex manufacturing processes, including process industries and batch-oriented manufacturing such as Pharmaceutical, Chemical, Petrochemical, and Pulp & Paper Manufacturing

STATISTICA's MSPC capabilities allow you to:

  • Apply univariate and multivariate statistical methods for quality control, predictive modeling, and data reduction to complex manufacturing processes
  • Determine the most critical process, raw materials, and environment factors and their optimal settings for delivering products of the highest quality
  • Monitor the process characteristics interactively or automatically during production stages, rather than waiting for final testing
  • Build, evaluate and deploy predictive models based on the known outcomes from historical data

STATISTICA supports the modes in which your organization will employ MSPC techniques, including:

Offline Analyses

  • Historical analysis, data exploration, data visualization, predictive model building and evaluation, model deployment to monitoring server

Online Analyses

  • Interactive Monitoring with Dashboard summary displays and Automatic-updating results
  • Automated Monitoring with rules, alarm events, and configurable actions

Process Analytical Technology

STATISTICA is the analytics software platform for PAT applications:

  • Wealth of multivariate techniques including Partial Least Squares, Principal Components, Neural Networks, Recursive Partitioning (Tree) Methods, Support Vector Machines, Independent Components Analysis, Cluster Analysis and more
  • Platform provides user access control and permissions, audit trails, data connectivity, central configuration and maintenance, Web-based user interfaces, and Part 11-relevant features
  • STATISTICA is in use for validated applications; Validation packages (IQ/OQ/PQ) and Services are available


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