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.
  • Decrease unscheduled maintenance.
  • Improve root-cause analysis.
  • Enhance visibility.

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Features

  • Integration of all relevant data
  • Automated monitoring and alerting
  • Predictive modeling/model management
  • Advanced analysis workbench
  • Reporting and KPI dashboards with drillable alerts
  • Support for asset replacement decisions

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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 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 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.
  • Persona-based user interface. Access the latest information on key maintenance and reliability performance indicators, drill down to performance trends, and create ad hoc charts, graphs and reports using a point-and-click Web-based interface – all without statistical expertise.

Benefits

  • Reduce shutdowns and downtime. Near-real-time monitoring and predictive alerts help you avoid major defects that can cause long downtimes. Alerts generated by predictive models also enable you to proactively address potential performance issues before they cause downtime or increase the length of planned shutdowns. New Corrective Action and Preventable Action workflows support speedy problem resolution.
  • Decrease 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. In addition, the system lets asset owners make fact-based decisions on whether it is more cost-effective to repair an asset or replace it. Downtimes, production losses, parts costs, labor costs and probabilities of events are all analyzed to find the best solution.
  • Improve root-cause analysis. Award-winning analytics and predictive data mining capabilities drive continuously improved reliability and equipment efficiency, as well as better quality. They also help to identify the real drivers of performance issues out of hundreds, or even thousands, of measures and conditions. The availability of this data helps engineers troubleshoot faster and initiate the best corrective action.
  • Enhance visibility. 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. The data model handles virtually any type of data, to incorporate both the current and future data types your organization may require.

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.
  • Optional add-on: textual information from any source.
Automated monitoring and alerting
  • Drill down by organization.
  • Drill down by asset group.
  • Corrective Action and Preventative Action (CAPA) workflow execution.
Predictive modeling/model management
  • Decision trees.
  • Neural network.
  • Regression analysis.
  • Clustering.
  • Scoring.
  • Model management.
Advanced analysis workbench
  • Pareto charts.
  • Control charts.
  • Histograms.
  • Distribution analysis.
  • Regression and curve fitting.
  • Many more.
Reporting and KPI dashboards with drillable alerts
  • Interactive KPI dashboard.
  • Interactive Web-based reports.
  • Interactive Web-based graphs.
Support for asset replacement decisions
  • Use of historical data.
  • Manual intervention.
  • Scenarios analysis.

System Requirements

Client environment

SAS® Data Integration Server, SAS® Enterprise BI Server and DataFlux® clients

  • Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7**
  • Microsoft Windows (x64): Windows XP Professional for x64, Windows Server 2003 for x64, Windows Server 2008 for x64, Windows Vista* for x64, Windows 7** for x64 Server environment

Server environment

SAS® Data Integration Server

  • HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
  • HP-UX PA-RISC: HP-UX 11iv2 (11.23), 11iv3 (11.31)
  • IBM AIX: 5.3 and 6.1 on POWER architectures
  • Linux for x86 (x86-32): RHEL 4 and 5, SuSE SLES 9, 10 and 11
  • Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9, 10 and 11
  • Solaris on SPARC: Version 9, 10
  • Solaris on x64: Version 10
  • Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7**  
  • Microsoft Windows on x64 (EM64T/AMD64): Windows XP Professional for x64, Windows Server 2003 for x64, Windows Server 2008 for x64, Windows Server 2008 R2 for x64, Windows Vista* for x64, Windows 7** for x64

SAS® Enterprise Model Management Server

  • HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
  • IBM AIX: 5.3 and 6.1 POWER architectures
  • Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9, 10 and 11
  • Solaris on SPARC: Version 9, 10
  • Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7**
  • Microsoft Windows on x64 (EM64T/AMD64): Windows XP Professional for x64, Windows Server 2003 for x64, Windows Server 2008 for x64, Windows Server 2008 R2 for x64, Windows Vista* for x64, Windows 7** for x64

SAS® Enterprise BI Server and SAS® OLAP Server

All platforms under SAS Enterprise Model Management server, plus:

  • HP-UX PA-RISC: HP-UX 11iv2 (11.23), 11iv3 (11.31)
  • Linux for x86 (x86-32): RHEL 4 and 5, SuSE SLES 9, 10 and 11
  • Solaris on x64: Version 10
  • Microsoft Windows (on Itanium): Windows Server 2003 and 2008 for Itanium-based systems
  • z/OS: V1R7, V1R8, V1R9 and higher

SAS® Metadata Server

All platforms under SAS Enterprise Model Management server, SAS Enterprise BI Server and SAS OLAP Server, except:

  • Microsoft Windows on x64

Middle-tier environment

SAS® Enterprise Model Management midtier

  • HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
  • IBM AIX: 5.3 and 6.1 POWER architectures
  • Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9, 10 and 11
  • Solaris on SPARC: Version 9, 10
  • Microsoft Windows (x86-32): Windows XP Professional, Windows Server 2003 family, Windows Server 2008 family, Windows Vista*, Windows 7**
  • Microsoft Windows on x64 (EM64T/ AMD64): Windows XP Professional for x64, Windows Server 2003 for x64, Windows Server 2008 for x64, Windows Server 2008 R2 for x64, Windows Vista* for x64, Windows 7** for x64

SAS Enterprise BI Server midtier

All platforms under SAS Enterprise Model Management midtier, plus:

  • Solaris on x64: Version 10
Required software
  • Web application server (e.g., Tomcat, IBM WebSphere, JBoss)
  • 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.