SAS^® Predictive Asset Maintenance

SAS Predictive Asset Management provides an analytics-based framework to improve uptimes, performance and availability of crucial assets while reducing the amount of unscheduled maintenance to minimize maintenance-related costs and disruptions of the operation.

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SAS Predictive Asset Maintenance helps organizations achieve optimized, sustainable maintenance strategies with minimal disruption to production. Look to SAS for the ability to:

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-cause analysis
  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.
• Improve visibility
  From legacy to modern MES, ERP, CMMS and other systems, SAS software’s 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

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.

System requirements
Client

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

• 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 Enterprise Business Intelligence 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
• 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.