Products & Solutions / Supply Chain Intelligence

SAS® Predictive Asset Maintenance

Optimize asset maintenance for reduced downtime and increased productivity

SAS® Predictive Asset Maintenance enables organizations to increase revenues by reducing asset and plant downtime. The solution helps you predict events that can cause outages to reduce unplanned maintenance. As a result, you can maximize the use of maintenance resources to meet operational goals for profitability, safety and environmental compliance.

Benefits

  • Reduce shutdowns and downtime.
  • Reduce unscheduled maintenance.
  • Discover root-causes of failures.
  • Utilize all your data.

Read more

Features

  • Integration of all relevant data.
  • Automated monitoring and alerting.
  • Predictive modeling/model management.
  • Advanced analysis workbench.
  • Dashboards with drillable alerts.

Read more

How SAS® Is Different

Only SAS delivers the entire scope of capabilities required to create a picture of what has happened and transform it with analytic and predictive capabilities into what will happen. SAS Predictive Asset Maintenance provides:
  • Data integration and management. Combine sensor data with other information for monitoring, model development, root-cause analysis and reporting.
  • Predictive modeling. Accurately predict failures of assets and equipment before they occur.
  • Integrated analytical workbench. Obtain powerful integrated root-cause analysis of asset failures and performance issues.
  • Model management. Automatically track the accuracy of predictive models from the development to the retirement of the model.

Benefits

  • Reduce shutdowns and downtime. SAS Predictive Asset Maintenance provides near-real-time monitoring and predictive alerts to help you avoid major defects leading to long downtimes. Alerts generated by predictive models also enable you to proactively address potential performance issues before they cause downtime so you reduce the length of planned shutdowns.
  • Reduce unscheduled maintenance. Predictive and near-real-time performance alerts enable maintenance teams to fix issues during already-scheduled maintenance outages in a planned, more cost-efficient way, increasing availability and profits.
  • Discover root-causes of failures. Award-winning analytics and predictive data mining capabilities drive continually improved reliability and equipment efficiency, as well as better quality. They also help to identify the real drivers of performance issues out of hundreds of measures and conditions. This data helps engineers troubleshoot faster and initiate the best corrective action.
  • Utilize all your data. From legacy to modern MES, ERP, CMMS and other systems, SAS’ enterprise maintenance-centric data model captures large volumes of data, regardless of format or source. The solution then transforms, standardizes and cleanses the data to prepare it for easy consumption by a wide range of user groups.

Features

Integration of all relevant data.
  • Measurement data in both continuous and categorical measures
  • Asset/equipment data
  • Physical failure analysis data
  • Failure data
  • Inspection records
  • Maintenance records
  • Environmental records
  • Cost attributes
  • Organizational data
  • Operations data
Automated monitoring and alerting.
  • Drill down by organization
  • Drill down by asset group
Predictive modeling/model management.
  • Decision tree
  • Neural network
  • Regression analysis
  • Clustering
  • Scoring
  • Model management
Advanced analysis workbench.
  • Pareto charts
  • Control charts
  • Histograms
  • Distribution analysis
  • Regression and curve fitting
Dashboards with drillable alerts.
  • Key performance indicator dashboard
  • Web-based reports
  • Web-based graphs

System Requirements

Client

  • SAS® Service Intelligence Architecture Clients
    • Windows 32-bit workstations

Server

  • SAS® Service Intelligence Architecture Data Integration Server
    • AIX, HP PA-RISC, HP IPF, Linux 32- bit, Linux 64- bit for IPF, Solaris SPARC, Windows 32-bit
  • SAS® Service Intelligence Architecture EBI Server
    • AIX, HP PA-RISC, HP IPF, Linux 32- bit, Linux 64- bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF
  • SAS® Service Intelligence Architecture OLAP Server
    • AIX, HP PA-RISC, HP IPF, Linux 32- bit, Linux 64- bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF
  • SAS® Service Intelligence Architecture Metadata Server
    • AIX, HP PA-RISC, HP IPF, Linux 32- bit, Linux 64- bit for IPF, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF

Midtier

  • SAS® Service Intelligence Architecture Midtier
    • AIX, HP IPF, Solaris SPARC, Windows 32-bit
Required software
  • Web application server (e.g., Tomcat, IBM WebSphere)
  • Web file server (e.g., Xythos Webfile Server)

Please contact your SAS representative with any additional questions about technical requirements.

 

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.