Products & Solutions / Supply Chain Intelligence

SAS® Predictive Asset Maintenance

Run assets at peak performance to comply with profitability, safety and environmental goals

SAS Predictive Asset Maintenance helps organizations to accurately predict events that could cause outages and to run their assets at peak performance. The solution uses data integration, automation, analysis and predictive analytics to boost uptime, performance and productivity while lowering maintenance costs and the risk of revenue loss.

Benefits

  • Reduce downtime.
  • Optimize maintenance cycles.
  • Reduce unscheduled maintenance.
  • Improve root-cause analysis.
  • Enhance data visibility.

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Features

  • Enterprise maintenance-centric data model.
  • Automated monitoring and alerting.
  • Predictive modeling.
  • Descriptive analysis.
  • Reporting and KPI dashboards with drillable alerts and reports.
  • Support for asset replacement decisions.

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Screenshot

Key Performance Indicators by Asset and Geo


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How SAS® Is Different

SAS delivers the full scope of capabilities required to create a picture of what has happened – as well as analytic and predictive capabilities that allow you to transform what will happen in the future. SAS Predictive Asset Maintenance provides:

  • Data integration and management. Combine sensor data with inspection and maintenance data, historical information, inventory data, warranty data and more into one database for monitoring, model development, root-cause analysis and reporting.
  • Predictive modeling. Accurately predict failures and anomalies of assets and equipment before they occur.
  • Integrated, advanced analytics. Provide your engineers with powerful tools for root-cause analysis of asset failures and performance issues.
  • Enterprise business intelligence.  Using a point-and-click, Web-based interface, you can access the latest information on key maintenance and reliability performance indicators, drill down to performance trends, and create ad hoc charts, graphs and reports – all without statistical expertise.

Benefits

  • Reduce downtime. Near-real-time monitoring and predictive alerts and models help you avoid major defects, prevent long downtimes and address potential performance issues before they escalate. Workflows and case management speed problem resolution.
  • Optimize maintenance cycles. Leading-edge optimization algorithms and solvers let you expand the maintenance cycle without jeopardizing asset uptimes or risking degradations or failures.
  • Reduce unscheduled maintenance. Predictive and near-real-time performance alerts allow maintenance teams to fix issues during scheduled outages in a planned, cost-effective way – and choose the optimal time to replace assets.
  • Improve root-cause analysis. Award-winning analytics and predictive data mining capabilities drive continuously improved reliability, efficiency and  quality – identifying root causes and enabling engineers to troubleshoot and correct performance issues faster and more effectively.
  • Enhance data visibility. After capturing large volumes of all types of data – from legacy to modern MES, ERP, CMMS and other systems – the solution transforms, standardizes and cleanses the data to make it accessible to a wide range of users.

Features

Enterprise maintenance-centric data model.
  • Measurement data provided in both continuous and categorical measures for sensor/tag data and alarms.
  • Asset/equipment data.
  • Physical failure analysis data.
  • Failure data.
  • Inspection records.
  • Maintenance records.
  • Environmental data.
  • Cost attributes.
  • Organizational data.
  • Textual information from any source (optional).
Automated monitoring and alerting.
  • Drill down by organization.
  • Drill down by asset group.
  • Drill down by functional area.
  • Execute workflow.
Predictive modeling.
  • Decision trees.
  • Neural networks.
  • Regression analysis.
  • Clustering.
  • Scoring.
Descriptive analysis.
  • Reliability analysis.
  • Pattern analysis.
  • Correlation analysis.
  • Regression analysis.
Reporting and KPI dashboards with drillable alerts and reports.
  • Interactive KPI dashboard.
  • Interactive Web-based reports.
  • Interactive Web-based graphs.
Support for asset replacement decisions.
  • Uses historical data.
  • Allows manual intervention.
  • Includes scenario analysis.

Screenshots

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Key Performance Indicators by Asset and Geo

Integrated business intelligence provides easy access to standard or customized reports throughout the organization.

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Asset Performance

Users quickly visualize patterns in asset performance with exploratory data analysis.

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Edit Data Selection

Users access and integrate data for analysis through hierarchical menu structure.

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Executive dashboards

Executive dashboards enable reporting on current asset performance, downtime and mean time to repair across geographies, organizational units, functional areas and asset types.

View Screenshot

System Requirements

Client environment

SAS® Predictive Asset Maintenance Client

  • Windows 32-bit workstations, Windows for x64 workstations

SAS® Enterprise Miner TM  Personal Client

  • Windows 32-bit workstations, Windows for x64 workstations

JMP® Pro

  • Windows 32-bit workstations, Windows for x64 workstations

JMP® 

  • Windows 32-bit workstations, Windows for x64 workstations

SAS® Model Manager Report Registration Client

  • AIX, HP IPF, Linux for x64, Solaris SPARC, Solaris for x64,Windows 32-bit, Windows for x64

SAS® Enterprise Content Categorization Studio Client

  • Windows 32-bit workstations, Windows for x64 workstations

SAS® Data Integration Server and SAS® Enterprise BI Server Clients

  • Windows 32-bit workstations, Windows for x64

DataFlux® dfPower® Client

  • Windows 32-bit workstations, Windows for x64 workstations compatibility mode

Server environment

SAS® Supply Chain Intelligence Center Data Integration Server

  • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit, Solaris SPARC, Solaris for x64, Windows 32-bit, Windows 64-bit

SAS® Supply Chain Intelligence Center EBI Server

  • AIX, HP PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit, Windows 64-bit IPF

SAS® OLAP Server

  • AIX, HP-UX PA-RISC, HP-UX IPF, Linux 32-bit, Linux 64-bit, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit, Windows 64-bit IPF

SAS® Metadata Server

  • AIX, HP-UX PA-RISC, HP IPF, Linux 32-bit, Linux 64-bit, Solaris SPARC, Solaris for x64, z/OS, Windows 32-bit, Windows 64-bit IPF

SAS® Enterprise BI Server Middle-Tier

  • AIX, HP-UX IPF, Linux for x64, Solaris SPARC, Solaris for x64, Windows 32-bit, Windows for x64

SAS® Enterprise Model Management Server

  • AIX, HP PA_RISC, HP IPF, Linux 32-bit, Linux for x64, Solaris SPARC, Windows 32-bit server, Windows for x64 server

SAS® Text Miner

  • AIX, HP PA_RISC, HP IPF, Linux 32-bit, Linux for x64, Solaris SPARC, Windows 32-bit server, Windows for x64 server

SAS® Enterprise Case Management Server

  • AIX, HP IPF, Linux for x64, Solaris SPARC, Solaris for x64, Windows 32-bit, Windows for x64

SAS® Enterprise Content Categorization Server

  • AIX, HP PA_RISC, HP IPF, Linux 32-bit, Linux for x64, Solaris SPARC, Solaris for x64, Windows 32-bit, Windows for x64

SAS® Scalable Performance Data Server® 

  • AIX, HP PA_RISC, HP IPF, Linux for x64, Solaris SPARC, Solaris for x64, Windows 32-bit, Windows for x64 in compatibility mode

SAS® Predictive Asset Maintenance Middle-Tier

  • Linux for x64, Windows for x64

SAS® Enterprise Model Management Middle-Tier

  • AIX, HP-UX IPF, Linux for x64, Solaris SPARC, Windows 32-bit, Windows for x64

 Required software

  • Web application server (JBoss)

Ready to learn more?

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