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Improve your overall equipment effectiveness (OEE) and achieve your manufacturing goals with OEE software from SAS

OEE optimization solutions

Increase OEE while saving on unnecessary expenses. SAS predictive maintenance solutions enable optimized asset maintenance for greater uptime and productivity. Energy optimization solutions reduce energy usage and costs without impacting quality for improved sustainability efforts. Get started with OEE software from SAS.



Improve your manufacturing operations

Meet or exceed your production goals while lowering costs. Increase operational efficiencies, performance, productivity, uptime and sustainability – while saving on unnecessary expenses.

Maximize equipment performance for greater efficiency and uptime

Increase throughput with trustworthy AI that helps you quickly see and address inefficiencies across all assets.

Increase availability by minimizing planned and unplanned downtime

Achieve predictive maintenance to proactively lower the impact on operations, repair time and output.

Optimize throughput and reduce costs

Meet production goals and lower unnecessary expenses with higher-quality products.

Improve sustainability efforts

Reduce energy usage and waste while protecting ESG scores and lowering costs, including CO2 certificate spending.

The value of overall equipment effectiveness solutions from SAS

  • 10%

    Georgia-Pacific achieved a 10% improvement in overall equipment efficiency, a 30% reduction in unplanned downtime, 10% more products in stores, and the ability to run 30,000 models to calculate optimal production settings.

  • Wienerberger AG reduced energy consumption, sped up plant tuning from months to days and gained new insights into KPIs. The use case won the 2021 MIMA Award for Sustainability from Roland Berger and Microsoft.

  • 80%

    SSAB decreased accidents, achieved predictive maintenance and reduced unplanned/unwanted events by 80%.

  • Murata Manufacturing has improved processes without revamping them and has seen impressive results. A yield improvement of just 1% means a gain of $50 million.

  • 26%

    A multinational chemical company reduced energy by 26%, increased output by 30%, and increased yield by 6%.

  • 7.4%

    A global building materials manufacturer reduced energy and materials by 7.4%.


    Recommended resources for OEE optimization

    Blog

    Why accurate predictive maintenance requires digital twins

    White paper

    The next big leap in asset management comes with predictive maintenance at scale

    White paper

    Optimizing energy use in manufacturing with data and AI

    Webinar

    Optimizing Energy Use in Manufacturing With Data and AI


    SAS is a leader in analytics solutions

    SAS is a Leader in The Forrester Wave:
AI/ML Platforms, Q3 2024.

    SAS is a Leader in the 2024 Gartner® Magic Quadrant for Data Science and Machine Learning.

    SAS is a Leader inThe Forrester Wave: Real-Time Interaction Management, Q1 2024.


    Featured product

    Learn more about our manufacturing quality analytics product that can help you improve operations, achieve predictive maintenance, reduce energy and waste, and lower costs.

    SAS Analytics for IoT

    Drive innovation, efficiencies and results by putting IoT analytics in users' hands – from predictive maintenance at scale to superior process optimization and quality, energy cost optimization and beyond – with this cloud-native software.

    • Sensor-based data model.
    • Business-focused data selection and launchers.
    • Data profiles and the ability to explore high volumes of sensor data.
    • Predictive maintenance with stability monitoring.