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SAS® Production Quality Analytics

Achieve higher manufacturing quality at a lower cost.

Get a comprehensive view of quality and operational performance across the enterprise and throughout your entire supply chain. Achieve better Industrial Internet of Things support with advanced data models. By combining the power of data integration, automation and analytics, SAS enables you to fully understand operational processes so you can make sustainable improvements and lower associated costs. 

Benefits

Get support for the Industrial Internet of Things.

With real-time monitoring throughout the enterprise, it's easier to identify patterns while processes are ongoing. You can be more proactive with fixing or avoiding problems and making improvements to equipment and processes on the plant floor. 

Gain a holistic view of the enterprise.

An enterprise quality-centric data model can handle practically any type of data from virtually any source – including supplier data. And state-of-the-art analytics and reporting capabilities enable you to align performance strategies with results, so you can close the gaps between targets and actual performance.

Improve quality and minimize production costs.

Our advanced analytics, predictive data mining and machine learning capabilities drive continuous quality improvements, improved reliability and higher yields. With tighter controls and more efficient processes, you can minimize rework rates and scrap rates. This improves the overall manufacturing cost structure.

Understand changes quickly.

World-class quality control delivers up-to-the-minute insight into the performance and quality of your operations, enabling tighter process control at every level. Early-warning analytics alerts you to potential quality and performance issues so you can address them proactively before they escalate into customer problems.

Screenshots

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Features

Production Quality Analytics Executive Dashboard Shown on Monitor
  • Enterprise quality-centric data model.
  • Automated monitoring and alerting.
  • Predictive modeling.
  • Advanced analysis workspace.
  • Workflow and case management.


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Our objective is to improve production, not spend time producing or collecting data.

Technical Information

Recommended Resources


Read the SAS Production Quality Analytics fact sheet.

Read fact sheet


Learn about Quality 4.0 and which tools can drive your transformation.

Read e-book


Join our virtual forum to hear how analytics is changing the landscape for manufacturers.

Join virtual forum

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