Products & Solutions / Supply Chain Intelligence

SAS® Quality Lifecycle Analysis

Quality in a new light – across the enterprise and throughout the entire product life cycle. Holistic, predictive and powerful.

Through advanced analytic and reporting technologies, SAS Quality Lifecycle Analysis delivers a solution that provides manufacturers with a holistic view of quality across the enterprise. It combines data integration, automation and analytics to create the most unbiased insight into large-scale manufacturing processes, helping organizations improve quality while better containing costs.

Benefits

  • Gain a holistic view of the enterprise.
  • Quickly understand changes.
  • Reduce the cost of quality.
  • Increase profitability.

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Features

  • Enterprise, quality-centric data model.
  • Automated monitoring and alerting.
  • Predictive modeling.
  • Advanced analysis workbench.
  • Reporting and key performance indicator dashboards.

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Predictive Models


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How SAS® Is Different

  • End-to-end integration. SAS offers unmatched end-to-end capabilities for pulling data together, analyzing it and then making it available to those who need it throughout the entire organization.
  • Reduced costs. State-of-the art analytics and predictive modeling capabilities drive tighter controls and improved processes, resulting in decreasing scrap expenses and rework rates.
  • Early-warning analytics. SAS monitors thousands of parameters continuously and can send automated alerts to warn of potential quality issues before they become costly problems.
  • Flexibility. While SAS provides a data model that can handle practically any type of data you may have, our data model can also be customized to incorporate any additional data types your organization may require.

Benefits

  • Gain a holistic view of the enterprise. The SAS enterprise data model captures large volumes of data regardless of format or source and then transforms, standardizes, cleanses and prepares it for analysis. SAS analytics and reporting technologies enable manufacturers to align strategies in order to reduce the gap between target and actual performance.
  • Quickly understand changes. World-class quality control delivers up-to-the-minute insight into the performance and quality of manufacturing operations, enabling tighter process control at every level. Early-warning analytics enable users to proactively address and take action to fix potential quality and performance issues before they become a customer problem.
  • Reduce the cost of quality. SAS software's analytics and predictive data mining capabilities drive continuous quality increases, improved reliability and higher yields. This helps improve the overall manufacturing cost structure.
  • Increase profitability. Predictive modeling allows optimal process setup, leading to improved asset utilization, optimized material consumption, reduced rework rates and reduced scrap expenses. The result is an improvement in the overall profitability of manufacturing operations.

Features

Enterprise, quality-centric data model.
  • Parts-movement data
  • Continuous and categorical measures
  • Equipment data
  • Physical failure analysis data
  • Field failure data
  • Supplier quality data
  • Engineering process data
  • Environmental data
  • Cost attributes
  • Organizational data
Automated monitoring and alerting.
  • Parts-movement data
  • Measurement data
Predictive modeling.
  • Decision tree
  • Neural network
  • Regression analysis
  • Clustering

Advanced analysis workbench.
  • Easy-to-use, graphical interface
  • Pareto charts
  • Control charts
  • Histograms
  • Distribution analysis
  • Design of experiments
  • Regression and curve fitting

Reporting and key performance indicator dashboards.
  • Key performance indicator dashboard
  • Drillable alerts
  • Standard and ad hoc, Web-based reports
  • Web-based graphs
  • Trend analysis

Screenshots

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Predictive Models

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Advanced analysis workbench

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Executive Dashboard

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System Requirements

Client environment

  • SAS Service Intelligence Architecture Clients
    • Windows 32-bit workstations

Server environment

  • SAS Service Intelligence Architecture Data Integration Server
    • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit for IPF, Solaris SPARC, Windows 32-bit
  • SAS Service Intelligence Architecture EBI Server
    • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF
  • SAS Service Intelligence Architecture OLAP Server
    • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF
  • SAS Service Intelligence Architecture Metadata Server
    • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF
  • SAS Service Intelligence Architecture Midtier
    • AIX, HP IPF, Solaris SPARC, Windows 32-bit
Required/optional software
  • Web Application Server (e.g., Tomcat, IBM WebSphere)
  • Web File Server (e.g., Xythos WebFile Server)

Please contact your SAS representative with any additional questions about technical requirements.


 

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.