Manufacturing Analytics Software

Man standing next to conveyor belts in factory with laptop

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.

Why choose SAS for manufacturing solutions?

Become more sustainable while getting the most out of your plant. Customize maintenance to your needs. Improve problem-solving efficiency. Build confidence in your assets. Save energy by running assets more efficiently and producing less waste.

Improve performance

Avoid major defects, prevent long downtimes and address potential performance issues before they escalate with automated monitoring and predictive alerts.
Build confidence in your assets

Predictive modeling identifies potential issues from aging and underperforming high-capital assets so you can trust them and keep them running at maximum efficiency.
Reduce unnecessary expenses

Save money on rush part deliveries, overtime repair costs, unnecessary part replacements and expensive safety stocks with best-in-class AI models that all skill sets can create to maximize throughput.
Achieve predictive maintenance

Examine the relationships and quickly predict the impact of key data on your equipment so you can shift your maintenance strategy from reactive to predictive.
Increase productivity and save energy with greater efficiency

Provide engineers with the missing insights needed to quickly tune process setpoints with pre-built machine learning models, visualizations and dashboards. Run assets at maximum efficiency for higher productivity and energy savings.

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.

Engineer with tablet inspecting robotic arm

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.

Read the story Read the USG story
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.

Read the story Read the Wienerberger story
80%

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

Read the story Read the SSAB story
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.

Read the story Read the Murata Manufacturing story
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

Read the blog Read the blog: Why accurate predictive maintenance requires digital twins

White paper

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

Get the white paper Get the 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

Get the white paper Get the white paper: Optimizing energy use in manufacturing with data and AI

Webinar

Optimizing Energy Use in Manufacturing With Data and AI

Watch the webinar Watch the webinar: Optimizing energy use in manufacturing with data and AI

Explore resource hub Explore the manufacturing resource hub

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.

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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.