Improve Manufacturing Quality

POWERED BY AZURE

A holistic view of quality across the enterprise and throughout the entire product life cycle.

Manufacturing operations leaders need to reduce cost, improve productivity and minimize risk. Industry 4.0 initiatives can help you transform from a reactive to a proactive approach through scalable data integration and advanced analytics for extracting deeper insights.

How SAS® on Azure Enables You to Improve Manufacturing Quality

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.

Empowerment of scarce engineering resources

  • Provide a complete spectrum of analytical tools, including:
    • Explorative analysis.
    • Design of experiments with optimizers.
  • Reduce variation.

Advanced process control

  • Run models in real time and get predictive alerts on quality issues before they happen.
  • Set up downstream processes to compensate for upstream quality issues.
  • Improve yields.

Tighter controls, greater process efficiency

  • View high volumes of process sensor data in context.
  • Use machine learning algorithms to analyze your process and determine the optimal setpoints.
  • Improve profitability.

Why choose SAS® on Azure for improving manufacturing quality?

Get a consolidated view of quality across products, people, places and processes. 

Powerful

Our advanced data models are built to support sensor and industrial IoT data streams.

Productive

Quality explorations allow users to view high volumes of sensor data in context.

Proactive

Our solution gives you the power to determine optimal setpoints.

Learn how to solve data complexity issues across the analytics life cycle.

Explore More

Learn about optimizing manufacturing quality and yield with SAS® Analytics.

Explore additional manufacturing analytics solutions.

Find out how AI in manufacturing presents new opportunities for IT and operations.

Learn the five steps to accelerating value from your industrial IoT data.

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