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 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 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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SAS® Portal


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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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SAS® Portal

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.

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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.