SAS Asset Performance Analytics

Achieve production targets, lower operating costs, and minimize environment, health and safety risks.

Maximize output

Meet production deadlines and revenue goals with fewer unplanned disruptions. Status dashboards and automatic alerts notify operations staff and managers of impending failure so you have time to identify and fix issues – before they become costly problems.

Optimize maintenance cycles

Move toward predictive and prescriptive maintenance strategies to address known sources of failure and performance degradation without driving up costs. Avoid costly just-in-case preventive part replacements by identifying leading indicators of breakdowns.

Improve root-cause analysis

Quickly and accurately identify root causes using advanced analytics, data mining and data visualization to detect hidden patterns in the data. Troubleshoot performance issues faster and more effectively – and understand why they happened so you can take corrective action quickly.

Reduce downtime

Avoid major defects, prevent long downtimes and address potential performance issues before they escalate with automated monitoring and predictive alerts. Workflows and case management capabilities speed problem resolution.

Key features

Keep high-capital assets running at maximum efficiency to meet production goals and boost profitability – without increasing costs or risking failure. Predict and proactively address future problems with machine sensor data that feeds into analytical models. Use root-cause analysis tools to diagnose problems and take corrective action quickly.

Highly scalable data integration & management

Provides a data model that helps remove barriers imposed by siloed operational systems and enables full visibility into what is happening on the shop floor and out in the field.

Automatic monitoring & alerts

Lets you deploy predictive analytics models in batch or real time and sends alerts to appropriate stakeholders.

Advanced analytics & predictive modeling

Accurately and reliably finds patterns hidden in data that indicate an impending failure or performance degradation. Advanced analytics means faster root-cause definition, higher first-time-fix rates and fewer repeat failures.

Self-service data visualization & KPI dashboards

Provides access to standard and customized reports and KPI dashboards with drillable views, snapshots and trends.

Deploy models into live data streams

Processes streaming data in the SAS Event Stream Processing engine. Results are then sent to the application to perform further analyses.

Cloud native

Compatible with cloud technologies – including Docker and Kubernetes – for large-scale, elastic, multitenant, distributed services. Ready-made to take advantage of the large volumes of data generated by the IIoT.