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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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