Man and woman in front of computer screen in factory

Manufacturing Solutions

Connected Factory & Smart Manufacturing Software

Improve enterprise reliability and lower the cost of unexpected breakdowns.

How SAS® Enables the Connected Factory

Connect disparate data sources in the era of Industry 4.0. Apply a combination of monitoring, diagnostics and predictive maintenance techniques to improve asset and product reliability, as well as lower the cost of unexpected downtime.

A holistic view of operations

  • Remove barriers imposed by siloed operational systems and gain full visibility into what's happening on the shop floor and out in the field.
  • Bring together the voices of the process, product and customer for a single, comprehensive view of both process and product quality.
  • Integrate structured and unstructured operational data from sources across your business.

Predictive maintenance

  • Minimize unplanned downtime and increase the availability of key assets.
  • Maximize overall equipment effectiveness (OEE).
  • Increase return on assets (ROA) while reducing maintenance costs by shortening the mean time to repair (MTTR).
  • Avoid rush parts deliveries, repair overtime payments and high buffer stocks.

Early warning of potential issues

  • Apply quality-specific data models and patented analytics to drive early warning of emerging quality and reliability issues, data-driven root cause analysis and deeper process understanding.
  • Help predict potentially catastrophic equipment and process incidents.
  • Quickly identify design and production defects before they become widespread.

Flexible implementation

  • Start small from one use case for a specific asset and grow in analytics maturity, number of use cases applied and scale of deployment for a smarter, more connected factory.

Why choose SAS for a connected factory & smart manufacturing software?

Apply predictive models to IoT, sensor and other equipment performance data to get early warning of potential failures or poor product performance. This results in reduced equipment downtime, better asset performance (greater yield and/or efficiency), lower service-related costs and improved SLA performance.

Reduce downtime & increase yields

Help ensure maximum operational efficiency of all machines in your connected factory production processes to increase yields and throughput while reducing scrap, waste and energy consumption.

Lower maintenance & operations costs

Minimize costly unplanned downtime and optimize your maintenance cycles.

Create new revenue streams

Capture more value in the marketplace by augmenting your current product sales with high-margin service revenue.

Customer Success

Manufacturers Working Smarter With SAS

  • Optimizing the supply chain with analytics and IoT

    Georgia-Pacific relies on SAS to improve equipment efficiency, reduce downtime, optimize shipping logistics and predict customer churn – balancing speed and quality to maximize efficiency and profitability.

  • Using machine learning to transform predictive maintenance for complex equipment

    Lockheed Martin applies machine learning and IoT analytics to data from customers, its own engineers and parts vendors to form a real-time best practice for aircraft maintenance.

  • Putting IoT data from connected vehicles to work

    Iveco Group uses SAS advanced analytics to interpret vast amounts of sensor data to uncover hidden insights that can reduce vehicle maintenance costs through innovative remote diagnostic tools.