Multivariate Statistical Process Control APPLICATIONS STATISTICA MSPC Trajectory Plot for Stage 1 Pressure Number of batches: 30 • Apply multivariate statistical methods quality control, predictive modeling, and data reduction to complex manufacturing processes. • 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. • Determine the most critical process, raw material, and environmental factors and their optimal settings for delivering the products of the highest quality. • Utilize techniques for process industries and batch-oriented manufacturing such as pharmaceutical, chemical, petrochemical, and pulp and paper manufacturing. STATISTICA Provides the Complete Solution: Offline Analyses • Historical analysis, data exploration, data visualization, predictive model building and evaluation, model deployment to monitoring server STATISTICA MSPC: SPE(Q) Chart Number of components is 14 Online Analyses • Interactive monitoring with dashboard summary displays and automaticupdating results. PROCESS ANALYTICAL TECHNOLOGIES • Automated monitoring with rules, alarm events, and configurable actions. 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 optimized for deployment for validated applications. Validations packages (IQ/OQ/PQ) and services are available. StatSoft offers a large selection of desktop and web enabled enterprise-wide solutions for manufacturing and other applications, supported with consulting and training services by a network of 30 offices on all continents. 2300 East 14th Street • Tulsa, OK 74104 • USA • (918) 749-1119 • [email protected] • www.statsoft.com

Multivariate Statistical Process Control ANALYTIC CAPABILITIES • Partial least squares • Principal components • Cross-validation • Recursive partitioning methods (trees), including C&RT, CHAID, Stoichiastic gradient boosted trees, and random forests • Neural networks • Independent components analysis • Support vector machines • Nonlinear feature selection • Design of experiments • Cluster analysis • general linear models • Curve-fitting • Graphical data analysis with exploratory brushing PLATFORM CAPABILITIES • Central configuration and administration of data • Connections queries, analyses,...